AI for Science
“AI for Science” seeks to explore and develop Machine Learning and Data Mining (“AI”) approaches for accelerating scientific discoveries as well as designs. An example of this is learning from data to build predictive models that can enable exploration of scientific questions without relying upon underlying theory. Given that modern instruments, supercomputing simulations, experiments, sensors and IoT are creating massive amounts of data at an astonishing speed and diversity, “AI for Science” has the potential to significantly accelerate science discoveries. E.g., can AI learn chemistry from data? Or how can AI replace or reduce the need for expensive simulations or experiments to perform discoveries quickly or evaluate a feasible design space
? This talk will present some learnings that address some of the questions above using various materials design and discovery and other examples. We will also briefly discuss the use of AI in clinical settings for Medical applications in Pulmonary care.
Biography: Dr. Alok Choudhary is Harold Washington Professor in the ECE and CS departments at Northwestern University. He was the founder, chairman and chief scientist of 4C insights, a big data analytics and marketing technology software company (4C was recently acquired by MediaOcean). He received the National Science Foundation’s Young Investigator Award in 1993. He was listed by Adweek in “trailblazers and pioneers in Marketing technologies”. He is a fellow of IEEE, ACM and AAAS and a recipient of the NSF Young Investigator Award. He has published more than 400 papers in various journals and conferences and has graduated 45+ PhD students, including more than 14 women PhDs. He serves on the board or advisory boards of several companies. He is a co-author and co-editor of a recent book “AI for Science: A Deep Learning Revolution”.
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