Nick Feamster (CDAC) - Why (and How) Networks Should Run Themselves

On August 20, 2020, CDAC Faculty Director Nick Feamster addressed the AI + Science seminar series, organized by the AI Joint Task Force formed by members of the University of Chicago, Argonne National Laboratory (ANL), Fermi National Accelerator Laboratory (FNAL), and Toyota Technological Institute at Chicago (TTIC).

More information on the AI + Science program.

Uncovering Patterns in Structure for Voltage Sensing Membrane Proteins with Machine Learning

BlogApr 11, 2024

Finding the likely causes when potential explanatory factors look alike

Gravity and general theory of relativity concept. Earth and Sun on distorted spacetime. 3D rendered illustration.

BlogApr 04, 2024

An Intro to Gravitational-Wave Astronomy

This is a standard figure used in the field. I don’t have a more specific image to my research than this that would be an appropriate cover image.

BlogMar 28, 2024

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Transform cohort 3 participant Healee uses AI to improve healthcare

Uncovering Patterns in Structure for Voltage Sensing Membrane Proteins with Machine Learning

Finding the likely causes when potential explanatory factors look alike

An Intro to Gravitational-Wave Astronomy

Ritesh Kumar (Uchicago) – AI+Science Schmidt Fellows Speaker Series

MS in Applied Data Science – Information Session (Online Program)

Chicago Data Night – Aramide Kehinde (Amazon Web Services)

More on this topic

Uncovering Patterns in Structure for Voltage Sensing Membrane Proteins with Machine Learning

Finding the likely causes when potential explanatory factors look alike

An Intro to Gravitational-Wave Astronomy

Leveraging machine learning to uncover the lives and deaths of massive stars using gravitational waves