3 Questions: Beyond data-driven aesthetics
In a new Keller Gallery exhibition, Alexandros Haridis SM ’17, PhD ’22 traces centuries of ideas about aesthetic judgment and explores how design can make complex computational systems visible.
In a new Keller Gallery exhibition, Alexandros Haridis SM ’17, PhD ’22 traces centuries of ideas about aesthetic judgment and explores how design can make complex computational systems visible.
To help robots do chores in places like homes and factories, a new approach from MIT uses one language model to clarify users’ instructions, then another to ignore irrelevant info.
A new system, known as Murakkab, optimizes the design and deployment of multistep workflows that power AI applications.
During the AI and Society Forum, leading MIT researchers examined critical questions about AI’s influence on employment and democracy.
Researchers combined an efficient algorithm with dedicated hardware to rapidly generate 3D maps for navigation using minimal memory and power.
Researchers show that for certain kinds of games, an overlooked class of algorithms performs much better than expected.
A new spatial memory system for robots efficiently captures details about the objects they see while exploring their environment.
MIT researchers provide a major upgrade to the nearly century-old idea of random utility models.
IAIFI enters its second phase with increased funding, broader ambitions, and a growing community at the frontier of AI and fundamental physics.
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.