Strengthening trust in machine-learning models
Associate Professor Tamara Broderick and colleagues build a “taxonomy of trust” to identify where confidence in the results of a data analysis might break down.
Associate Professor Tamara Broderick and colleagues build a “taxonomy of trust” to identify where confidence in the results of a data analysis might break down.
Computational tool from MIT CSAIL enables color-changing cellulose-based designs for data visualization, education, fashion, and more.
CSAIL research affiliate and MIT Corporation life member emeritus is honored with the “Nobel Prize of computing” for Ethernet invention.
New LiGO technique accelerates training of large machine-learning models, reducing the monetary and environmental cost of developing AI applications.
The teams will work toward sustainable microchips and topological materials as well as socioresilient materials design.
Financial aid support remains strong, offsetting a 3.75 percent rise in tuition, and changes to housing, dining, and other costs.
A new system enables makers to incorporate sensors into gears and other rotational mechanisms with just one pass in a 3D printer.
New repair techniques enable microscale robots to recover flight performance after suffering severe damage to the artificial muscles that power their wings.
Careful planning of charging station placement could lessen or eliminate the need for new power plants, a new study shows.
Codon compiles Python code to run more efficiently and effectively while allowing for customization and adaptation to various domains.
By keeping data fresh, the system could help robots inspect buildings or search disaster zones.
Researchers used machine learning to build faster and more efficient hash functions, which are a key component of databases.
Aleksander Mądry urges lawmakers to ask rigorous questions about how AI tools are being used by corporations.
The computer science and philosophy double-major aims to advance the field of AI ethics.
Aided by machine learning, scientists are working to develop a vaccine that would be effective against all SARS-CoV-2 strains.