From group stretches to “Hitting Roman,” MIT Motorsports traditions live on
The Chan siblings reflect on their Motorsports experience, eight years apart.
The Chan siblings reflect on their Motorsports experience, eight years apart.
These models, which can predict a patient’s race, gender, and age, seem to use those traits as shortcuts when making medical diagnoses.
By designing new tools that can analyze huge libraries of immune cells and their targets, Michael Birnbaum hopes to generate better T cell therapies for cancer and other diseases.
Using this new approach, researchers could develop drug compounds with unique pharmaceutical properties.
Films produced by MIT Video Productions and the Department of Mechanical Engineering highlight some of MIT’s global conversations about the environment and climate change.
This novel circuit architecture cancels out unwanted signals at the earliest opportunity.
New findings could help engineers design materials for light and heat management.
VEIR, founded by alumnus Tim Heidel, has developed technology that can move more power over long distances, with the same footprint as traditional lines.
With NASA planning permanent bases in space and on the moon, MIT students develop prototypes for habitats far from planet Earth.
MosaicML, co-founded by an MIT alumnus and a professor, made deep-learning models faster and more efficient. Its acquisition by Databricks broadened that mission.
A newly described technology improves the clarity and speed of using two-photon microscopy to image synapses in the living brain.
The program focused on AI in health care, drawing on Takeda’s R&D experience in drug development and MIT’s deep expertise in AI.
Graduate engineering program is No. 1 in the nation; MIT Sloan is No. 5.
LLMs trained primarily on text can generate complex visual concepts through code with self-correction. Researchers used these illustrations to train an image-free computer vision system to recognize real photos.
The SPARROW algorithm automatically identifies the best molecules to test as potential new medicines, given the vast number of factors affecting each choice.