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

The SecureLoop search tool efficiently identifies secure designs for hardware that can boost the performance of complex AI tasks, while requiring less energy.

Dina Katabi, MIT EECS Thuan and Nicole Pham Professor and CSAIL principal investigator, was recently honored with the SIGCOMM Lifetime Achievement Award for her impact on the field of data communications.

An experiment in Egypt suggests ways to spread information for women facing domestic violence.

Researchers create a privacy technique that protects sensitive data while maintaining a machine-learning model’s performance.

Internet policy and privacy are increasingly important in the eyes of both regulators and the public. As more of our life becomes digital, where is the line drawn between the availability of information and the freedom to use it? MIT Professor Shafi Goldwasser, a co-founder of Duality Technologies, a Turing award and two-time Gödel Prize winner, interviewed MIT CSAIL’s Daniel J. Weitzner, Co-faculty director of the MIT Data, Trust and Privacy Initiative, to discuss Internet privacy and public policy. 

CSAIL's new initiative, led by Daniel Weitzner and Srini Devadas, will focus on topics such as database systems, applied cryptography, AI and machine learning, and human-computer interaction.