Associate Professor Tamara Broderick and colleagues build a “taxonomy of trust” to identify where in data analysis processes confidence in its results might break down.

New LiGO technique accelerates training of large machine-learning models, reducing the monetary and environmental cost of developing AI applications.

Careful planning of charging station placement could lessen or eliminate the need for new power plants, a new study shows.

Researchers use machine learning to build faster and more efficient hash functions, which are a key component of databases.

MIT researchers trained logic-aware language models to reduce harmful stereotypes like gender and racial biases.

The Advanced Computing Users Survey, sampling sentiments from 120 top-tier universities, national labs, federal agencies, and private firms, finds the decline in America’s advanced computing lead spans many areas.

The chip, which can decipher any encoded signal, could enable lower-cost devices that perform better while requiring less hardware.

Analyses show stakeholders of all levels must get involved in decarbonizing pavements to reach climate goals.

A wireless technique enables a super-cold quantum computer to send and receive data without generating too much error-causing heat.

The receiver chip efficiently blocks signal interference that slows device performance and drains batteries.