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All universities are affected by the coronavirus. This implies that we convert many courses to an online format.
For detailed information, visit the homepages of the universities.

Online

SamhÀllet och AITillÀmpningar av AI
Emerging AI technologies offer a wide range of business opportunities with the promise of marvelous results.  However, starting an AI project and maximizing the trade-off between business impact and resources spent is still a demanding task requiring a thorough understanding of what AI can and cannot do for your business. By taking this course, you will learn:
  • what you can use artificial intelligence for,
  • how you as a business leader should approach it from a corporate strategy point of view,
  • what crucial strategic decisions you have to make in advance,
  • what competences you need in order to succeed,
  • how you should start and proceed with the different stages of your project.
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Online

SamhÀllet och AITillÀmpningar av AI
Emerging AI technologies offer a wide range of business opportunities with the promise of marvelous results.  However, starting an AI project and maximizing the trade-off between business impact and resources spent is still a demanding task requiring a thorough understanding of what AI can and cannot do for your business. By taking this course, you will get a brief introduction to:
  • what you can use artificial intelligence for,
  • how you as a business leader should approach it from a corporate strategy point of view,
  • what crucial strategic decisions you have to make in advance,
  • what competences you need in order to succeed,
  • how you should start and proceed with the different stages of your project.
Close Read more at ROYAL INSTITUTE OF TECHNOLOGY (KTH)

Online

Machine LearningApplications of AI
AI Class sets out to improve general knowledge about Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL). The aim to increase understanding of how these techniques can be used to improve the use of large amounts of data. The education modules have been developed by researchers at MÀlardalen University and RISE SICS VÀsterÄs, in cooperation with BillerudKorsnÀs and PulpEye.
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Online

Applications of AIHuman-AI InteractionMachine Learning
Artificial intelligence (AI) is not just a technology. Beyond the algorithms, AI drives services that are rapidly changing our work, our personal lives, and in extension the very fabric of society. The course Human-Centered Machine Learning is podcast-based and aims to provide professionals with more knowledge on machine learning, how to design better services, and how to avoid some of the pitfalls with different AI techniques (predominantly various kinds of machine learning and deep learning). The content is on the one hand focused on the basics of the technology, and on the other hand a design-oriented approach to building human-centered services using AI technology. The podcast is in English and consists of 12 episodes of varying length, most of them around 40 minutes.
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Online

SamhÀllet och AISamverkan mellan mÀnniskor och AITillÀmpningar av AI
This four-week course titled AI and Law explores the way in which the increasing use of artificially intelligent technologies (AI) affects the practice and administration of law defined in a broad sense. Subject matters discussed include the connection be between AI and Law in the context of legal responsibility, law-making, law-enforcing, criminal law, the medical sector and intellectual property law. The course aims to equip members of the general public with an elementary ability to understand the meaningful potential of AI for their own lives. The course also aims to enable members of the general public to understand the consequences of using AI and to allow them to interact with AIs in a responsible, helpful, conscientious way. At the end of this course, you will have a basic understanding of how to: ‱ Understand the legal significance of the artificially intelligent software and hardware. ‱ Understand the impact of the emergence of artificial intelligence on the application and administration of law in the public sector in connection with the enforcement of criminal law, the modelling of law and in the context of administrative law. ‱ Understand the legal relevance of the use of artificially intelligent software in the private sector in connection with innovation and associated intellectual property rights, in the financial services sector and when predicting outcomes of legal proceedings. ‱ Understand the importance of artificial intelligence for selected legal fields, including labour law, competition law and health law.
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Online

MaskininlÀrningMatematik och statistik
This online MOOC course introduces you to Artificial Intelligence (AI) and Machine Learning. Additional to this, it will give you basic knowledge in Big Data, Mathematics, Probability, Statistics, and the programming language Python. In addition to giving you this knowledge, successful completion of the course will make you eligible for these academic online courses at MĂ€lardalen University (MDH):
  • Machine Learning with Big Data 7.5 credits
  • Predictive Data Analytics 2.5 credits
  • Deep Learning with Industrial Imaging 2.5 credits
If you pass the final test of the Basic Knowledge on Machine Learning MOOC course you can apply for the above academic courses at MDH without providing any other proof of eligibility than the certificate from the MOOC course. Please note that you are not guaranteed to be admitted to the above academic courses since the number of students in the courses is limited. Successful completion of the MOOC course will not make you eligible for any other course.
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Online

Kunskapsrepresentation och resonerandePlanering och schemalÀggningSamhÀllet och AITillÀmpningar av AI
This course is about what you can do when everything around you seems to be moving due to digital change. It is about how to handle the disruptive process that tends to unfold in industry nowadays due to digitalisation and about understanding how the new business landscape is evolving and heading for a new position. By taking this course, you will get a brief introduction about:
  • new business opportunities and the need for re-organization;
  • digitalisation effects on customers as well as on external and internal processes;
  • digital trends that change value creation; master strategies, methods and approaches that are directly applicable for you and your company when tackling the digital transition;
  • sorting mechanisms for better prioritisation.
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Online

Kunskapsrepresentation och resonerandePlanering och schemalÀggningSamhÀllet och AI
This course is about what you can do when everything around you seems to be moving due to digital change. It is about how to handle the disruptive process that tends to unfold in industry nowadays due to digitalisation and about understanding how the new business landscape is evolving and heading for a new position. By taking this course, you will learn about:
  • new business opportunities and the need for re-organization,
  • digitalisation effects on customers as well as on external and internal processes,
  • digital trends that change value creation,
  • master strategies, methods and approaches that are directly applicable for you and your company when tackling the digital transition,
  • sorting mechanisms for better prioritisation.
Close Read more at ROYAL INSTITUTE OF TECHNOLOGY (KTH)

Online

Computer VisionIntelligent Agents and Multi-agent SystemsMachine LearningRoboticsApplications of AI
This course will teach you the fundamental mathematical models for many real-world problems with autonomous systems. Key topics include Markov decision process, reinforcement learning and event-based methods as well as the modelling and solving of decision-making for autonomous systems. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to develop their knowledge in decision-making models for autonomous systems. Enhance your decision-making skills in automotive engineering by learning from Chalmers, one of the top engineering schools that distinguished through its close collaboration with industry.
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Online

SamhÀllet och AISamverkan mellan mÀnniskor och AITillÀmpningar av AI
Enhance the business development capabilities of your organisation and get ahead in the ongoing digital transformation! Developed from four years of successful digital transformation courses, this executive short course helps individuals and organisations to increase the effects and impact of digitalization, multiplying the benefits for customers and the entire business ecosystem. The course not only provides methods and tools to increase business impacts but also presents a framework for “What to do now rather than later?” road map. Its purpose – to enhance business development capabilities within four industry segments: manufacturing, utilities (primarily energy and telecoms), banking and government. Learning objectives
  • Understand new business model opportunities and the need to re-organize
  • Learn about digitalization effects on customers and external and internal processes
  • Find out about speed and digital trends that changes how value can be created
  • Master strategies, methods and approaches that are directly applicable for you and your company when tackling the digital transition
  • Discover sorting mechanisms. What to do now rather than later?
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Online

Computer VisionIntelligent Agents and Multi-agent SystemsMachine LearningMathematics and statistics
In this course, we will introduce you to the fundamentals of sensor fusion for automotive systems. Key concepts involve Bayesian statistics and how to recursively estimate parameters of interest using a range of different sensors. The course is designed for students who seek to gain a solid understanding of Bayesian statistics and how to use it to fuse information from different sensors. We emphasize object positioning problems, but the studied techniques are applicable much more generally. The course contains a series of videos, quizzes and hand-on assignments where you get to implement many of the key techniques and build your own sensor fusion toolbox.
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Online

SamhÀllet och AISamverkan mellan mÀnniskor och AITillÀmpningar av AI
This live online executive short course provides you with an understanding of AI technologies and application opportunities in order to enable you to evaluate the needs and demands of AI processes. It explains how to make a profitable start and understand what you as a business manager need to know in order to guide your organisation into new opportunities based on AI technologies. It will also demonstrate how AI is changing the business landscape, giving you the tools to ask the right questions and find out how you can use AI to your advantage.
Close Read more at ROYAL INSTITUTE OF TECHNOLOGY (KTH)
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Previous courses.

, kurs

MaskininlÀrningPlanering och schemalÀggning

Answer Set Programming (ASP) Àr ett logiskt programmeringsparadigm utformat inom omrÄdet Artificial Intelligence (AI) och anvÀnds för att lösa komplexa sökproblem. ASP Àr ett sprÄk för att beskriva och lösa problem av logisk karaktÀr som Àr anvÀndbart för att hantera verklighetsbaserade scenarier. Fördelarna med logisk programmering tillsammans med ASP: s har nyligen gjort ASP attraktiv bÄde för akademin och industrin. Denna kurs fokuserar pÄ att formalisera och lösa olika sökproblem i planering, schemalÀggning och systemkonfiguration i ASP. Kursen riktar sig till dig som Àr yrkesverksam. Kursen har tre obligatoriska trÀffar via Zoom.

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Halmstad

DatavetenskapInformationsvetenskapMaskininlÀrningTillÀmpningar av AI

Kursen ger en introduktion till Machine Learning (ML) och riktar sig till personer med en ingenjörsexamen (eller motsvarande) som inte har haft grundlĂ€ggande ML och AI i sin grundutbildning. Kursen ingĂ„r Högskolan i Halmstads kurspaketet RELIFE (hh.se/relife) dĂ€r du som deltagare kan lĂ€sa hela kurspaketet eller enstaka kurser. Kursen Ă€r för yrkesverksamma och ges pĂ„ distans pĂ„ engelska. AnmĂ€lan Ă€r öppen sĂ„ lĂ€nge det finns möjlighet att bli antagen.   Mer om kursen (pĂ„ engelska) The course Supervised Machine Learning (LĂ€rarledd Machine Learning) provides a broad introduction to Machine Learning (ML). Students will learn about standard supervised ML techniques for regression and classification as well as best practices in ML, and gain practice implementing ML algorithms in Python. The course "Supervised Machine Learning" is broken down into three modules of 2.5 credits each: 1. Introduction to regression and classification (8 x 45 min) 2. Overfitting and generalization (8 x 45 min) 3. Neural networks (10 x 45 min) Each of the lectures delivered through Zoom is followed by practical lab assignments in Python, provided as a Jupyter notebook, which allows the participants to dig into the concepts presented in the lecture and put them to practice. Exams consist of the practical lab assignments, as well as a test that will be conducted online on Blackboard at the end of each module. The course instructors teach a similar course in our master’s programmes.

