MIT

MIT researchers use AI to estimate particle size 60x faster in pharma manufacturing, reducing analysis time from 15 to 0.25 seconds.

Researchers propose labelling AI systems in healthcare with usage info, including training time, data origin, intended use, biases, and warnings.

MIT study: AI models in home surveillance inconsistently detect crime, recommend police calls, and show demographic biases in decision-making

MIT's Entrepreneurship JetPack uses AI to rapidly answer startup queries, streamlining development. It's trained on a 24-step framework and provides instant research.

MIT's Crystalyze AI reveals crystal structures from powder samples. It predicts lattice size, composition, and atom arrangement with 67% accuracy on new data.

Co-LLM allows general AI to collaborate with expert models, improving factual accuracy. It uses a "switch variable" to defer to specialists at word level, enhancing efficiency.