The artificial intelligence in science and the science in artificial intelligence
Earthlings: artificial intelligence is rising behind the scenes, and it appears to be more advanced than most of us expected. What can artificial intelligence do? What jobs will it replace? What will it be good for? Max Welling, an artificial intelligence researcher superstar, director of the Microsoft Research Lab in Amsterdam and author of “About Living with Artificial Intelligence” will answer all your questions about artificial intelligence. Before Nicolai Kornerup will play Nordic Jazz.
What are the big recent advances in artificial intelligence (AI)? How can modern AI be effectively used in the natural sciences? Is there a deep relation between AI and physics? What societal challenges can we tackle with modern AI? What will the future of AI look like?
AI has progressed at an incredibly fast, sometimes scary, pace. From solving complicated games such as chess and GO, to generating images with uncanny quality, to Chatbots which exhibit the first signs of Artificial General Intelligence. Important as these advances are in their respective application domains, Max Welling predicts that we will see a much bigger paradigm shift in the way we will do scientific research in the near future based on these same techniques. For example, researchers at Google Deepmind used the same reinforcement learning technology that powers AlphaGO to fold proteins, cracking an open problem in the life sciences. Researchers around the world are making great strides in using the same technology that generates images to generate new drug molecule candidates. And the Large Language Models that power Chatbots like ChatGPT can be used to reason about complicated scientific problems.
These and future techniques can be used effectively to tackle some of the most urgent challenges that humanity will face over the next decades, such as designing new materials to capture and store carbon, making more efficient batteries, new catalysts to generate hydrogen more efficiently from water, and better designs for nuclear fusion reactors and wind turbines. But what is interesting is that the tools developed in the sciences are also at the core of some of the recent successes of AI. For instance, the models used to generate images are based on models developed by mathematicians and physicists a long time ago to describe liquids and gases. And with the advance of quantum computing, we may see yet another disruption at the interface of computer science and physics.
Max Welling will try to explain the enormous potential that this synergy will bring us, not only in terms of discovering powerful new AI algorithms, but also in terms of empowering the scientific applications that are relevant to tackle the big challenges for humanity over the decades.
Event held in English.
Prof. Dr. Max Welling is a research chair in Machine Learning at the University of Amsterdam and a Distinguished Scientist at Microsoft Research. He is a fellow at the Canadian Institute for Advanced Research (CIFAR) and the European Lab for Learning and Intelligent Systems (ELLIS) where he also serves on the founding board. His previous appointments include VP at Qualcomm Technologies, professor at UC Irvine, postdoc at U. Toronto and UCL under supervision of prof. Geoffrey Hinton, and postdoc at Caltech under supervision of prof. Pietro Perona. He finished his PhD in theoretical high energy physics under supervision of Nobel laureate prof. Gerard ‘t Hooft.
Max Welling has served as associate editor in chief of IEEE TPAMI from 2011-2015, he serves on the advisory board of the Neurips foundation since 2015 and has been program chair and general chair of Neurips in 2013 and 2014 respectively. He was also program chair of AISTATS in 2009 and ECCV in 2016 and general chair of MIDL 2018. Max Welling is recipient of the ECCV Koenderink Prize in 2010 and the ICML Test of Time award in 2021. He directs the Amsterdam Machine Learning Lab (AMLAB) and co-directs the Qualcomm-UvA deep learning lab (QUVA) and the Bosch-UvA Deep Learning lab (DELTA).
"Circles" is the latest in a series of musical achievements from Nicolai Kornerup, and it is a record that will bring warmth and sensitivity to listeners. Kornerup is melodically ambitious and multifaceted. His acoustic sound is simple and inviting and with a conscious basis in Nordic folk music and jazz.