Researchers make headway in solving a longstanding problem of balancing curious “exploration” versus “exploitation” of known pathways in reinforcement learning.

“Interpretability methods” seek to shed light on how machine-learning models make predictions, but researchers say to proceed with caution.

With FabO, PhD student Dishita Turakhia wants to empower students to learn digital fabrication by making video game objects and characters come alive.

Theories from cognitive science and psychology could help humans learn to collaborate with robots faster and more effectively, scientists find.

Scientists demonstrate that AI-risk models, paired with AI-designed screening policies, can offer significant and equitable improvements to cancer screening.

MIT computer scientists and mathematicians offer an introductory computing and career-readiness program for incarcerated women in New England.