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Syftet med kursen Àr att studenten ska fÄ möjlighet att bekanta sig med de praktiska utmaningar som man möter i verkliga dataminingproblem inom datornÀtverk och nÀtverkssÀkerhet. Genom att lÄta studenten möta problemformuleringar pÄ affÀrsnivÄ, samt analys av mÀngd och kvalitet av tillgÀnglig data, sÄvÀl som selektion av lÀmpliga algoritmer och utvÀrdering av resultat, förvÀntas studenten skaffa sig förstÄelse för bÄde möjligheter och begrÀnsningar med olika metoder inom maskinlÀrande med fokus pÄ datornÀtverk och nÀtverkssÀkerhet. Undervisningen sker pÄ distans utan trÀffar pÄ campus.

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, kurs

Planering och schemalÀggningRobotik

Det som Ă€r lovande med intelligenta robotsystem Ă€r att de kan utföra fler uppgifter och mer effektivt Ă€n en enda industriell robotlösning. Intelligenta robotar agerar kompetent eftersom de kan planera, ordna och genomföra de Ă„tgĂ€rder som Ă€r lĂ€mpliga i det sammanhang dĂ€r de befinner sig. För att uppnĂ„ denna kapacitet anvĂ€nder intelligenta robotar sökmetoder frĂ„n artificiell intelligens. Dessa Ă€r generella algoritmer för att lösa kombinatoriska problem, dvs de utgör en robots "förmĂ„ga att resonera". Denna kurs introducerar de viktigaste typerna av AI-sökmetoder, samt deras anvĂ€ndningar- inom tre industriellt relevanta tillĂ€mpningsomrĂ„den, nĂ€mligen resursplanering, rörelseplanering och samordning av flera robotar. Kursen har tre obligatoriska trĂ€ffar via Zoom. Kursen riktar sig till dig som Ă€r yrkesverksam.  

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, kurs

RobotikTillÀmpningar av AI

ROS (Robot Operating System) Àr en uppsÀttning av mjukvarukomponenter som ofta anvÀnds i forskning inom autonoma system. Kortfattat sÄ hanterar ROS kommunikation mellan olika plattformar, sensorer och stÀlldon samt visualisering, simulering och loggning av data. I ROS Àr det Àven lÀtt att dela med sig av egna metoder och algoritmer vilket har gjort att det finns en större mÀngd forskningsresultat implementerat vilka kan anvÀndas direkt. ROS har Àven börjat anvÀndas inom industrin, frÀmst inom R&D. Denna kurs ger dig möjlighet att anvÀnda och tillÀmpa ROS inom ett omrÄde du önskar. Kursen har tre obligatoriska trÀffar via Zoom. Kursen riktar sig till dig som Àr yrkesverksam.

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, kurs

MaskininlÀrning

För att bra maskininlĂ€rningsmodeller ska kunna tas fram med hjĂ€lp av de algoritmer som diskuteras pĂ„ kursen ”Introduktion till maskininlĂ€rning – del I” sĂ„ krĂ€vs det att datamaterialet anvĂ€nds och förbehandlas pĂ„ rĂ€tt sĂ€tt. Förutom detta sĂ„ kommer du under kursens gĂ„ng att lĂ€ra dig mer om de praktiska aspekter kring tillĂ€mpning av maskininlĂ€rningstekniker pĂ„ verkliga problem genom att tolka och agera utifrĂ„n de resultat som metoden genererat. Dessa inkluderar metoder för attributsextrahering (för att ta reda pĂ„ vilken del av datamaterialet som Ă€r relevant för just ditt problem); avvĂ€gning mellan bias och varians (för att ta reda pĂ„ om du har tillrĂ€ckligt med data till din modell); flermodellsavvĂ€gning (för att kunna kombinera mer Ă€n en maskininlĂ€rningsmodell); samt andra praktiska rekommendationer. Med hjĂ€lp av inhĂ€mtad kunskap ska du och övriga kursdeltagare sedan lösa ett klassificeringsproblem och pĂ„ sĂ„ vis skaffa er praktisk erfarenhet av att anvĂ€nda maskininlĂ€rning. Kursen riktar sig till dig som Ă€r yrkesverksam. Kursen har tre obligatoriska halvdagstrĂ€ffar via Zoom.

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Data ScienceMathematics and statisticsApplications of AI

This course introduces students to the fundamentals of experiment design and statistical inference models for data analysis. The courses provides a hands on experience in designing an experiment, collecting data and drawing conclusions. Statistics in a science of decision making and conclusion drawing in the presence of variability. In rare cases, to be able to make a decision about a new product, or draw conclusions from an observed phenomena, we can collect observations from the entire population and as a result make a definitive conclusion about its attributes, but most often that is not the case. As a we often opt to performing an experiment, or making passive observation with only a-sub sample of the population that will help us extrapolate and make decision about the rest of the unobserved samples. The course is given on-line with three mandatory Zoom-meetings.

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Örebro , kurs

MaskininlÀrning

FörstÀrkningslÀrande (Reinforcement Learning - RL) Àr en metod för att lösa sekventiella beslutsproblem. MÄlet med RL Àr att fÄ en optimal policy genom att lÀra av försök och misstag. Denna kurs omfattar grundlÀggande och avancerade RL-algoritmer för bÄde diskreta och kontinuerliga tillstÄnds- och handlingsrum. Ett exempel Àr att kombinera inlÀrning och sökning. Vi förklarar ocksÄ hur dessa algoritmer implementeras med djupa inlÀrningstekniker. RL-baserade tillvÀgagÄngssÀtt har visat imponerande prestanda pÄ komplexa uppgifter med stora mÀngder data. Vi kommer ocksÄ att prata om hur RL-strategier presterar pÄ verkliga problem och diskutera begrÀnsningar.

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LuleÄ

Machine Learning

The course is an advanced course in deep learning. The course is set out to provide knowledge to the students which is expected to help them address various machine learning problems with most recent state-of-the-art methodology.

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Societal Aspects of AIHuman-AI Interaction

As AI systems become more common and expand their abilities, the decisions they made have a crucial impact on society as a whole. Whether they are designed to recommend content or product online, to assist judges or physicians in their decision-making, or to decide how to distribute mortgages or video surveillance cameras, these systems can have a crucial and lasting impact on all of us. For this reason, it is of paramount importance that those in charge of designing such systems work toward ethical and responsible systems. This course covers the theoretical and practical aspects of normative ethics and how they apply to AI systems, discuss how AI systems can become biased, as well as how to prevent and correct possible bias. Through concrete examples, case studies, and project, this course aims at raising awareness on the problem of ethical AI as well as giving the students practical experience on how to ensure ethical and responsible development of AI systems in their everyday work. This course is given on-line with three mandatory Zoom-meetings.  

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Natural Language ProcessingKnowledge Representation and Reasoning

Natural Language Processing (NLP) is a sub-field of Artificial Intelligence (AI) that studies how computers process human language. This course allows learners to obtain knowledge about NLP problems, applications, and recent methods for solving them. The aim of this course is to expertise in applying neural networks and deep learning methods to solve ongoing problems in NLP.   The course is given on-line with three mandatory Zoom-meetings.

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Computer VisionPlanning and SchedulingRobotics

With probabilistic methods, you can make mobile robots navigate safely in shared environments using low-cost onboard sensors without expensive external infrastructure. In this course, we will introduce you to the application of probabilistic methods for automatic map building and accurate self-positioning. This course is given on-line with three mandatory Zoom-meetings.

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Örebro , kurs

DatavetenskapMaskininlÀrningTillÀmpningar av AI

Örebro universitet erbjuder kursen Autonoma robotar och ROS för dig som yrkesverksam. Utbildningarna leds av det internationellt erkĂ€nda forskningscentret AASS, som ligger i framkant vad gĂ€ller forskning inom artificiell intelligens (AI), robotik och autonoma system Denna kurs ger en omfattande introduktion till olika traditionella och innovativa modeller, algoritmer och ansatser inom artificiell intelligens, mer Ă€n bara maskininlĂ€rning. GrundlĂ€ggande idĂ©er - till exempel för sökning, optimering, planering, resonemang, osĂ€kerhet och Ă€ven maskininlĂ€rning introduceras i videoförelĂ€sningar tillsammans med konceptuella exempel som ska lösas av studenterna. Detta Ă€r en distanskurs med tre obligatoriska fysiska halvdagstrĂ€ffar pĂ„ Örebro universitet inklusive tvĂ„ seminarier. Under det första seminariet kommer studenterna att presentera ett arbete / uppsats vald frĂ„n en aktuell litteraturlista sammanstĂ€lld av lĂ€rarna. LĂ€mpliga AI-lösningar för de problem som intresserar studenterna stĂ„r i fokus vid det andra seminariet.

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LuleÄ

Machine Learning

The contents of the course will be specified by the examiner at the actual course cycle.

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LuleÄ

Data ScienceKnowledge Representation and ReasoningMachine LearningApplications of AI

The course covers the concepts, models and computation methods for computer programs and systems that can autonomously, learn and generalize new knowledge and feature self-awareness.

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Online

SamhÀllet och AISamverkan mellan mÀnniskor och AITillÀmpningar av AI

This course provides you with an understanding of AI technologies and application opportunities in order to enable you to evaluate the needs and demands of AI processes. It explains how to make a profitable start and understand what you as a business manager need to know in order to guide your organisation into new opportunities based on AI technologies. Both the live online masterclass and the available online courses will demonstrate how AI is changing the business landscape, giving you the tools to ask the right questions and find out how you can use AI to your advantage.

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Online

Computer ScienceKnowledge Representation and ReasoningMachine Learning

The on-line course will give insights in fundamental concepts of machine learning and actionable forecasting using predictive analytics. It will cover the key concepts to extract useful information and knowledge from big data sets for analytical modelling. This course is possible to combine with a full-time employment.

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Online

Computer ScienceData ScienceMachine LearningApplications of AI

This course presents a process for developing AI-based systems in a structured way. You will learn about the phases of AI projects that employ machine learning (ML). In particular, we discuss methods and techniques for AI engineering, i.e. implementing continuous training and continuous delivery of ML-based systems. The lectures explain the life cycle of ML systems, including methods for ML model development, testing, deployment and monitoring. In-class computer demonstrations will provide practical examples of ML model training and deployment. The exercises do not require pre-existing knowledge of machine learning but assume that you have a technical and programming background.

