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Researchers discover a shortcoming that makes LLMs less rel…
Large language models can learn to mistakenly link certain sentence patterns with specific topics — and may then repeat these patterns instead of reas...
MIT scientists debut a generative AI model that could creat…
BoltzGen generates protein binders for any biological target from scratch, expanding AI’s reach from understanding biology toward engineering it....
How artificial intelligence can help achieve a clean energy…
AI supports the clean energy transition as it manages power grid operations, helps plan infrastructure investments, guides development of novel materi...
The cost of thinking
MIT neuroscientists find a surprising parallel in the ways humans and new AI models solve complex problems....
Quantum modeling for breakthroughs in materials science and…
Quantum chemist and School of Science Dean’s Postdoctoral Fellow Ernest Opoku is working on computational methods to study how electrons behave....
New AI agent learns to use CAD to create 3D objects from sk…
The virtual VideoCAD tool could boost designers’ productivity and help train engineers learning computer-aided design....
Understanding the nuances of human-like intelligence
Associate Professor Phillip Isola studies the ways in which intelligent machines “think,” in an effort to safely integrate AI into human society....
Charting the future of AI, from safer answers to faster thi…
MIT PhD students who interned with the MIT-IBM Watson AI Lab Summer Program are pushing AI tools to be more flexible, efficient, and grounded in truth...
MIT researchers propose a new model for legible, modular so…
The coding framework uses modular concepts and simple synchronization rules to make software clearer, safer, and easier for LLMs to generate....
Teaching robots to map large environments
A new approach developed at MIT could help a search-and-rescue robot navigate an unpredictable environment by rapidly generating an accurate map of it...
3 Questions: How AI is helping us monitor and support vulne…
MIT PhD student and CSAIL researcher Justin Kay describes his work combining AI and computer vision systems to monitor the ecosystems that support our...
A faster problem-solving tool that guarantees feasibility
The FSNet system, developed at MIT, could help power grid operators rapidly find feasible solutions for optimizing the flow of electricity....
Creating AI that matters
How the MIT-IBM Watson AI Lab is shaping AI-sociotechnical systems for the future....
New software designs eco-friendly clothing that can reassem…
To reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each c...
Method teaches generative AI models to locate personalized …
After being trained with this technique, vision-language models can better identify a unique item in a new scene....
Checking the quality of materials just got easier with a ne…
Acting as a “virtual spectrometer,” SpectroGen generates spectroscopic data in any modality, such as X-ray or infrared, to quickly assess a material’s...
Helping scientists run complex data analyses without writin…
Co-founded by an MIT alumnus, Watershed Bio offers researchers who aren’t software engineers a way to run large-scale analyses to accelerate biology.....
Using generative AI to diversify virtual training grounds f…
New tool from MIT CSAIL creates realistic virtual kitchens and living rooms where simulated robots can interact with models of real-world objects, sca...