Agentic AI systems are “designed to pursue complex goals with autonomy and predictability” (MIT Technology Review). Agentic AI models enable productivity by taking goal-directed actions, making contextual decisions, and adjusting plans based on changing conditions with minimal human oversight.

"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

MIT engineers developed a tag that can reveal with near-perfect accuracy whether an item is real or fake. The key is in the glue on the back of the tag.

An experimental platform that puts moderation in the hands of its users shows that people do evaluate posts effectively and share their assessments with others.

Algorithms designed to ensure multiple users share a network fairly can’t prevent some users from hogging all the bandwidth.

Using a randomized field experiment, researchers discover that Wikipedia articles affect judges’ legal reasoning.

The rechargeable battery can be woven and washed, and could provide power for fiber-based electronic devices and sensors.

A new tactile sensing carpet from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) can estimate human poses without using cameras, in a step towards  improving self-powered personalized healthcare, smart homes, and gaming.

MIT researchers have created the first fiber with digital capabilities, able to sense, store, analyze, and infer activity after being sewn into a shirt.

MIT researchers’ new hardware and software system streamlines state-of-the-art sentence analysis.