2026

Why it matters: AI Transforming the Future of Physics explores how AI accelerates discovery across particle and quantum research.

Brian Hedden PhD ’12 has been appointed co-associate dean of the Social and Ethical Responsibilities of Computing (SERC) at MIT, a cross-cutting initiative in the MIT Schwarzman College of Computing, effective Jan. 16. Hedden is a professor in the Department of Linguistics and Philosophy, holding an MIT Schwarzman College of Computing shared position with the…

In the pursuit of solutions to complex global challenges including disease, energy demands, and climate change, scientific researchers, including at MIT, have turned to artificial intelligence, and to quantitative analysis and modeling, to design and construct engineered cells with novel properties. The engineered cells can be programmed to become new therapeutics — battling, and perhaps…

Antonio Torralba, Delta Electronics Professor of Electrical Engineering and Computer Science and faculty head of artificial intelligence and decision-making at MIT, has been named to the 2025 cohort of Association for Computing Machinery (ACM) Fellows. He shares the honor of an ACM Fellowship with three MIT alumni: Eytan Adar ’97, MEng ’98; George Candea ’97,…

Why it matters: AI Invents Religion: Meet Moltbook explores GPT-3’s creation of a machine-made belief system and its real-world impact.

Why it matters: AI Chip Wars: Amazon, Google, Nvidia explores how custom chips are reshaping AI performance and cloud dominance.

Why it matters: MoltBook: Inside an AI-Only Network explores a bot-run social platform where no humans ever log in.

Why it matters: When AI Feeds the Mind’s Shadows explores AI-linked paranoia, delusions, and the rise of digital mental distress.

Why it matters: AI Agents Launch Their Own Reddit explores how autonomous AIs communicate and evolve in a bot-only forum.

How can artificial intelligence step out of a screen and become something we can physically touch and interact with? That question formed the foundation of class 4.043/4.044 (Interaction Intelligence), an MIT course focused on designing a new category of AI-driven interactive objects. Known as large language objects (LLOs), these physical interfaces extend large language models…