Learning to grow machine-learning models
New LiGO technique accelerates training of large machine-learning models, reducing the monetary and environmental cost of developing AI applications.
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.
“Introduction to Physical Computing for Artists” at the MIT Student Art Association teaches students to use circuits, wiring, motors, sensors, and displays by developing their own kinetic artworks.
The second annual student-industry conference was held in-person for the first time.
MIT researchers trained logic-aware language models to reduce harmful stereotypes like gender and racial biases.