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UmeÄ

SamhÀllet och AISamverkan mellan mÀnniskor och AITillÀmpningar av AI

Under denna kurs introduceras och problematiseras centrala företeelser och begrepp som Àr förbundna med artificiell intelligens (AI). Kursen behandlar en vid syn pÄ AI bÄde som teknik och som en del i utformning av samhÀlleliga verksamheter och processer. Kursen fokuserar AI i historisk, nutida och framtida kontext. SÀrskilt fokus lÀggs vid demokratiska och etiska problem inom AI-omrÄdet.

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UmeÄ

Computer VisionRoboticsMathematics and statisticsComputer ScienceData SciencePlanning and SchedulingKnowledge Representation and ReasoningIntelligent Agents and Multi-agent SystemsNatural Language ProcessingMachine Learning

Part 1, theory, 4.5 credits. The course provides theoretical and methodological knowledge and skills in classical AI (artificial intelligence) and robotics. Topics covered: Heuristics for search. Search for games. Applied predicate logic. Classical planning: heuristics. Knowledge representation. Probability theory: axioms, conditional probability, Bayes’ rule. Bayesian networks. Probabilistic reasoning over time, Hidden Markov Models. Decision trees and learning. Robotics: reinforcement learning, learning from demonstration, hybrid architectures, motion planning, odometry, metric and topological route planning, localization and map generation. Part 2, laboratory, 3 credits. In the laboratory part some of the theories and techniques discussed in the theoretical part are put into practice. This part consists of a series of mandatory laboratory assignments, in part carried out with physical robots or advanced simulators.

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Online

Behandling av naturliga sprÄkDatavetenskapDatorseendeInformationsvetenskapIntelligenta agenter och multiagentsystemKunskapsrepresentation och resonerandeMaskininlÀrningPlanering och schemalÀggning

I denna kurs behandlas designmetoder och olika algoritmer för och varianter av Deep Learning inom klassifiering, prediktion, interaktion och modellering med anvĂ€ndning av olika typer av data; ljud, bild, video, text, sekvenser. Begrepp sĂ„som ÖvertrĂ€ning, Dropouts och Gradienter gĂ„s igenom.   Installation och anvĂ€ndning av hĂ„rd- och mjukvaror för experimenterande med topologier sĂ„som CNN, RNN, LSTM, DQN och tillhörande parametrar samt inspektion av resultatet utgör en vĂ€sentlig del av kursen. Kursen gĂ„r Ă€ven kortfattat igenom Dataanalys, MaskininlĂ€rning, Tensorer, Datorseende, Transfer Learning,  Grunder i Robotik, Reinforcement Learning och metoder med kombinationen Deep Reinforcement Learning. Numeriska implementationer studeras översiktligt. Det Ă€r en tidsmĂ€ssig fördel att ha tillgĂ„ng till lĂ€mpliga berĂ€knings(grafik)kort alternativt ha/fĂ„ tillgĂ„ng till motsvarande molntjĂ€nst. Man kan köra Windows, OS X eller Linux.

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LuleÄ

Machine Learning

This course introduces concepts and methods required to design, train and validate neural networks, and to determine when the use of such models is motivated. The course introduces concepts and methods needed for further studies of advanced neural network topics and implementations for learning machines and neuromorphic systems.

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LuleÄ

Computer VisionIntelligent Agents and Multi-agent SystemsRobotics

After completing the course, the students shall understand, design and program basic functions för touch-free measurement and control of robots.

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Halmstad

SamhÀllet och AISamverkan mellan mÀnniskor och AITillÀmpningar av AI

MĂ„let med kursen Ă€r att deltagarna ska fĂ„ kunskap om principer och metoder för business intelligens inom ramen för ett affĂ€rssystem. Kursen ingĂ„r i Högskolan i Halmstads kurspaket DIGIBUS (hh.se/digibus) dĂ€r du som deltagare kan lĂ€sa hela kurspaketet eller enstaka kurser. Kursen Ă€r för yrkesverksamma och ges pĂ„ distans pĂ„ engelska. AnmĂ€lan Ă€r öppen sĂ„ lĂ€nge det finns möjlighet att bli antagen.   Mer om kursen (pĂ„ engelska) The objective of the course Business Intelligence is that the student should develop knowledge about the principles and methods for business intelligence in the context of a business system. The course also aims to ensure that the student learns how to manage data in a business system to create useful knowledge for an organization, as well as the problems related to these systems. Through the course, the student explores data warehousing and mining in connection with decision-making and AI, and is trained to understand and solve problems associated with storing and managing big data in complex business systems. This competence will allow companies to be more agile and more quickly adapt to the quickly changing situation caused by covid-19.   The course will include an application project where participants perform an analysis of data sourced from their own organization or build a tool that can be directly applied in their work. Recent case studies around covid-19 will also be used. The course is developed for professionals, it is held online and in English.

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Göteborg

Applications of AIComputer ScienceMachine Learning

This course introduces Machine Learning (ML) and its applications in manufacturing. We use real-world case studies to explain how ML works and can be applied in different manufacturing-related problems. In addition to the technical focus of applying ML in manufacturing, the course provides knowledge on prerequisites for generating business value from data-driven decision-making. We illustrate the importance of data pre-processing and structured work procedures in ML projects to secure data quality and successful analyses. The crucial link between data-driven decision-making, competence, and internal/external integration will be highlighted. The exercises are prepared in a way to minimize programming and allow you more time to focus on interpreting the quality of the results.

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Göteborg

Machine LearningApplications of AI

Machine learning is an important subfield of Artificial Intelligence (AI). This course explains what can be done with machine learning and how to use machine learning in chemical engineering. The course provides insight to how calculations are done behind the scene. You learn the topic through a blend of lectures and worked-through examples from the chemical-engineering domain. Lectures illustrate how machine learning is integrated into R&D and production of materials. At the end of the course, you learn how to create predictive models in cases where physiochemical modelling is not feasible. We have selected computer exercises from systems relevant to Chemical Engineers working within research, development, process engineering and production. The exercises are prepared in a way to minimize programming to allow you more time to focus on interpreting the quality of the results.

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Online

Computer VisionMachine Learning

This on-line course will teach you how to build convolutional neural networks. You will learn to design intelligent systems using deep learning for classification, annotation, and object recognition. This course is possible to combine with a full-time employment.

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Halmstad

DatavetenskapInformationsvetenskapMaskininlÀrningTillÀmpningar av AI

Deep neural networks Ă€r den metod som vanligtvis anvĂ€nds vid till exempel bildanalys i sjĂ€lvkörande fordon och robotik. Denna kurs riktar sig till yrkesverksamma med lite erfarenhet inom omrĂ„det, till exempel en grundlĂ€ggande kurs i Machine Learning, som vill lĂ€ra sig mer om Deep Learning. Kursen ingĂ„r i kurspaketet RELIFE (hh.se/relife) dĂ€r du som deltagare kan lĂ€sa hela kurspaketet eller enstaka kurser. Kursen Ă€r för yrkesverksamma och ges pĂ„ distans pĂ„ engelska. AnmĂ€lan Ă€r öppen sĂ„ lĂ€nge det finns möjlighet att bli antagen.   Om kursen (pĂ„ engelska) About the course Applied Deep Learning with Tensorflow. Deep neural networks have taken over as the preferred method in various fields, such as image analysis in autonomous driving and robotics. This course gives professionals with some experience in the area, for example those who have taken a basic Machine Learning course, an opportunity to learn or sharpen their theoretical and practical skills on deep learning methods while working remotely from home.   The course "Applied Deep Learning with Tensorflow" is split into two modules of 2.5 credits each:

  • Theory (8 x 45 min)
  • Practice (8 x 45 min)
The theoretical content covers basic principles of multi-layer perceptrons, spatio-temporal feature extraction with CNNs and RNNs, classification and regression of big data, and producing novel data samples using generative models. The practical sessions cover the basics of programming with tensorflow, image classification, and semantic segmentation using CNNs, future image frame prediction with RNNs and image generation with GANs.   Participants will be encouraged to bring their own data to solve problems they face in their own work. Students without related experience should first take the course Supervised Machine Learning. The course instructors have experience teaching a similar course in our master programme. Guest lecturers will be invited from the company Zenuity to ensure industry relevance. Halmstad University has several high performance computers dedicated to students to apply their deep learning experiments.   This course is for professionals with some experience in the area, for example those who have taken a basic Machine Learning course. The course is held online in English.

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Örebro , kurs

DatavetenskapMaskininlÀrningTillÀmpningar av AI

Örebro universitet erbjuder kursen Autonoma robotar och ROS för dig som yrkesverksam. Utbildningarna leds av det internationellt erkĂ€nda forskningscentret AASS, som ligger i framkant vad gĂ€ller forskning inom artificiell intelligens (AI), robotik och autonoma system Denna kurs ger en omfattande introduktion till olika traditionella och innovativa modeller, algoritmer och ansatser inom artificiell intelligens, mer Ă€n bara maskininlĂ€rning. GrundlĂ€ggande idĂ©er - till exempel för sökning, optimering, planering, resonemang, osĂ€kerhet och Ă€ven maskininlĂ€rning introduceras i videoförelĂ€sningar tillsammans med konceptuella exempel som ska lösas av studenterna. Detta Ă€r en distanskurs med tre obligatoriska fysiska halvdagstrĂ€ffar pĂ„ Örebro universitet inklusive tvĂ„ seminarier. Under det första seminariet kommer studenterna att presentera ett arbete / uppsats vald frĂ„n en aktuell litteraturlista sammanstĂ€lld av lĂ€rarna. LĂ€mpliga AI-lösningar för de problem som intresserar studenterna stĂ„r i fokus vid det andra seminariet.

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Natural Language Processing

Language technology is an interdisciplinary field that encompasses all the development of computer programs to analyze and generate human language, such as Swedish or English, and also modeling and simulation of human linguistic behavior using computers. The course addresses the possibilities and limitations of language technology with a focus on the language technology tools that are close to the research and are relevant for future work with, for example, design and implementation of information systems or requirements in procurement.

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Göteborg

Behandling av naturliga sprÄkDatavetenskap

Master in Language Technology (One year or Two years) is for students who want to make computers use and understand human language.

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Göteborg

Datavetenskap

Software engineers and software managers will have a key role in all aspects of society, from using AI to provide customer service and even financial advice, to developing self-driving cars, to creating apps in the health and biotech sphere. We are among the largest software engineering groups in the world, and our researchers have worldwide impact. Our programme gives you the opportunity to complete collaborative projects, work with partners in industry, and participate in hackathons, gaining the skills necessary to improve the world with software.

