Wristband enables wearers to control a robotic hand with their own movements
By moving their hands and fingers, users can direct a robot to play piano or shoot a basketball, or they can manipulate objects in a virtual environment.
By moving their hands and fingers, users can direct a robot to play piano or shoot a basketball, or they can manipulate objects in a virtual environment.
This award-winning startup with roots at the MIT Energy Initiative is developing lightweight, flexible, high-efficiency solar energy films designed to be used on roofs, walls, and any curved surface.
An MIT-led team is designing artificial intelligence systems for medical diagnosis that are more collaborative and forthcoming about uncertainty.
The portable “ChromoLCD” device combines LCD and LED lighting to customize high-quality designs onto things like shirts and whiteboards.
Participants learn how laser “fingerprinting” can help identify materials in fields ranging from law enforcement to art restoration.
SMART breakthrough offers a promising pathway toward improved manufacturing of high‑quality cells for regenerative therapies to treat joint diseases.
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.
This new metric for measuring uncertainty could flag hallucinations and help users know whether to trust an AI model.
Fourth Power, founded by Professor Asegun Henry, is developing thermal batteries for efficiently storing excess electricity from utility grids and power producers.
The newly created role will shape the infrastructure needed to nurture the school’s growing research goals.
Academia-industry relationship is an early-stage accelerator, supporting professional progress and research.
MIT researchers uncovered the roles of bacterial species from the environment as they consume biodegradable plastic.
The technology could enable fast, point-of-care diagnoses for pneumonia and other lung conditions.
PhD student Audrey Parker studies methane mitigation strategies in dairy farms and coal mines, to reduce emissions of the potent greenhouse gas.
Researchers at MIT, Mass General Brigham, and Harvard Medical School developed a deep-learning model to forecast a patient’s heart failure prognosis up to a year in advance.