Research
Research

NSF renews support for MIT-led AI and physics institute, expanding a new model for discovery

IAIFI enters its second phase with increased funding, broader ambitions, and a growing community at the frontier of AI and fundamental physics.

Teaching AI agents to ask better questions by playing “Battleship”

MIT researchers use the classic game as a test bed for AI agents, finding a small AI model can outperform the biggest ones at 1 percent of the cost.

MIT researchers teach AI models to interpret charts

The new ChartNet training dataset could improve the accuracy of vision-language models that help analyze business trends or interpret scientific figures.

Media Advisory: MIT to establish regional quantum hub

With $25 million investment from the Commonwealth of Massachusetts, MIT to build a new shared-use facility to serve as a statewide quantum toolbox.

Technology usually creates jobs for young, skilled workers. Will AI do the same?

A new study of the postwar U.S. shows which kinds of workers historically filled new tech-enabled jobs.

Study: Firms often use automation to control certain workers’ wages

MIT economists found US companies tend to target employees earning a “wage premium,” which increases inequality but not necessarily productivity.

Making the case for curiosity-driven science

President Sally Kornbluth spoke in front of a packed crowd about growing challenges to the U.S. research ecosystem as funding for America’s top research universities becomes increasingly strained

Solving the “Whac-a-mole dilemma”: A smarter way to debias AI vision models

A new debiasing technique called WRING avoids creating or amplifying biases that can occur with existing debiasing approaches.

The MIT-IBM Computing Research Lab launches to shape the future of AI and quantum computing

Building on a long-standing MIT–IBM collaboration, the new lab will chart the convergence of AI, algorithms, and quantum computing.

Enabling privacy-preserving AI training on everyday devices

A new method could bring more accurate and efficient AI models to high-stakes applications like health care and finance, even in under-resourced settings.