AI Talks Seminars at Chalmers

Chalmers AI Talks are inspiring seminars from internationally acclaimed experts on artificial intelligence.

Come listen to world-renowned leaders in computer science, machine learning and statistics  discuss on a wide range of perspectives on how AI will affect research, business and society.

The seminars are open to all and are free of charge. Registration is required.

This series is arranged by the Chalmers AI Research Centre (CHAIR).

Previous AI Talks seminars​

Sandeep Juneja

Sandeep Juneja is a Senior Professor in the School of Technology and Computer Science at the Tata Institute of Fundamental Research, in Mumbai. His research interests lie in applied probability including in sequential learning, mathematical finance, Monte Carlo methods, and game theoretic analysis of queues. 

Date: June 2, 2022, at 14:00-15:00​ (Swedish time)
​​​ Inform​ation a​nd registration​


 Susan Athey

Susan Athey is The Economics of Technology Professor at Stanford Graduate School of Business. Her research focuses on the economics of digitization, marketplace design, and the intersection of econometrics and machine learning. She has worked on several application areas, including timber auctions, internet search, online advertising, the news media, and the application of digital technology to social impact applications.  

Date: May 10, 2022, at 16:00-17:00​ (Swedish time)
​​​ Inform​ation a​nd registration​

Pushmeet Kohli

​Title: Leveraging AI for Science​

Pushmeet Kohli leads the AI for Science team at Google DeepMind which aims to leverage AI and ML techniques to accelerate progress on important scientific challenges. The team conducts research in many areas of Science and has made contributions in structural biology (protein folding), quantum chemistry, genomics and pure mathematics.

Date: April 27, 2022, at 15:00-16:00​ (Swedish time)
​​ Information and registration​

Cynthia Rudin

​Title: Interpretable machine learning​

Cynthia Rudin is a professor of computer science, electrical and computer engineering, statistical science, and biostatistics & bioinformatics at Duke University, and directs the Interpretable Machine Learning Lab. Cynthia was recently awarded the AAAI Squirrel AI Award or pioneering socially responsible AI.​

Date: December 8, 2021, at 15:00-16:00​ (Swedish time)
​​ Information and registration​​

Susan A. Murphy is​ Mallinckrodt Professor of Statistics and of Computer Science, Radcliffe Alumnae Professor at the Radcliffe Institute. She leads the Statistical Reinforcement Learning Lab, working on the development of data analytic algorithms and methods for informing sequential decision making in health.

Date: January 19, 2022, at 15:00-16:00​ (Swedish time)
​​ Information and registration

Martin Danelljan is a senior researcher at ETH Zürich, Switzerland. He received his Ph.D. degree from Linköping University, Sweden in 2018. His Ph.D. thesis was awarded the biennial Best Nordic Thesis Prize at SCIA 2019. His main research interests are meta and online learning, deep probabilistic models, and conditional generative models.​

Date: October 20, 2021, at 15:00-16:00​ (Swedish time)
 Information and registration​​​​​


Madhav Marathe

Title: Vaccine prioritization: The role of AI and computing in pandemic planning and response

Madhav Marathe is a Distinguished Professor in Biocomplexity, the division director of the Network Systems Science and Advanced Computing Division at the Biocomplexity Institute and I​nitiative, and a Professor in the Department of Computer Science at the University of Virginia (UVA)

Date: March 11, 2021, at 15:00-16:00​ 
 Information and registration​​

Mihaela van der Schaar ​

Title: Why medicine is creating exciting new frontiers for machine learning

Mihaela van der Schaar is John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge and a Turing Fellow at The Alan Turing Institute in London. ​​

Date: February 17, 2021, at 11:00-12:00

 Information and registration​​

Kerrie Mengersen

Title: Calling all Citizen Scientists: using Bayesian Statistics to advance public input into scientific analysis

Kerrie Mengersen is a Distinguished Professor in Statistics at the Queensland University of Technology in Brisbane, Australia. She is the Deputy Director of the Australian Research Council Centre of Excellence in Mathematical Frontiers and the Director of the QUT Centre for Data Science.

Date: February 3, 2021, at 10:00

 Information and registration

​Michael I. Jordan

Title: The Decision-Making Side of Machine Learning: Computational, Inferential and Economic Perspectives

Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley.

Date: December 17, 2020, at 16:00

 Information and registration​

Title: Cooperation in networks of learning agents

Nicolo Cesa-Bian​chi is a professor of Computer Science in the Department of Computer Science and the Data Science Research Centre of University of Milan.

Date: November 26, 2020, at 15:00

 Information and registration​

Bill Dally

Title: Domain-Specific Accelerators​

Bill Dally is Professor (Research) of Computer Science and of Electrical Engineering at the Department of Computer Science at the Stanford University and Chief Scientist at Nvidia.

Date: November 19, 2020 at 16:00

 Information and registration

Aravind Srinivasan

Title: Fairness in AI and in Algorithms

Aravind Srinivasan is a Distinguished University Professor of the University of Maryland. He is an elected Fellow of six professional societies: ACM, IEEE, AMS, AAAS, EATCS, and SIAM. His research interests include algorithms, combinatorial optimization and their interface with machine learning.​

Date: November 12, 2020, at 15:00

 Information and registration​

Arthur Gretton

Learning to generate realistic-looking images

Critics for generative adversarial networks: results and conjectures

Arthur Gretton is Professor with the Gatsby Computational Neuroscience Unit, and director of the Centre for Computational Statistics and Machine Learning at UCL.

Date: October 14th, 2020, at 13.00

 Information and registration

Barbara Plank

Learning across Adverse Conditions in Natural Language Processing​

Barbara Plank is Associate Professor of Natural Language Processing (NLP) in the Computer Science Department at IT University of Copenhagen, where she leads a research lab in natural language processing.

Date: October 1st, 2020, at 13.00

Information and registration

Thomas Schön

AI for research and some new results on deep regression

Thomas B. Schön is Professor of the Chair of Automatic Control in the Department of Information Technology at Uppsala University, and has recently been appointed Beijer Professor of Artificial Intelligence at the same university.

Date: 18 th June 2020, at 13.00

 Information and registration



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