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Göteborg

DatavetenskapMatematik och statistik

Data Science is concerned with extracting meaning from large volumes of data. It is a field that has grown rapidly in recent years as a result of the increasing availability of large data sets, and the opportunities and challenges that these present. Central topics within Data Science include data mining, machine learning, databases, and the application of data science methods in natural sciences, life sciences, business, humanities and social sciences, as well as in industry and society.

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Göteborg , program

TillÀmpningar av AI

Kognitionsvetenskap Àr ett tvÀrvetenskapligt Àmne dÀr du studerar hur mÀnniskor, andra biologiska varelser och smarta maskiner bearbetar och anvÀnder information. PÄ Göteborgs universitet fÄr du en bred utbildning i Àmnet grundad i omrÄden som filosofi, psykologi, sprÄk och kommunikation, neurovetenskap samt datavetenskap och informationsteknologi (IT). Du lÀr dig hur mÀnniskor bearbetar och kommunicerar information likvÀl som hur samspelet mellan mÀnniskor och IT fungerar.

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Online

DatavetenskapDatorseendeMaskininlÀrningSamhÀllet och AISamverkan mellan mÀnniskor och AITillÀmpningar av AI

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UmeÄ

Planning and SchedulingKnowledge Representation and Reasoning

The Master’s programme in Artificial Intelligence at UmeĂ„ University gives broad knowledge in AI and deepened knowledge in profile areas such as theoretical foundations of artificial intelligence, human-AI interaction, intelligent robotics, machine learning or data science.

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Örebro , kurs

MaskininlÀrning

För att ett system automatiskt ska kunna kĂ€nna igen ett ansikte, avgöra den optimala tidpunkten för maskinunderhĂ„ll, sortera textdokument, ha fungerande taligenkĂ€nning, kĂ€nna igen handskrivna tecken, urskilja mönster i stora datamĂ€ngder – till exempel att identifiera kundgrupper eller olika beteenden – krĂ€vs förmĂ„gor som Ă€r svĂ„ra att programmera explicit. I den hĂ€r kursen fĂ„r du lĂ€ra dig grunderna i hur ett system kan lĂ€ra sig dessa förmĂ„gor utifrĂ„n datamĂ€ngder istĂ€llet för att blir programmerade. HĂ€r ingĂ„r de vanligaste algoritmerna för övervakad och oövervakad inlĂ€rning, sĂ„som artificiella neurala nĂ€tverk, beslutstrĂ€d och k-medelvĂ€rdeskluster, vilka ocksĂ„ utgör grunden för att förstĂ„ och diskutera de senaste teknikerna inom maskininlĂ€rning sĂ„som djupinlĂ€rning. Kursen riktar sig till dig som Ă€r yrkesverksam. Kursen har tre obligatoriska halvdagstrĂ€ffar.

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Örebro , kurs

Datorseende

Mixed reality, eller blandad verklighet som det ocksĂ„ kallas, föddes i det ögonblick som mĂ€nniskan började anvĂ€nda sin fantasi. PĂ„hittade ting, karaktĂ€rer, berĂ€ttelser och hela vĂ€rldar spreds genom konst och litteratur. Över tid har mĂ€nniskans framsteg banat vĂ€g för nya kreativa former – och att lĂ„ta sig omges av en virtuell verklighet Ă€r en av dem. Att kunna blanda den riktiga vĂ€rlden med en virtuell verklighet har alltid varit lockande, men det Ă€r inte förrĂ€n helt nyligen som det blivit möjligt tack vare den tekniska utvecklingen. Spel som Pokemon Go har skapat ett intresse för mixed reality, inte bara inom underhĂ„llnings- och nöjesbranschen, utan Ă€ven inom olika tillĂ€mpningsomrĂ„den i industrin. Den hĂ€r kursen tittar nĂ€rmare pĂ„ mĂ€nsklig interaktion med mixed reality som fenomen. Vi studerar olika aspekter av hur vi upplever mixed reality, utifrĂ„n faktorer som pĂ„verkar inlevelse och hur pass verklighetstrogen miljöerna Ă€r. Vi diskuterar hur mĂ€nniskor agerar nĂ€r de omsluts av en virtuell verklighet eller anvĂ€nder tekniken för att med hjĂ€lp av fjĂ€rrstyrning utföra vissa arbetsuppgifter . Vi tittar ocksĂ„ pĂ„ vilka metoder som kan anvĂ€ndas för att skapa effektiva interaktionsscenarion och för att mĂ€ta kvaliteten pĂ„ interaktionen med hjĂ€lp av bĂ„de kvalitativa och kvantitativa verktyg. Kursen riktar sig till dig som Ă€r yrkesverksam. Kursen har tre obligatoriska halvdagstrĂ€ffar.

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Örebro , kurs

MaskininlÀrning

FörstÀrkningslÀrande (Reinforcement learning - RL) Àr en metod för att lÀra sig att fatta ett optimalt beslut genom försök och misstag. MÄlet med RL Àr att uppnÄ en optimal policy för varje tillstÄnd i ett system. Kursen tÀcker den underliggande formalismen hos RL som kallas Markovska beslutsprocesser och grundlÀggande RL-algoritmer. Exempel Àr dynamisk programmering. Vi kommer att visa hur man modellerar ett problem som en Markovska-beslutsprocess och implementerar grundlÀggande RL-algoritmer för att lösa dem. Dessutom kommer vi att utforska olika sÀtt att jÀmföra och utvÀrdera prestanda för inlÀrningsmetoder. Kursen riktar sig till dig som Àr yrkesverksam. Kursen har tre obligatoriska halvdagstrÀffar.

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Online

Machine Learning

The rapid development of digital technologies and advances in communications have led to gigantic amounts of data with complex structures called ‘Big Data’ being produced every day at exponential growth. The aim of this course is to give the student insights in fundamental concepts of Machine Learning with Big Data as well as recent research trends in the domain. The student will learn about problems and industrial challenges through domain-based case studies. Furthermore, the student will learn to use tools to develop systems using machine-learning algorithms in big data. This course is possible to combine with a full-time employment.

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Online

Machine Learning

Today, the explosion of data has created new opportunities to apply machine learning (ML). Handling of the large amounts of data created by the very rapid digitization would not be possible without Machine Learning (ML). The purpose of the course "Introduction to Machine Learning" is to give you the foundation for ML. You will get an introduction to the basic areas of ML: data, statistics and probability for ML.

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UmeÄ

Computer VisionRoboticsComputer ScienceData SciencePlanning and SchedulingKnowledge Representation and ReasoningIntelligent Agents and Multi-agent SystemsNatural Language ProcessingMachine Learning

The course provides a basic introduction to classical AI (artificial intelligence) as well as non-classical AI. It addresses fundamental conditions, problems and challenges for AI also from a philosophical perspective.

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LuleÄ

Computer ScienceData ScienceMachine Learning

The course is set out to provide knowledge to address data science problems. It focuses on machine learning techniques such as decisions trees and logistic regression, Expectation Maximization, Support Vector Machines, Markov and Bayesian networks.

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Online

Data ScienceKnowledge Representation and ReasoningMachine LearningApplications of AI

This course gives a basic overview of Artificial Intelligence (AI) and its applications. Specifically, it provides basic knowledge of machine learning and deep learning algorithms, robotics, reasoning, medical neuroscience, psychology, cognition, as well as design skills to structure experiments.

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Online

DatavetenskapInformationsvetenskapTillÀmpningar av AI

Analys av sĂ„ kallad Big Data Ă€r en integrerad del av informationsdrivna branscher för modellering, simulering och strategisk hantering som stöd till digitalisering genom att anvĂ€nda vĂ€rdefull information frĂ„n data. Kursen ingĂ„r i kurspaketet RELIFE (hh.se/relife) dĂ€r du som deltagare kan lĂ€sa hela kurspaketet eller enstaka kurser. Kursen Ă€r för yrkesverksamma och ges pĂ„ distans pĂ„ engelska. AnmĂ€lan Ă€r öppen sĂ„ lĂ€nge det finns möjlighet att bli antagen.   Om kursen (pĂ„ engelska) About the course Applied Data Mining and Data Science: Big data analysis is an integral part of the information-driven industries for modeling, simulation, and strategic management, which supports digitalization by deriving valuable information from data. The course goal of "Applied Data Mining and Data Science" is to teach how knowledge can be discovered in complicated contexts through data mining techniques. The course is split into two modules of 2.5 credits:  

  • Introduction, data preprocessing and data visualization (6 x 45 minutes, 3 lectures which includes 2 lab sessions)
  • Supervised and Unsupervised learning (6 x 45 minutes, 3 lectures which includes a lab at the end of each session)
Guest lecturers will be included from Volvo to ensure industry relevance. The course material overlaps somewhat with the course Supervised Machine Learning. Lectures will be delivered weekly using Zoom, along with hands-on lab assignments. The course instructors teach a similar course in our master programmes. This course is for professionals. Participants need a basic knowledge of Python programming. The course is held online in English.

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Online

Machine Learning

The course aims to provide knowledge and skills in modern techniques and tools for machine learning, to create an understanding of its uses, strengths, and weaknesses. All in order to then apply these skills in a real world application. This course is taught fully on distance and is adapted for working professionals.

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Online

Computer ScienceData ScienceMachine LearningApplications of AI

This course provides a broad introduction to Machine Learning (ML). Students will learn about standard supervised ML techniques for regression and classification as well as best practices in ML, and gain practice implementing ML algorithms in Python. The course "Supervised Machine Learning" is broken down into three modules of 2.5 credits each:

  • Introduction to regression and classification (8 x 45 min)
  • Overfitting and generalization (8 x 45 min)
  • Neural networks (10 x 45 min)

  • Each of the lectures delivered through Zoom is followed by practical lab assignments in Python, provided as a Jupyter notebook, which allows the participants to dig into the concepts presented in the lecture and put them to practice. Exams consist of the practical lab assignments, as well as a test that will be conducted online on Blackboard at the end of each module. The course instructors teach a similar course in our master’s programmes.

    This course is for professionals with an undergraduate degree in engineering (or similar). Prerequisites include knowledge in Python programming, as well as very basic linear algebra. This course is for people who have not had basic Machine Learning and AI in their undergraduate degree. The course is held online in English. Pace: 50%, flexible.

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    Online

    MaskininlÀrningTillÀmpningar av AI

    Join our webinar AI – Under the Hood of Machine Learning designed for you who want to understand the magic. The webinar will give you a basic understanding of AI core concepts and the ability to ask the right questions when involved in AI initiatives within your company. The concepts of Machine Learning and Neural Networks will be in focus, as these concepts deliver great value today.

