An easier way to get bugs out of programming languages
Developed at MIT, D2X is a new tool that makes it easy to debug any domain-specific programming language.
Developed at MIT, D2X is a new tool that makes it easy to debug any domain-specific programming language.
Set to retire this spring, Staton has made an indelible mark on graduate student living and learning over a quarter century at the Institute.
Principal Research Scientist Audun Botterud tackles a range of cross-cutting problems — from energy market interactions to designing batteries — to get closer to a decarbonized power grid.
Expert in computational reactor physics to succeed Professor Anne White as department head.
Award is given each year by the School of Engineering to an outstanding educator up for promotion to associate professor without tenure.
The three-fingered robotic gripper can “feel” with great sensitivity along the full length of each finger – not just at the tips.
“DribbleBot” can maneuver a soccer ball on landscapes such as sand, gravel, mud, and snow, using reinforcement learning to adapt to varying ball dynamics.
MIT researchers built DiffDock, a model that may one day be able to find new drugs faster than traditional methods and reduce the potential for adverse side effects.
With the right building blocks, machine-learning models can more accurately perform tasks like fraud detection or spam filtering.
Eleven new faculty members join six of the school's academic departments and institutes.
Researchers create a trajectory-planning system that enables drones working together in the same airspace to always choose a safe path forward.
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.