Modern artificial intelligence and machine learning will fundamentally change scientific discovery. We are just beginning to understand the possibilities presented by an era of extraordinarily powerful computers coupled with advanced instruments capable of collecting enormous volumes of high-resolution experimental data. Off-the-shelf machine learning tools cannot fully extract the knowledge contained in these datasets, let alone generate new theories and propose future experiments.

The AI + Science Summer School will be held from July 15th – 19th, jointly hosted by the Data Science Institute (DSI), the Institute for Mathematical and Statistical Innovation (IMSI) at the University of Chicago, and Schmidt Sciences via our Eric and Wendy Schmidt AI in Science Fellowship program at the University of Chicago.

This year’s speakers will focus on applications of AI and Machine learning in core areas of domain science – genetics and physics, materials and chemistry, energy sciences, climate sciences and bioinformatics. The goal of the program is to introduce a new generation of diverse interdisciplinary graduate students and researchers to the emerging field of AI + Science. We also hope this program can build community and spur new research directions focused on AI-enabled scientific discovery across the physical and biological sciences. Lectures and tutorials will focus on some of these areas: Generative models, Representation learning, Label-efficient learning, Simulation-based inference and other inverse problems, and Uncertainty quantification. 

The organizing committee for the AI + Science Summer School includes Peter Lu, Ritesh Kumar, Yihang Wang, Anthony Badea, Mark Schulze, Simona Ahmed, and Rebecca Willett.

Campus Accommodations payment:

For those who are paying for Campus accommodations:

Single Room: $90/night per person; Double Room: $72/night per person; One-time $25 fee
Check-in: Sunday, July 14 after 10am Check-out: Friday, July 19 before 10am

Please refer to the email sent to you for the amount due and fill out the required entries below.

When ready to pay, fill out the three entries and hit “Submit”.
NOTE: when you hit submit, the system will take you to a separate CashNet page where you can enter your credit card information; this information will not be visible to anyone at the University of Chicago. It is not permitted to process the same credit card twice in a 10-minute window. This is a security measure. Refunds will be considered on a case-by-case basis.