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    Online

    SamhÀllet och AI

    Artificial intelligence (AI) can be used to help improve the health of people and ecosystems, reduce urban pollution, spot oil spills at sea and desertification of land, as well as to enhance education systems. However, AI can also increase the gap between the rich and the poor, and the bias of the algorithms may enhance existing injustices towards minorities. Welcome to learn more about Artificial Intelligence and the SDGs at this event organized by KTH Royal Institute of Technology, AI Sustainability Center and MIT.

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    Online

    SamhÀllet och AISamverkan mellan mÀnniskor och AITillÀmpningar av AI

    Close Read more at LUNDS UNIVERSITY

    Online

    SamhÀllet och AISamverkan mellan mÀnniskor och AITillÀmpningar av AI

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    Online

    DatorseendeMaskininlÀrningMatematik och statistikTillÀmpningar av AI

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    Halmstad

    DatavetenskapInformationsvetenskapMaskininlÀrning

    Python Ă€r ett programmeringssprĂ„k som ofta anvĂ€nds i skolundervisning och för tillĂ€mpningar av Machine Learning och Big Data. Kursen ingĂ„r i Högskolan i Halmstads kurspaket RELIFE (hh.se/relife) dĂ€r du som deltagare kan lĂ€sa hela kurspaketet eller enstaka kurser. Kursen Ă€r för yrkesverksamma och ges pĂ„ distans pĂ„ engelska. AnmĂ€lan Ă€r öppen sĂ„ lĂ€nge det finns möjlighet att bli antagen.   Om kursen (pĂ„ engelska) About the course Python – a Gateway to Machine Learning: Python is a programming language that has become widely adopted by schools to teach programming skills, and also by the AI community for Machine Learning and Big Data applications. The course "Python – a Gateway to Machine Learning" aims to open doors, allowing study and work in a variety of digitalisation contexts, such as AI. The course is broken down into two modules of 2.5 credits:

    • Introduction to programming with Python
    • Programming cloud applications with big data
      The first module will be inclusive and allow students from various backgrounds to establish a strong foundation, introducing the Jupyter development system, libraries for tabulated data and strings, object-oriented programming, and algorithms. The second module will focus on Halmstad University's strength in AI, introducing distributed file systems, the map-reduce framework, and the dataflow framework. The material is presented so that participants can read, watch recordings and go through interactive documents where they can experiment and do exercises. The course instructors have experience with teaching similar courses in our campus master programmes. This course is for professionals with an undergraduate degree in engineering (or similar) and experience with programming but not specific skills with Python. The course is held online in English.

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    Halmstad

    DatavetenskapInformationsvetenskapTillÀmpningar av AI

    CybersĂ€kerhet blir allt viktigare för företag och organisationer, sĂ€rskilt med tanke pĂ„ den ökade mĂ€ngden distansarbete som kan innebĂ€ra sĂ€kerhetsproblem kopplat till integritet, tillgĂ€nglighet och sekretess. Kursen ingĂ„r i Högskolan i Halmstads kurspaket RELIFE (hh.se/relife) dĂ€r du som deltagare kan lĂ€sa hela kurspaketet eller enstaka kurser. Kursen Ă€r för yrkesverksamma och ges pĂ„ distans pĂ„ engelska. AnmĂ€lan Ă€r öppen sĂ„ lĂ€nge det finns möjlighet att bli antagen.   Om kursen (in English) About the course Cybersecurity Issues of Distributed Work Places: Cybersecurity is a critical topic, especially since distributed and remote operations have raised many security concerns about maintaining the integrity, availability, and confidentiality of enterprises' assets.? The course "Cybersecurity Issues of Distributed Work Places" aims to improve user awareness of security issues pertaining to data, communications, and hardware platforms. In particular to the coronavirus, this course will consider the potential threats that employees can face due to being directed to work from home. The course is broken down into three modules of 2.5 credits each:  

    • Introduction to Cybersecurity (8 x 45 min)
    • Cyber-attacks (8 x 45 min)
    • Introduction to hardware security (10 x 45 minutes)
      The course instructors are experts in the fields of hardware and cybersecurity. Guest lecturers will be included from the companies HMS Industrial Networks and AppGate Inc to ensure industry relevance. This course is for professionals and requires a basic computer systems background included in an engineering undergraduate degree. The course is held online in English.

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    Halmstad

    DatavetenskapInformationsvetenskapSamhÀllet och AISamverkan mellan mÀnniskor och AITillÀmpningar av AI

    Kursen ger en allmĂ€n kunskap pĂ„ hög nivĂ„ om AI, maskininlĂ€rning och datavetenskap till chefer och ledare. Kursen ingĂ„r i kurspaketet DIGIBUS (hh.se/digibus) dĂ€r du som deltagare kan lĂ€sa hela kurspaketet eller enstaka kurser. Kursen Ă€r för yrkesverksamma och ges pĂ„ distans pĂ„ engelska. AnmĂ€lan Ă€r öppen sĂ„ lĂ€nge det finns möjlighet att bli antagen.   Om kursen (pĂ„ svenska) The course AI for executives (AI för chefer) is designed to provide general high-level knowledge in a motivational format on AI, Machine Learning, and Data Science to executives and top-level managers. The participants will learn how AI can be a game-changer for them in this crisis. They will also learn the primary steps to move forward from a traditional company to an AI-based company.   In this course the content of a more technical course in AI is reformulated into a slightly less technical vocabulary and closely coupled to business applications and examples. The course is developed for professionals, it is held online and in English.

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    Online

    SamhÀllet och AISamverkan mellan mÀnniskor och AI

    Autonomous systems can make their own decisions but cannot take responsibility and thus not be accountable for their decisions. It is however also crucial to discuss the question of responsibility in a more forward-looking sense. It is also critical to reflect on how our decisions today lead the development in a certain direction that may be difficult to change later. In this project we study the question of who should do what, and when, to make sure that things do not go wrong (forward-looking responsibility), and consider how different distributions of forward-looking responsibility today between law-makers, industry, developers, consumers etc.) will affect the long-term development of AI concern democracy, AI development, and AI safety. Speakers:  Maria Hedlund, Department of Political Science, Lund University and Erik Persson, Practical Philosophy, Lund University Please register at: http://ai.lu.se/events/registration-2020-06-17 in order to get a link for online participation via the Zoom platform.   The Corona crisis prevents physical meetings and discussions, but in order to continue dialogue and joint learning, we now offer a series of online lunch seminars. Together we watch one or more presentations from previous AI Lund events for 20-30 minutes. Then an expert, often the original speaker, are there to answer questions for 10-15 minutes. You can also ask questions in the text chat during the video. The presentations can be in Swedish or English, and you can ask questions in both languages. On June 17 we watch the presentation that Maria Hedlund and Erik Persson gave at the AI Lund Fika-to-fika-workshop: AI, Social Science and Research in EU 16 october 2020

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    SamhÀllet och AISamverkan mellan mÀnniskor och AI

    The question of how technology changes the labor market has been studied often in the context of manufacturing vs creative job. An interesting thought experiment is to discuss whether more advanced AI algorithms introduced in the public sector can make politicians superfluous. This presentation will discuss the question both theoretically and anchored in empirical examples. Speaker: Anamaria Dutceac Segesten, Senior lecturer at Centre for European Studies, Lund University Please register at: http://ai.lu.se/events/registration-2020-06-10 in order to get a link for online participation via the Zoom platform.   The Corona crisis prevents physical meetings and discussions, but in order to continue dialogue and joint learning, we now offer a series of online lunch seminars. Together we watch one or more presentations from previous AI Lund events for 20-30 minutes. Then an expert, often the original speaker, are there to answer questions for 10-15 minutes. You can also ask questions in the text chat during the video. The presentations can be in Swedish or English, and you can ask questions in both languages. On June 10 we watch the presentation that senior lecturer Anamaria Dutceac Segesten gave during the Lund University annual future week 14 October 2019.

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    SamhÀllet och AISamverkan mellan mÀnniskor och AITillÀmpningar av AI

    Jonas Ledendal presenterar resultat frĂ„n tvĂ„ forsknings- och innovationsprojekt om datahantering och AI. Mer om Sjyst Data! Talare och expert:  Jonas Ledendal Juridisk doktor och rĂ€ttsvetenskaplig forskare vid Institutionen för handelsrĂ€tt vid Lunds universitet VĂ€nligen anmĂ€l dig pĂ„: http://ai.lu.se/events/registration-2020-05-27 sĂ„ fĂ„r du en anslutningslĂ€nk till seminariet i plattformen Zoom   Coronakrisen förhindrar de fysiska mötena och diskussioner som hittills varit en central del av AI Lunds utĂ„triktade verksamhet. Men för att fortsĂ€tta dialogen och det gemensamam lĂ€randet arrangerar vi nu en serie nĂ€tbaserade lunchseminarier. Inledningsvis tittar vi pĂ„ en eller flera presentationer frĂ„n tidigare AI Lund-evenemang under totalt en halvtimme. Efter det har vi med en expert, ofta presentatören sjĂ€lv, dĂ€r för att svara pĂ„ frĂ„gor i 10-15 minuter. Du kan ocksĂ„ stĂ€lla frĂ„gor i text-chatten. Presentationerna kan vara pĂ„ svenska eller engelska, men du kan stĂ€lla frĂ„gor pĂ„ bĂ„da sprĂ„ken. Den 27 maj titta vi tillsammans pĂ„ presentationen som Jonas Ledendal höll den 29 januari, 2020 at AI Lund's fika-till-fika workshop om AI i offentlig sektor. Titel: Sjyst data i offentlig sektor - rĂ€ttsliga nyckelomrĂ„den      

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    Göteborg

    Human-AI InteractionSocietal Aspects of AI

    The course consists of a learning build-up session and two half-day workshops with on-line lectures in between. The lecturer will guide you how to develop ethical policies for AI. By the end of the course you will have developed an ethical policy in connection to your work.

