Caroline Uhler named SIAM Fellow for 2023
SDSC core faculty is being honored for her “fundamental contributions at the interface of statistics, machine learning, and biology."
A method for designing neural networks optimally suited for certain tasks
With the right building blocks, MIT researchers including SDSC core faculty Caroline Uhler show that machine-learning models can more accurately ...
Women in the room
Academics, industry experts, and practitioners shared their stories, accomplishments, and knowledge at the seventh annual Women in Data Science (...
Strengthening trust in machine-learning models
SDSC core faculty Tamara Broderick and colleagues build a “taxonomy of trust” to identify where confidence in the results of a data analysis migh...
MIT professor to Congress: “We are at an inflection point” with AI
SDSC affiliate Aleksander Mądry urges lawmakers to ask rigorous questions about how AI tools are being used by corporations.
