5 days ago · An AI pipeline developed by CSAIL researchers enables unique hydrodynamic designs for bodyboard-sized vehicles that glide underwater and could help scientists gather marine data.

Jan 17, 2025 · MIT News explores the environmental and sustainability implications of generative AI technologies and applications.

Jun 3, 2025 · A team of MIT researchers founded Themis AI to quantify artificial intelligence model uncertainty and address knowledge gaps.

Jul 8, 2024 · Researchers from MIT and elsewhere developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes. Their method combines probabilistic AI models with the programming language SQL to provide faster and more accurate results than other methods.

Jun 30, 2025 · FutureHouse, co-founded by Sam Rodriques PhD ’19, has developed AI agents to automate some of the most critical steps on the path toward scientific progress.

Nov 22, 2024 · MIT researchers developed an efficient approach for training more reliable reinforcement learning models, focusing on complex tasks that involve variability. This could enable the leverage of reinforcement learning across a wide range of applications.

Apr 23, 2025 · After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, MIT researchers organized them into a “periodic table of machine learning” that can help scientists combine elements of different methods to …

Sep 19, 2024 · The MIT Entrepreneurship JetPack is a generative artificial intelligence tool that helps students navigate the 24-step Disciplined Entrepreneurship process developed by Trust Center’s managing director Bill Aulet.

Jan 16, 2025 · MIT Assistant Professor Manish Raghavan uses computational techniques to push toward better solutions to long-standing societal problems.

Mar 13, 2024 · 0 I am implementing RAG using azure AI search. I have created the index nd have 2605 document chunks in all to upload to the index. The peculiar behaviour that I have observed is : i cannot upload all 2605 chunks in one go. I try passing these in batch sizes of 600, by loooping over and passing 600 in every iteration. I end up uploading only 2000.