How symmetry can come to the aid of machine learning
Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.
Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.
The MIT professor emerita and pioneering molecular biologist is being honored for her advocacy for women in science.
State-of-the-art toolset will bridge academic innovations and industry pathways to scale for semiconductors, microelectronics, and other critical technologies.
The ambient light sensors responsible for smart devices’ brightness adjustments can capture images of touch interactions like swiping and tapping for hackers.
Faculty and researchers across MIT’s School of Engineering receive many awards in recognition of their scholarship, service, and overall excellence.
Twelve researchers selected as finalists for 2023-24 MIT-Royalty Pharma Prize Competition to support female entrepreneurs in biotech.
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.
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.
An interdisciplinary team of researchers thinks health AI could benefit from some of the aviation industry’s long history of hard-won lessons that have created one of the safest activities today.
MIT Electric Vehicle Team builds a unique hydrogen fuel cell–powered electric motorcycle.
A multimodal system uses models trained on language, vision, and action data to help robots develop and execute plans for household, construction, and manufacturing tasks.
The diagnostic, which requires only a simple urine test to read the results, could make lung cancer screening more accessible worldwide.