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    Online

    MaskininlÀrningMatematik och statistik

    Humans as well as other animals are curious beings that develop cognitive skills on their own without the need for external goals or supervision. Inspired by this, how can we encourage AIs to learn and solve tasks by themselves? This talk presents the fascinating area of intrinsic reward in the context of reinforcement learning by showcasing recent articles and result. Please register at: http://ai.lu.se/events/registration-2020-05-20 in order to get a link for online participation via the Zoom platform. Speaker: Erik GĂ€rtner, WASP PhD student at the Centre for Mathematical Sciences, Lund University   The Corona crisis prevents physical meetings and discussions, but in order to continue dialogue and joint learning, we now try a series of online lunch seminars. Together we watch one or more presentations from previous AI Lund events for 20-30 minutes. Then an expert, often the original speaker, is there to answer questions for 10-15 minutes. You can also ask questions in the text chat during the video. The presentations can be in Swedish or English, and you can ask questions in both languages.On May 20, we watch the presentation that WASP PhD Student Erik GĂ€rtner gave on September 30, 2019 at AI Lund's fika-till-fika workshop on AI & ML Technologies. Title: Intrinsic Motivation - Curiosity and learning for the sake of learning    

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    Online

    MaskininlÀrningTillÀmpningar av AI

    Join our Live Online seminar AI – Under the Hood of Machine Learning designed for you who wants to understand the magic. You will be able to understand the core concepts, ask the right questions to be involved in the AI initiatives within your company. The concepts of Machine Learning and Neural Networks will be in focus, as these are core concepts where AI delivers great value today.

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    Online

    DatavetenskapInformationsvetenskap

    Things such as organizations, persons, or locations are all around us, particularly in the news, forum posts, facebook updates, and tweets. With named things, we can introduce background in news articles, summarize articles, build question-answering systems, and much more.  However, it is challenging to find and link them, as they often may be ambiguous. In this work, we aim to enrich the knowledge graph Wikidata with new relations and things only found in the articles of multilingual Wikipedia. The long term goal is the development of a multilingual system that can answer any natural question and improve how we find new relevant information. Speaker: Dr Marcus Klang, Department of Computer Science, Lund University The Corona crisis prevents physical meetings and discussions, but in order to continue dialogue and joint learning, we now offer a series of online lunch seminars. Together we watch one or more presentations from previous AI Lund events for 20-30 minutes. Then an expert, often the original speaker, are there to answer questions for 10-15 minutes. You can also ask questions in the text chat during the video. The presentations can be in Swedish or English, and you can ask questions in both languages. On May 13 we watch the presentation that Dr Marcus Klang gave at the AI Lund fika-to-fika workshop on AI Technologies 30 August 2019. Title: Finding Things in Strings

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    Online

    Machine Learning

    Machine learning (ML) plays an important role in problem solving. ML models are used in many application scenarios such as prediction, image and speech recognition and medical diagnoses. Since every problem is unique, there is not one model/solution that fits all. It is up to the user to balance trade-offs and to identify the models that suit the problem at hand.

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    Göteborg

    Applications of AIMathematics and statisticsComputer ScienceData ScienceMachine Learning

    In this course you will discover how computer science, mathematics and statistics can be combined to solve business problems through a hands on introduction to data science and artificial intelligence (AI). The lectures and exercises will guide you through the different areas of such as early AI, basic and advanced computing through to data-driven AI and Machine Learning. After completing the course you will be able to choose and combine these different methods to solve business problems.

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    Lund , kurs

    SamhÀllet och AISamverkan mellan mÀnniskor och AI

    Detta Àr en studiecirkel som riktar sig till dig som vill förstÄ AI och ny maskininlÀrningsteknik i ett större samhÀlleligt perspektiv. Vi höjer blicken och ser pÄ AI i ett större perspektiv, och vi fördjupar oss ocksÄ i frÄgor som kan ge större förstÄelse för teknikens betydelse. Vi kommer vid 5 tillfÀllen ses för att med utgÄngspunkt i aktuell kulturvetenskaplig forskning skapa kunskap om de utmaningar, möjligheter och potentiella förÀndringar som stÄr för dörren. Vi kommer att tillsammans försöka förstÄ inte bara tekniska utan ocksÄ sociala och organisatoriska utmaningar. Mer information kommer inom kort. För intresseanmÀlan vÀnligen kontakta: susanne.norrman@fsi.lu.se

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    Örebro

    Robotik

    Örebro universitet erbjuder kursen Autonoma robotar och ROS för dig som yrkesverksam. Utbildningarna leds av det internationellt erkĂ€nda forskningscentret AASS, som ligger i framkant vad gĂ€ller forskning inom artificiell intelligens (AI), robotik och autonoma system ROS (Robot Operating System) Ă€r en uppsĂ€ttning av mjukvarukomponenter som ofta anvĂ€nds i forskning inom autonoma system. Kortfattat sĂ„ hanterar ROS kommunikation mellan olika plattformar, sensorer och stĂ€lldon samt visualisering, simulering och loggning av data. I ROS Ă€r det Ă€ven lĂ€tt att dela med sig av egna metoder och algoritmer vilket har gjort att det finns en större mĂ€ngd forskningsresultat implementerat vilka kan anvĂ€ndas direkt. ROS har Ă€ven börjat anvĂ€ndas inom industrin, frĂ€mst inom R&D. Denna kurs ger dig möjlighet att anvĂ€nda och tillĂ€mpa ROS inom ett omrĂ„de du önskar. Kursen har tre obligatoriska halvdagstrĂ€ffar pĂ„ Örebro universitet.

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    Örebro , kurs

    Planering och schemalÀggningRobotik

    Det som Ă€r lovande med intelligenta robotsystem Ă€r att de kan utföra fler uppgifter och mer effektivt Ă€n en enda industriell robotlösning. Intelligenta robotar agerar kompetent eftersom de kan planera, ordna och genomföra de Ă„tgĂ€rder som Ă€r lĂ€mpliga i det sammanhang dĂ€r de befinner sig. För att uppnĂ„ denna kapacitet anvĂ€nder intelligenta robotar sökmetoder frĂ„n artificiell intelligens. Dessa Ă€r generella algoritmer för att lösa kombinatoriska problem, dvs de utgör en robots "förmĂ„ga att resonera". Denna kurs introducerar de viktigaste typerna av AI-sökmetoder, samt deras anvĂ€ndningar- inom tre industriellt relevanta tillĂ€mpningsomrĂ„den, nĂ€mligen resursplanering, rörelseplanering och samordning av flera robotar. Kursen har tre obligatoriska halvdagstrĂ€ffar pĂ„ Örebro universitet. Kursen riktar sig till dig som Ă€r yrkesverksam.

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    Göteborg

    DatavetenskapMaskininlÀrningMatematik och statistik

    Kursen avser att ge en god förstÄelse för detta tvÀrvetenskapliga omrÄde, med tillrÀckligt djup för att anvÀnda och utvÀrdera tillgÀngliga metoder, och för att kunna följa aktuell vetenskaplig litteratur inom omrÄdet. Under kursens gÄng kan vi diskutera eventuella problem med maskininlÀrningsmetoder, till exempel bias i trÀningsdata och sÀkerhet för autonoma agenter.

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    Applications of AI

    Applications in artificial intelligence can be found at all levels in today's society. The course gives an introduction which explore the field of artificial intelligence from an applied perspective, where a lot of programming can be expected of the course participants. Examples of keywords from the course are, search strategies, machine learning, intelligent agents, AI game technologies, decision algorithms, and natural language processing  

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    Göteborg

    Applications of AI

    Welcome to apply for a Master Class Series in Artificial Intelligence (AI) and Design. Apply by sending your CV and a motivation letter by March 2nd. The research centre Business and Design Lab (BDL) organize a master class series investigating the intersection between Artificial Intelligence and Design. It will be organized into four master classes, during evening time the 17, and 24 March and 15 and 28 April at HDK-Valand in Gothenburg.

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    Örebro

    Intelligenta agenter och multiagentsystemMaskininlÀrningPlanering och schemalÀggningTillÀmpningar av AI

    Örebro universitet erbjuder kursen Autonoma robotar och ROS för dig som yrkesverksam. Utbildningarna leds av det internationellt erkĂ€nda forskningscentret AASS, som ligger i framkant vad gĂ€ller forskning inom artificiell intelligens (AI), robotik och autonoma system Denna kurs ger en omfattande introduktion till olika traditionella och innovativa modeller, algoritmer och ansatser inom artificiell intelligens, mer Ă€n bara maskininlĂ€rning. GrundlĂ€ggande idĂ©er - till exempel för sökning, optimering, planering, resonemang, osĂ€kerhet och Ă€ven maskininlĂ€rning introduceras i videoförelĂ€sningar tillsammans med konceptuella exempel som ska lösas av studenterna. Detta Ă€r en distanskurs med tre obligatoriska fysiska halvdagstrĂ€ffar pĂ„ Örebro universitet inklusive tvĂ„ seminarier. Under det första seminariet kommer studenterna att presentera ett arbete / uppsats vald frĂ„n en aktuell litteraturlista sammanstĂ€lld av lĂ€rarna. LĂ€mpliga AI-lösningar för de problem som intresserar studenterna stĂ„r i fokus vid det andra seminariet.

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    Lund

    SamhÀllet och AISamverkan mellan mÀnniskor och AITillÀmpningar av AI

    Var befinner sig den offentliga sektorn nĂ€r det gĂ€ller artificiell intelligens? Hur kan vi förstĂ„ bĂ„de utmaningar och möjligheter pĂ„ bĂ„de kommunal som nationell nivĂ„? FrĂ„gorna Ă€r mĂ„nga. PĂ„ dagen ett Ă„r efter workshopen om AI i offentlig sektor – frĂ„n ax till limpa bjuder vi in experterna med nĂ„gra av svaren.

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    Göteborg

    Datavetenskap

    Artificiell intelligens (AI) studerar hur datorer kan utföra uppgifter som traditionellt har ansetts krĂ€va mĂ€nsklig intelligens. Kursen ger en introduktion till Ă€mnet och har tvĂ„ huvudsyften. Det ena syftet Ă€r att ge en förstĂ„else för vilka delomrĂ„den som finns inom AI, deras historiska utveckling, och vilka etiska problemstĂ€llningar som kan uppkomma inom olika delomrĂ„den. Detta görs genom att lĂ€sa litteratur inom olika AI-omrĂ„den, att sammanfatta och diskutera litteraturen skriftligt, och att granska uppsatser av andra studenter. Det andra syftet Ă€r att lĂ€ra ut grundlĂ€ggande begrepp och algoritmer för heuristisk (informerad) sökning, planering och problemlösning, inklusive deras anvĂ€ndningsomrĂ„den, samt hur de kan anvĂ€ndas för att lösa intressanta AI-problem.  

