Tools for making imagination blossom at MIT.nano
New STUDIO.nano supports artistic research and encounters within MIT.nano’s facilities.
New STUDIO.nano supports artistic research and encounters within MIT.nano’s facilities.
“ScribblePrompt” is an interactive AI framework that can efficiently highlight anatomical structures across different medical scans, assisting medical workers to delineate regions of interest and abnormalities.
Computer scientist who specializes in database management systems joins the leadership of the Department of Electrical Engineering and Computer Science.
A new algorithm solves complicated partial differential equations by breaking them down into simpler problems, potentially guiding computer graphics and geometry processing.
The three-day, hands-on conference hosted by the MIT RAISE Initiative welcomed youths and adults from nearly 30 countries.
Building on a landmark algorithm, researchers propose a way to make a smaller and more noise-tolerant quantum factoring circuit for cryptography.
Amulya Aluru ’23, MEng ’24 and the MIT Spokes have spent the summer spreading science, over 3,000 miles on two wheels.
With extensive international outreach experience as a faculty member and program leader, Boning brings a spirit of curiosity and collaboration to his new role.
An AI team coordinator aligns agents’ beliefs about how to achieve a task, intervening when necessary to potentially help with tasks in search and rescue, hospitals, and video games.
AI agents could soon become indistinguishable from humans online. Could “personhood credentials” protect people against digital imposters?
Ortiz is an internationally recognized researcher in biotechnology and biomaterials, advanced and additive manufacturing, and sustainable and socially-directed materials design.
In controlled experiments, MIT CSAIL researchers discover simulations of reality developing deep within LLMs, indicating an understanding of language beyond simple mimicry.
MIT’s Office of Graduate Education hosts Summit on Creating Inclusive Pathways to the PhD
The approach can detect anomalies in data recorded over time, without the need for any training.
SimPLE learns to pick, regrasp, and place objects using the objects’ computer-aided design model.