A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.
“GeoPT” helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.
Read MoreMIT researchers developed FloatForm, a swarm of small aquatic robots that snap together like ants forming a raft, assembling into reconfigurable structures on the water.
Read MoreA USAF cadet and a Lincoln Laboratory researcher found AI chatbots can help nontechnical service members produce viable software applications for their unique problems.
Read MoreA new system, known as Murakkab, optimizes the design and deployment of multistep workflows that power AI applications.
Read MoreDuring the AI and Society Forum, leading MIT researchers examined critical questions about AI’s influence on employment and democracy.
Read MoreResearchers combined an efficient algorithm with dedicated hardware to rapidly generate 3D maps for navigation using minimal memory and power.
Read MoreAssistant Professor Gabriele Farina mines the foundations of decision-making in complex multi-agent scenarios.
Read MoreA new debiasing technique called WRING avoids creating or amplifying biases that can occur with existing debiasing approaches.
Read MoreBuilding on a long-standing MIT–IBM collaboration, the new lab will chart the convergence of AI, algorithms, and quantum computing.
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