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Campus NewsMay 08, 2025

Novel Machine Learning Approaches to Facilitate Skin Cancer Detection

DSI NewsJan 28, 2025

Summer Lab Research Program Expanded with NSF-Funded AI+Science REU Program

DSI NewsNov 25, 2024

Fifth Annual Rising Stars in Data Science Celebrates 30 Early-Career Data Scientists

DSI NewsAug 29, 2024

DSI Celebrates Culmination of 2024 Summer Programs

Campus NewsJun 03, 2024

Startups Are Bringing a ‘Fresh Perspective’ to Clinical Trials

Microbial organisms drive the carbon cycle. Image adapted from Wu et al. 2024 https://doi.org/10.1016/j.scitotenv.2023.168627

BlogMay 30, 2024

Searching for simplicity in microbial communities

Fig: Formation of HIV capsid simulated by a coarse-grained model.
From: https://www.google.com/url?q=https://www.science.org/doi/epdf/10.1126/sciadv.add7434&sa=D&source=docs&ust=1715014663521469&usg=AOvVaw3fATTBC_yAvxPv6WPYI17_

BlogMay 22, 2024

AI as a Great Teacher for Molecular Dynamic Modeling

DSI NewsMay 22, 2024

Eric and Wendy Schmidt AI in Science Postdoctoral Fellows host first-ever hackathon

AI methods and models have enabled a huge leap in our understanding of how images are processed in the brain.
We used to describe visual neurons as “edge detectors” and “face detectors”. Using deep neural networks, we have
discovered that images like these (which really can’t be described with words) are richer models of single neurons in
our visual system. I liken these AI-enabled descriptions of neural function, perhaps ironically, to a whole new kind of
vocabulary that neuroscientists can now use to explain the visual system. (Images from various papers including a,b, c, d, e , f)

BlogMay 16, 2024

Expanding Our Vocabulary of Vision Using AI

In The MediaMay 06, 2024

Nūtrad, from Transform Cohort 2, featured in The Chicago Maroon