Events
In this talk, I will describe machine learning paradigms that form a foundation on top of which we have built the lab-in-the-loop antibody design platform at Prescient Design, a...
Join us for an open research session featuring 20 postdocs in the Cornell Schmidt Science AI in Science Postdoctoral Fellowship program The AI in Science Program supports...
Diffusion Models for Scientific Discovery Diffusion models are at the core of many state-of-the-art generative AI systems for media content such as images, videos, and audio Due...
The message-passing paradigm has been the “battle horse” of deep learning on graphs for several years, making graph neural networks a big success in a wide range of...
This is the first of our seminars featuring postdocs from the Schmidt Futures AI for Science postdoc program Through the program, over 160 postdoctoral fellows from 9 universities...
We are excited to announce the AI for Science seminar series which aims to bring together the computational and scientific communities to understand advances and challenges at the...
Diffusion Models for Scientific Discovery Diffusion models are at the core of many state-of-the-art generative AI systems for media content such as images, videos, and audio Due...
For centuries, the method of discovery—the fundamental practice of science that scientists use to explain the natural world systematically and logically—has remained largely...
Computational sustainability (CompSust) is an interdisciplinary research area that uses computational methods to help address the 17 United Nations Sustainable Development Goals...
In the years ahead, there are outstanding questions to consider that explore significant advances addressing AI for HUMANITY Join host and AFOSR program officer for the Science of...
