18 June 2026
The new TX-Generative AI Next (TX-GAIN) computing system at the Lincoln Laboratory Supercomputing Center (LLSC) is the most powerful AI supercomputer
In part 2 of our two-part series on generative artificial intelligence’s environmental impacts, MIT News explores some of the ways experts
Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today
Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical
Whitney Zhang ’21 believes in the importance of valuing workers regardless of where they fit into an organizational chart. Zhang
MIT Department of Mathematics researchers David Roe ’06 and Andrew Sutherland ’90, PhD ’07 are among the inaugural recipients of
The artificial intelligence models that turn text into images are also useful for generating new materials. Over the last few
The Martin Trust Center for MIT Entrepreneurship strives to teach students the craft of entrepreneurship. Over the last few years,
When OpenAI introduced ChatGPT to the world in 2022, it brought generative artificial intelligence into the mainstream and started a
When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational and financial budget.