Moving perovskite advancements from the lab to the manufacturing floor
U.S. Department of Energy selects MIT to establish collaborative research center for optimizing the development of tandem solar modules.
Department
Electrical Engineering and Computer Science
Ellen Roche and Justin Solomon named Edgerton Award winners
The award recognizes exceptional distinction in teaching, research, and service at MIT.
Drones navigate unseen environments with liquid neural networks
MIT researchers exhibit a new advancement in autonomous drone navigation, using brain-inspired liquid neural networks that excel in out-of-distribution scenarios.
Yael Tauman Kalai PhD ’06 awarded 2022 ACM Prize in Computing
The MIT EECS adjunct associate professor and CSAIL member has been recognized for her outstanding contributions to cryptography.
MIT PhD students honored for their work to solve critical issues in water and food
Gokul Sampath and Jie Yun have been named 2023-24 J-WAFS Fellows.
MIT CSAIL researchers discuss frontiers of generative AI
Experts convene to peek under the hood of AI-generated code, language, and images as well as its capabilities, limitations, and future impact.
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.
Jacob Andreas and Mingda Li honored with Junior Bose Award for Excellence in Teaching
Award is given each year by the School of Engineering to an outstanding educator up for promotion to associate professor without tenure.
Robotic hand can identify objects with just one grasp
The three-fingered robotic gripper can “feel” with great sensitivity along the full length of each finger – not just at the tips.
A four-legged robotic system for playing soccer on various terrains
“DribbleBot” can maneuver a soccer ball on landscapes such as sand, gravel, mud, and snow, using reinforcement learning to adapt to varying ball dynamics.
Speeding up drug discovery with diffusion generative models
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.
A method for designing neural networks optimally suited for certain tasks
With the right building blocks, machine-learning models can more accurately perform tasks like fraud detection or spam filtering.
Learning to design with atoms and molecules
A hands-on class teaches undergraduates the fundamentals of quantum mechanics and nanoscale science from inside MIT.nano’s cleanroom.
School of Engineering welcomes new faculty
Eleven new faculty members join six of the school's academic departments and institutes.
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.