Responding to the climate impact of generative AI
IFTTTIn part 2 of our two-part series on generative artificial intelligence’s environmental impacts , MIT News explores so…
In part 2 of our two-part series on generative artificial intelligence’s environmental impacts , MIT News explores so…
Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. B…
People are increasingly turning to software to design complex material structures like airplane wings and medical impla…
Transistors, the building blocks of modern electronics, are typically made of silicon. Because it’s a semiconductor, th…
At the center of nuclear reactors across the United States, a new type of chromium-coated fuel is being used to make th…
The artificial intelligence models that turn text into images are also useful for generating new materials. Over the la…
George Tynan followed a nonlinear path to fusion. Following his undergraduate degree in aerospace engineering, Tynann…
This spring, J-PAL North America — a regional office of MIT’s Abdul Latif Jameel Poverty Action Lab (J-PAL) — launche…
Each year, the U.S. energy industry loses an estimated 3 percent of its natural gas production, valued at $1 billion i…
Artificial intelligence optimization offers a host of benefits for mechanical engineers, including faster and more accu…