Benchtop test quickly identifies extremely impact-resistant materials
High-speed experiments can help identify lightweight, protective “metamaterials” for spacecraft, vehicles, helmets, or other objects.
High-speed experiments can help identify lightweight, protective “metamaterials” for spacecraft, vehicles, helmets, or other objects.
Faculty and researchers across MIT’s School of Engineering receive many awards in recognition of their scholarship, service, and overall excellence.
The award recognizes Solomon’s contributions to understanding ozone depletion and the creation of the Montreal Protocol.
Twelve researchers selected as finalists for 2023-24 MIT-Royalty Pharma Prize Competition to support female entrepreneurs in biotech.
Atacama Biomaterials, co-founded by Paloma Gonzalez-Rojas SM ’15, PhD ’21, combines architecture, machine learning, and chemical engineering to create eco-friendly materials.
Developed by MIT engineers, the model could be a tool for designers looking to innovate in sneaker design.
Although artificial intelligence in health has shown great promise, pressure is mounting for regulators around the world to act, as AI tools demonstrate potentially harmful outcomes.
Senior and MIT Crew member Tatum Wilhelm balances her chemical engineering and anthropology studies with early mornings on the Charles River.
To make the new entertainment venue a reality, Jared Miller ’98, MBA ’03, SM ’03 assembled a team that reflected his experience at MIT.
A compound originally developed to treat cancer could be repurposed to treat polycystic kidney disease, an inherited condition that can lead to kidney failure.
From robotics to dance, the MIT senior has made it his mission to explore as many new experiences as possible at the Institute.
The advance makes it easier to detect circulating tumor DNA in blood samples, which could enable earlier cancer diagnosis and help guide treatment.
MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.
PhD students interning with the MIT-IBM Watson AI Lab look to improve natural language usage.
A system designed at MIT could allow sensors to operate in remote settings, without batteries.