MIT AI Digest — Oct 31

Helping nonexperts build advanced generative AI models

Written by Zach Winn | MIT News on Jun 22

MosaicML, co-founded by an MIT alumnus and a professor, made deep-learning models faster and more efficient. Its acquisition by Databricks broadened that mission.

Melissa Choi named director of MIT Lincoln Laboratory

Written by Zach Winn | MIT News on Jun 27

With decades of experience working across the laboratory's R&D areas, Choi brings a focus on collaboration, technical excellence, and unity.

MIT researchers introduce generative AI for databases

Written by Adam Zewe | MIT News on Jul 8

This new tool offers an easier way for people to analyze complex tabular data.

"They can see themselves shaping the world they live in"

Written by Katherine Ouellette | MIT Open Learning on Jul 9

Developed by MIT RAISE, the Day of AI curriculum empowers K-12 students to collaborate on local and global challenges using AI.

MIT ARCLab announces winners of inaugural Prize for AI Innovation in Space

Written by Janine Liberty | Department of Aeronautics and Astronautics on Jul 11

The challenge asked teams to develop AI algorithms to track and predict satellites' patterns of life in orbit using passively collected data

When to trust an AI model

Written by Adam Zewe | MIT News on Jul 12

More accurate uncertainty estimates could help users decide about how and when to use machine-learning models in the real world.

Reasoning skills of large language models are often overestimated

Written by Rachel Gordon | MIT CSAIL on Jul 12

New CSAIL research highlights how LLMs excel in familiar scenarios but struggle in novel ones, questioning their true reasoning abilities versus reliance on memorization.