Learner in Afghanistan reaches beyond barriers to pursue career in data science
MIT ReACT and Innovation Leadership Bootcamp provide valuable opportunities.
Miniscule device could help preserve the battery life of tiny sensors
Researchers demonstrate a low-power “wake-up” receiver one-tenth the size of other devices.
AI system can generate novel proteins that meet structural design targets
These tunable proteins could be used to create new materials with specific mechanical properties, like toughness or flexibility.
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 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.
An interdisciplinary approach to fighting climate change through clean energy solutions
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.
Benoit Forget named head of the Department of Nuclear Science and Engineering
Expert in computational reactor physics to succeed Professor Anne White as department head.
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.
New algorithm keeps drones from colliding in midair
Researchers create a trajectory-planning system that enables drones working together in the same airspace to always choose a safe path forward.
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.