Startup aims to transform the power grid with superconducting transmission lines
VEIR, founded by alumnus Tim Heidel, has developed technology that can move more power over long distances, with the same footprint as traditional lines.
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.
Leuko, founded by a research team at MIT, is giving doctors a noninvasive way to monitor cancer patients’ health during chemotherapy — no blood tests needed.
Combining natural language and programming, the method enables LLMs to solve numerical, analytical, and language-based tasks transparently.
In “Scientific InQueery,” LGBTQ+ MIT faculty and graduate students describe finding community and living their authentic lives in the research enterprise.
MIT scientists honored in each of the three Kavli Prize categories: neuroscience, nanoscience, and astrophysics, respectively.
The method uses language-based inputs instead of costly visual data to direct a robot through a multistep navigation task.
DenseAV, developed at MIT, learns to parse and understand the meaning of language just by watching videos of people talking, with potential applications in multimedia search, language learning, and robotics.
The technique characterizes a material’s electronic properties 85 times faster than conventional methods.