Computational tool from MIT CSAIL enables color-changing cellulose-based designs for data visualization, education, fashion, and more.

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

A new system enables makers to incorporate sensors into gears and other rotational mechanisms with just one pass in a 3D printer.

Codon compiles Python code to run more efficiently and effectively while allowing for customization and adaptation to various domains.

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

Aided by machine learning, scientists are working to develop a vaccine that would be effective against all SARS-Cov-2 strains.

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.

A new study shows how large language models like GPT-3 can learn a new task from just a few examples, without the need for any new training data.

A new tool brings the benefits of AI programming to a much broader class of problems.