Three MIT students selected as inaugural MIT-Pillar AI Collective Fellows
The graduate students will aim to commercialize innovations in AI, machine learning, and data science.
The graduate students will aim to commercialize innovations in AI, machine learning, and data science.
A new method enables optical devices that more closely match their design specifications, boosting accuracy and efficiency.
Justin Solomon applies modern geometric techniques to solve problems in computer vision, machine learning, statistics, and beyond.
Speranza system brings hope to users that the package they download is functional software, not malware.
During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.
Anushree Chaudhuri and Rupert Li will pursue graduate studies in the United Kingdom.
The series aims to help policymakers create better oversight of AI in society.
The computer scientist will study global affairs at Tsinghua University in China as part of the 2025-26 class of Schwarzman Scholars.
MIT researchers develop a customized onboarding process that helps a human learn when a model’s advice is trustworthy.
A new, data-driven approach could lead to better solutions for tricky optimization problems like global package routing or power grid operation.
MIT Digital Learning Lab and Empowr pilot a new internship program.
MIT CSAIL researchers established new connections between combinatorial and continuous optimization, which can find global solutions for complex motion-planning puzzles.
Rodney Brooks, co-founder of iRobot, kicks off an MIT symposium on the promise and potential pitfalls of increasingly powerful AI tools like ChatGPT.
Human Guided Exploration (HuGE) enables AI agents to learn quickly with some help from humans, even if the humans make mistakes.
By analyzing bacterial data, researchers have discovered thousands of rare new CRISPR systems that have a range of functions and could enable gene editing, diagnostics, and more.