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    Göteborg

    DatavetenskapMaskininlÀrning

    Artificiell intelligens (AI) studerar hur datorer kan utföra uppgifter som traditionellt har ansetts krÀva mÀnsklig intelligens. Kursen ger en introduktion till Àmnet och har tvÄ huvudsyften. Det ena syftet Àr att ge en förstÄelse för vilka delomrÄden som finns inom AI, deras historiska utveckling, och vilka etiska problemstÀllningar som kan uppkomma inom olika delomrÄden. Detta görs genom att lÀsa litteratur inom olika AI-omrÄden, att sammanfatta och diskutera litteraturen skriftligt, och att granska uppsatser av andra studenter. Det andra syftet Àr att lÀra ut grundlÀggande begrepp och algoritmer för heuristisk (informerad) sökning, planering och problemlösning, inklusive deras anvÀndningsomrÄden, samt hur de kan anvÀndas för att lösa intressanta AI-problem.

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    Göteborg

    DatavetenskapMaskininlÀrning

    Kursen ger en introduktion till maskininlÀrning med hjÀlp av artificiella neurala nÀtverk (ANN). Fokus Àr pÄ praktiska övningar och konkreta exempel för att ge bÄde en översiktlig förstÄelse för ANN och fÀrdigheter i att anvÀnda etablerad mjukvara för dessa (Python, Tensorflow, Keras).

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    Göteborg

    Computer ScienceMachine Learning

    The course gives an introduction to machine learning techniques and theory, with a focus on its use in practical applications. During the course, a selection of topics will be covered in supervised learning, such as linear models for regression and classification, or nonlinear models such as neural networks, and in unsupervised learning such as clustering. The use cases and limitations of these algorithms will be discussed, and their implementation will be investigated in programming assignments. Methodological questions pertaining to the evaluation of machine learning systems will also be discussed, as well as some of the ethical questions that can arise when applying machine learning technologies. There will be a strong emphasis on the real-world context in which machine learning systems are used. The use of machine learning components in practical applications will be exemplified, and realistic scenarios will be studied in application areas such as ecommerce, business intelligence, natural language processing, image processing, and bioinformatics. The importance of the design and selection of features, and their reliability, will be discussed.

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    Örebro

    SamhÀllet och AISamverkan mellan mÀnniskor och AITillÀmpningar av AI

    Det hÀr fyra timmar lÄnga seminariet ger en introduktion till artificiell intelligens. Under den första timmen behandlar vi de grundlÀggande byggstenarna i AI och förklarar hur de senaste algoritmerna fungerar. Den andra timmen Àgnar vi Ät att beskriva vilka förutsÀttningarna som krÀvs för att integrera AI pÄ arbetsplatsen. Vi kommer att gÄ igenom fördelarna och möjliga fallgropar med att anvÀnda AI pÄ olika typer av anvÀndningsomrÄden. De tvÄ sista timmarna Àgnar vi Ät dels att förklara relevanta begrepp för beslutsfattare som vill anamma och anvÀnda AI, dels att titta pÄ de hÀr aspekterna ur ett globalt perspektiv. Det krÀvs ingen tidigare erfarenhet eller kunskap om AI för att delta pÄ seminariet. FörelÀsningen hÄlls pÄ engelska men diskussionerna Àr pÄ svenska.

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    Online

    DatavetenskapMaskininlÀrningPlanering och schemalÀggningTillÀmpningar av AI

    I denna kurs erbjuder LinnĂ©universitetet i samarbete med Örebro universitet en gedigen introduktion till olika traditionella och innovativa modeller, algoritmer och ansatser inom artificiell intelligens. GrundlĂ€ggande idĂ©er – till exempel för sökning, optimering, planering, resonemang, osĂ€kerhet och Ă€ven maskininlĂ€rning introduceras i förelĂ€sningar tillsammans med konceptuella exempel som ska lösas av kursdeltagarna.

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    Lund

    SamhÀllet och AISamverkan mellan mÀnniskor och AI

    The European Union has taken the stance that AI should be trustworthy and developed in a human-centric way with the goal of improving individual and societal well-being. This talk will present the European approach to trustworthy human-centric AI and some research challenges related to it. To be trustworthy an AI-system should be lawful, ethical and robust, as defined by the European Commission High-Level Expert Group on AI. To operationalize these is a major challenge and will require new research. The second part of the talk gives an overview of the state-of-the-art and potential future solutions to these challenges.

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    Lund

    Behandling av naturliga sprÄkTillÀmpningar av AI

    In medicine and life sciences we are overloaded with different forms of text and speech. Texts in the form of electronic health records, genomic sequences, scientific articles, twitter feeds or patient questionnaires can be analysed to gain new scientific insights. Speech technology can be used in health apps and chatbots, to extract information from doctor-patient-dialogues or to direct medical robots. This workshop will cover the different application areas of language technology in medicine and life sciences as well as the methods used in this exciting and broad field.

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    Lund

    MaskininlÀrningSamhÀllet och AISamverkan mellan mÀnniskor och AI

    Do you want to decode AI and identify key viable knowledge concerning AI for managers together with Lund University and The ESS? Whether completely, partly or prospectively immersed in this technology, join us for a full day designed for managers who are concerned with the development, implementation and/or other types of uses of AI and Machine Learning from a business standpoint.

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    Lund

    Datorseende

    Welcome to this course open both to PhD-students (free) as well as to professionals (fee). The aim of the course is to give necessary knowledge of digital image analysis for further research within the area and to be able to use digital image analysis within other research areas such as computer graphics, image coding, video coding and industrial image processing problems.

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    Göteborg

    DatorseendeTillÀmpningar av AI

    Kursen ger en överblick av teorier och praktiskt komputationella implementationer av hur naturligt sprÄk samverkar med vÀrlden. I kursen avhandlas omrÄden som semantisk teori för naturligt sprÄk, handling och perception, situerad dialog, situerad sprÄkinlÀrning, koppling av sprÄk i handling och perception, spatial kognition, bildgenerering och -tolkning, integrerade robotdialogsystem och dyl.

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    Online

    DatavetenskapDatorseendeMaskininlÀrning

    I denna kurs behandlas designmetoder och olika algoritmer för och varianter av Deep Learning inom klassifiering, prediktion, interaktion och modellering med anvĂ€ndning av olika typer av data; ljud, bild, video, text, sekvenser. Begrepp sĂ„som ÖvertrĂ€ning, Dropouts och Gradienter gĂ„s igenom.   Installation och anvĂ€ndning av hĂ„rd- och mjukvaror för experimenterande med topologier sĂ„som CNN, RNN, LSTM, DQN och tillhörande parametrar samt inspektion av resultatet utgör en vĂ€sentlig del av kursen. Kursen gĂ„r Ă€ven kortfattat igenom Dataanalys, MaskininlĂ€rning, Tensorer, Datorseende, Transfer Learning,  Grunder i Robotik, Reinforcement Learning och metoder med kombinationen Deep Reinforcement Learning. Numeriska implementationer studeras översiktligt. Det Ă€r en tidsmĂ€ssig fördel att ha tillgĂ„ng till lĂ€mpliga berĂ€knings(grafik)kort alternativt ha/fĂ„ tillgĂ„ng till motsvarande molntjĂ€nst. Man kan köra Windows, OS X eller Linux.

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    SamhÀllet och AISamverkan mellan mÀnniskor och AI

    Welcome to a full day of presentations highlighting the link between Artificial Intelligence and Social Science reserach. In the first part of the day we will showcase several research projects driven by Lund University's own scholars in the field of AI and Social Science. In the afternoon, we will focus on the (thinking behind) funding opportunities available for researchers interested in applying for grants at the European level, but also showing evidence of projects that are more local in nature. While the morning session is open to the interested public, the afternoon session is targeted at LU researchers

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    Örebro

    Robotics

    The course offers knowledge on Robot Operating System (ROS), how it works and how it is applied within a variety of artificial intelligence and robotics areas. You will use ROS to design parts of an intelligent system and test these both in simulation as well as on existing robot platforms.

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    Göteborg

    DatavetenskapMaskininlÀrning

    Neurala nÀtverk Àr fördelade berÀkningsmodeller inspirerade av strukturen i denmÀnskliga hjÀrnan som bestÄr av mÄnga enkla bearbetningselement vilka Àr anslutna iett nÀtverk. Neurala nÀtverk anvÀnds alltmer inom ingenjörsvetenskap för uppgiftersom mönsterigenkÀnning, prediktion och kontroll. Teorin om neurala nÀtverk Àr ett tvÀrvetenskaplig fÀlt (neurobiologi, datavetenskap och statistisk fysik). Kursen ger en överblick och en grundlÀggande förstÄelse för neurala-nÀtverksalgoritmer.

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    UmeÄ

    Computer Science

    Artificial intelligence (AI) is a term used for describing technologies that are used for designing and constructing intelligent computer programs. There is a vast amount of AI algorithms and AI software tools to build intelligent computer programs. This course is an introduction to AI for professionals in industry and public organisations who have knowledge in engineering and system development. The course gives a wide perspective on different well-established AI methods and tools in order to show the potential opportunities to develop new AI-based technologies. The main themes of the course are theories and algorithms, which go from classical AI to emerging machine learning algorithms. The course also introduces social implications of the AI-based technologies, such as responsible development of AI.

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    Örebro

    Robotics

    The course covers three specialist fields of knowledge within AI: planning of resources, robot motion planning and multi-robot coordination, as well as introduce the specific principles behind these subjects, namely systematic and sampling-based searching algorithms, constraint-based reasoning and robot kinematics. Within each subject (planning of resources, robot motion planning and multi-robot coordination), a state-of-the-art tool will be presented and used as the basis for a project work.

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    Örebro

    Computer Science

    The course addresses the basic concepts within classical artificial intelligence (other than machine learning). Traditional artificial intelligence is characterized by the so-called declarative approach to problem solving. The course deals with a selection of different intelligent problem-solving methods, both in theory and practice. After completing the course, the student will be able to model and use appropriate generic solution algorithms to solve problems in an intelligent system.

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    UmeÄ

    Applications of AIComputer SciencePlanning and SchedulingKnowledge Representation and Reasoning

    Answer Set Programming (ASP) is an approach developed within the field of artificial intelligence (AI) for solving difficult search problems. ASP was initially developed for  modeling problems in the branch of AI that is commonly referred to as Knowledge Representation and Reasoning (KRR), and has been identified as a significant contribution in the research field of AI. More recently, ASP has become highly attractive for the representation of and solving search problems both for academia and industry. ASP been successfully applied for solving problems in domains such as bioinformatics, scheduling, timetabling, dynamic reconfiguration, and software engineering. This course introduces the Answer Set Programming paradigm and shows its potential to deal with industrial problems. The course is for professionals in industry and public organisations who have knowledge in engineering and system development, who want to gain deepened knowledge in AI.

