Not sure what to think about DeepSeek R1, the most recent large language model (LLM) making waves in the global tech community? Faculty from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) are here to help!

"The net effect [of DeepSeek] should be to significantly increase the pace of AI development, since the secrets are being let out and the models are now cheaper and easier to train by more people." ~ Associate Professor Phillip Isola

Many companies are turning to automation—a solution long feared by some workers—in an effort to thrive in this economic environment.

This publication explores how these new technologies will transform the way we build database management software, creating new systems that can ingest, store, process, and query all data.

Daniela Rus’s dream is to imbue the power of robotics with the wisdom of humanity. She runs MIT’s Computer Science and Artificial Intelligence Laboratory. As part of his ongoing series on the promise and perils of AI, Globe Ideas Editor Brian Bergstein talks to Rus about her new book “The Heart and the Chip.” She says robots won’t just do our chores and work in our factories; they can teach us how to hit tennis balls like Serena Williams and defy gravity like Iron Man. She says your car won’t just drive you around — it might also be a friend. 

CSAIL Director & Liquid  AI Co-Founder Professor Daniela Rus has been named to the third annual Tech Power Players 50, a list of the most influential – and interesting – people in the New England technology scene, as ranked by The Boston Globe’s business journalists and an external advisory.

Daniela Rus is a pioneering roboticist and a professor of electrical engineering and computer science at MIT. She is the director of the Computer Science and Artificial Intelligence Laboratory. She is also a member of the National Academy of Engineering, the American Academy of Arts and Sciences, and a MacArthur Fellow.

The advancement of Large Language Models (LLMs), including GPT-4, provides exciting new opportunities for generative design. We investigate the application of this tool across the entire design and manufacturing workflow.

Universities founded centuries ago are the ones poised to tackle problems far enough removed from the market demands and day-to-day profit margins that drive industry's shareholders.