EnCompass executes AI agent programs by backtracking and making multiple attempts, finding the best set of outputs generated by an LLM. It could help coders work with AI agents more efficiently.
Architecture students bring new forms of human-machine interaction into the kitchen.
New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.
The speech-to-reality system combines 3D generative AI and robotic assembly to create objects on demand.
Large language models can learn to mistakenly link certain sentence patterns with specific topics — and may then repeat these patterns instead of reasoning.
The coding framework uses modular concepts and simple synchronization rules to make software clearer, safer, and easier for LLMs to generate.
To reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearranged, or restyled.
Optimized for generative AI, TX-GAIN is driving innovation in biodefense, materials discovery, cybersecurity, and other areas of research and development.
Four new professors join the Department of Architecture and MIT Media Lab.
The AI-enabled platform serves as a hub for MIT’s lifelong learning opportunities.
