A prosthesis driven by the nervous system helps people with amputation walk naturally
A new surgical procedure gives people more neural feedback from their residual limb. With it, seven patients walked more naturally and navigated obstacles.
A new surgical procedure gives people more neural feedback from their residual limb. With it, seven patients walked more naturally and navigated obstacles.
The newly synthesized material could be the basis for wearable thermoelectric and spintronic devices.
These models, which can predict a patient’s race, gender, and age, seem to use those traits as shortcuts when making medical diagnoses.
Using this new approach, researchers could develop drug compounds with unique pharmaceutical properties.
A new gene-silencing tool shows promise as a future therapy against prion diseases and paves the way for new approaches to treating disease.
Known for building connections between the social sciences, data science, and computation, the political science professor will lead IDSS into its next chapter.
This novel circuit architecture cancels out unwanted signals at the earliest opportunity.
New findings could help engineers design materials for light and heat management.
The building will serve as a hub for research on the development of immunology-based treatments.
MIT researchers find wave activity on Saturn’s largest moon may be strong enough to erode the coastlines of lakes and seas.
This technique could lead to safer autonomous vehicles, more efficient AR/VR headsets, or faster warehouse robots.
Three innovations by an MIT-based team enable high-resolution, high-throughput imaging of human brain tissue at a full range of scales, and mapping connectivity of neurons at single-cell resolution.
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.
Combining natural language and programming, the method enables LLMs to solve numerical, analytical, and language-based tasks transparently.