School of Engineering
School of Engineering

The crucial human component in computing and AI

The MIT Ethics of Computing Research Symposium brought together experts and researchers working at the heart of ethical and social impact in technology.

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.

Building AI models that understand chemical principles

Connor Coley works at the interface of chemistry and machine learning, to discover and design new drug compounds.

Justin Solomon appointed associate dean of engineering education

MIT faculty member in electrical engineering and computer science to focus on innovation in engineering education and new pedagogical approaches.

Two from MIT named 2026 Knight-Hennessy Scholars

The prestigious fellowship funds graduate studies at Stanford University.

Games people — and machines — play: Untangling strategic reasoning to advance AI

Assistant Professor Gabriele Farina mines the foundations of decision-making in complex multi-agent scenarios.

Beacon Biosignals is mapping the brain during sleep

Founded by Jake Donoghue PhD ’19 and former MIT researcher Jarrett Revels, the company is creating an AI-driven platform to help diagnose and treat disease.

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.