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    Örebro

    Knowledge Representation and Reasoning

    The course addresses the major principles in logic and constraint programming. The main focus of the course is on Stable Model or Answer Set semantics. This course  also focuses on formalizing and solving various problems within a declarative paradigm. After completing the course, the student will be able to apply a suitable symbolic reasoning method based on answer set solvers to solve a problem within an intelligent system.

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    Online

    SamhÀllet och AISamverkan mellan mÀnniskor och AI

    Vilken roll spelar informationsteknologin i morgondagens skola? Hur förÀndrar AI och digitalisering villkoren för hur vi lÀr oss och hur vi skapar ny kunskap? Nu kan du som Àr verksam inom skolan och utbildningsvÀsendet pÄ ett enkelt och snabbt sÀtt förstÄ mer. VÄrt kurspaket vÀnder sig till lÀrare frÄn grundskola till högre utbildning, som vill fördjupa sig i aktuell forskning om digitalisering och dess betydelse för skolan och för lÀrande. För att förstÄ detta komplexa och snabbförÀnderliga omrÄde och fÄ svar pÄ dina frÄgor har du meriterade forskare och experter inom omrÄdet till din hjÀlp.

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    Örebro

    Applications of AI

    This course looks into different phenomena of human interaction with mixed reality. We will examine different aspects of human perception of mixed reality, depending on such factors as fidelity, immersion, and presence. In the course we look at the way people act when being immersed into virtual or remote environment. And we look at the methods of building efficient interaction scenarios and measuring interaction quality, using qualitative and quantitative tools. Upon completion of this course, students will be able to apply theoretical knowledge on developing mixed reality experiences to appropriate industrial problems and evaluate the effect of mixed reality in a critical manner.

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    Örebro

    Machine Learning

    The course offers knowledge of the basic concepts with machine learning, the selection and application of different machine learning algorithms as well as evaluation of the performance of these learning systems. After completing the course, student should be able to prepare data and apply machine learning techniques to solve a problem in an intelligent system.

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    Online

    SamhÀllet och AISamverkan mellan mÀnniskor och AI

    Vilken roll spelar informationsteknologin i morgondagens skola? Hur förÀndrar AI och digitalisering villkoren för hur vi lÀr oss och hur vi skapar ny kunskap? Nu kan du som Àr verksam inom skolan och utbildningsvÀsendet pÄ ett enkelt och snabbt sÀtt förstÄ mer. VÄrt kurspaket vÀnder sig till lÀrare frÄn grundskola till högre utbildning, som vill fördjupa sig i aktuell forskning om digitalisering och dess betydelse för skolan och för lÀrande. För att förstÄ detta komplexa och snabbförÀnderliga omrÄde och fÄ svar pÄ dina frÄgor har du meriterade forskare och experter inom omrÄdet till din hjÀlp.

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    Lund

    Behandling av naturliga sprÄkDatavetenskapDatorseendeMaskininlÀrning

    This AIML@LU fika-to-fika workshop focuses on the development of the technologies that form the basis of Artificial Intelligence and Machine Learning. Possible topics to discuss are the research front for different types of AI, but also to look at different techniques for machine learning.

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    Lund

    MaskininlÀrningSamhÀllet och AISamverkan mellan mÀnniskor och AI

    Workshop on opportunities and perils of fake data produced by the AI concept Generative Adversarial Networks (GAN) and other generative machine learning techniques. In the last 5 years the field of so-called creative or generative Artificial Intelligence, notably Generative Adversarial Networks (GANs), has progressed in an enormous pace. What does it mean for our society that AI is gaining an increasing capacity to (re-)produce informational patterns? How does the world look like when it is populated with deep fakes and synthetic realities?

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    Lund

    MaskininlÀrningSamhÀllet och AISamverkan mellan mÀnniskor och AITillÀmpningar av AI

    Exploring AI – The future benefits and challenges. Beyond the traditional conference we present the unique POWWOW experience. During this POWWOW we gather across sectors and competences around the hot topic Artificial Intelligence. Together we explore the impact it will have on society and our common future, but we also look into specific industries and their applications.

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    Stockholm

    InformationsvetenskapMatematik och statistikTillÀmpningar av AI

    Learn how to use analytics to improve the performance of your organization. In this 2-day course, you will learn how to analyze data, build models and communicate results to create business value.

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    Lund

    MaskininlÀrningSamhÀllet och AISamverkan mellan mÀnniskor och AITillÀmpningar av AI

    Artificiell intelligens i t. ex. hÀlso- och vÄrdappar, i administrativa system eller för prioritering av vÄrdköer. Den som ska ta stÀllning till om man vill, fÄr och bör anvÀnda AI-teknologier inom hÀlsovÄrden har mycket att fundera pÄ redan innan man tÀnker pÄ hur det kan gÄ till. Den 9 Maj arrangerar eHealth@LU tillsammans med AIML@LU en fika-till-fika workshop för att belysa möjligheter, utmaningar och forskning inom omrÄdet.

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    Göteborg

    InformationsvetenskapMatematik och statistikTillÀmpningar av AI

    Learn how to use analytics to improve the performance of your organization. In this 2-day course, you will learn how to analyze data, build models and communicate results to create business value.

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    Helsingborg

    MaskininlÀrningSamhÀllet och AISamverkan mellan mÀnniskor och AI

    Vi ser just nu hur ett nytt handelslandskap vĂ€xer fram, med nya möjligheter och nya utmaningar – och inte minst ny teknik och nya aktörer. Handeln blir allt mer informationsdriven, och en ny industri kring insamling, hantering och analys av kunddata vĂ€xer fram. Det handlar dels om att lĂ€ra sig om och förutse behov, men ocksĂ„ om att kunna anpassa budskap och erbjudande. FrĂ„gorna kring AI och maskininlĂ€rning Ă€r mĂ„nga, och under en halvdag kommer vi att fĂ„ lite olika perspektiv pĂ„ frĂ„gan.

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    Örebro

    Matematik och statistikPlanering och schemalÀggningSamhÀllet och AITillÀmpningar av AI

    Örebro universitet erbjuder kursen Introduktion till artificiell intelligens som tar upp grundlĂ€ggande koncept inom klassisk artificiell intelligens (utöver maskininlĂ€rning). Traditionell artificiell intelligens karaktĂ€riseras av sĂ„ kallad deklarativ ansats för problemlösning. Kursen behandlar ett urval av olika intelligenta problemlösningsmetoder, sĂ„vĂ€l teoretiskt som praktiskt.

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    Örebro

    RoboticsApplications of AIMachine Learning

    Örebro University offers a course in Reinforcement Learning. The course provides a general introduction to reinforcement learning in theory and practice.

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    Örebro

    RobotikTillÀmpningar av AI

    Örebro universitet erbjuder en introduktion till ROS (Robot Operating System). Under utbildningen erbjuds kunskap om hur ROS fungerar och hur ROS kan tillĂ€mpas inom olika omrĂ„den inom robotik och artificiell intelligens.

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    Lund

    DatavetenskapDatorseendeInformationsvetenskapMaskininlÀrning

    We are arranging a Workshop on Sensing, Imaging, and Machine Learning at Lund University, March 5, 2019. This workshop is organized in cooperation between Lund University and Saab. The aim is to provide the participants with an opportunity to discuss and learn about theory and applications in Sensing, Imaging, and Machine Learning.

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    Lund

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    An autonomous robot is a robot that performs behaviors or tasks with a high degree of autonomy. Autonomous robotics is usually considered to be a subfield of artificial intelligence, robotics, and information engineering.

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    Helsingborg

    MaskininlÀrningSamhÀllet och AISamverkan mellan mÀnniskor och AITillÀmpningar av AI

    Detta blir den femte öppna fika-till-fika-workshopen om och kring forskning om artificiell intelligens vid Lunds universitet. Det övergripande temat Àr AI i den offentliga sektorn, med underteman som AI i demokratisk processer, AI i beslutsstöd, AI-driven offentlig service...

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    Stockholm

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    Machine learning is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to "learn" (e.g., progressively improve performance on a specific task) from data, without being explicitly programmed.

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    Stockholm

    InformationsvetenskapMatematik och statistikTillÀmpningar av AI

    Learn how to use analytics to improve the performance of your organization. In this 2-day course, you will learn how to analyze data, build models and communicate results to create business value.

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    Lund

    MaskininlÀrningSamhÀllet och AISamverkan mellan mÀnniskor och AITillÀmpningar av AI

    Artificiell Intelligens har utvecklats kraftigt de senaste Ären, speciellt inom delomrÄdet maskininlÀrning. I den hÀr endags kursen ger vi en översiktlig introduktion till Artificiell Intelligens och MaskininlÀrning. Du fÄr lÀra dig mer om vad det Àr, testa pÄ att göra lite egen maskininlÀrning och höra mer om dess möjligheter men ocksÄ rÀttsliga och etiska utmaningar. Under kursen vill vi Àven höra mer om era frÄgestÀllningar och fundera pÄ vilka kurser som Lunds universitet skulle kunna utveckla för att hjÀlpa er att möta dessa utmaningar.

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    Lund

    MaskininlÀrningSamhÀllet och AISamverkan mellan mÀnniskor och AI

    How do you ensure fairness in the application of AI and ML? How transparent and explainable need autonomous and self-learning services be from a legal, social or ethical perspective? How do you balance privacy or other values against a need for access to training-data? Can an algorithm really illegally discriminate? And, to what extent can AI and ML be a method within social sciences or the humanities?

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    UmeÄ

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    Att lyfta fram orden unbiased recruitment Ă€r det starkaste sĂ€ljargumentet för AI-rekrytering idag. Liksom att algoritmerna styr. Det handlar om att AI Ă€r blind för


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    Örebro

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    From probability and statistics to data analysis and machine learning, master the skills needed to solve complex challenges with data.

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    Örebro

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    Argumentet mot AI Àr ofta att utvecklingen fortfarande Àr i ett tidigt skede och att systemen och algoritmerna mÄste bli mer intelligenta. Men inom HR gÄr det fort och mÄnga vill leda utvecklingen

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    Lund

    DatorseendeMaskininlÀrningSamverkan mellan mÀnniskor och AITillÀmpningar av AI

    The aim of the day is to do an inventory and give information about on ongoing or planned projects in artificial intelligence and machine learning in medicine. It is also a day to make connections and exchange experiences. Examples on common challenges are specific for the medicine are 1) large scale image management, 2) extract images from PACS system, 3) privacy and GDPR, 4) Computational capacity inside hospital firewall.

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