Helping robots collaborate to get the job done
Algorithm enables robot teams to complete missions, such as mapping or search-and-rescue, with minimal wasted effort.
New system cleans messy data tables automatically
With just 50 lines of code, the program spots and fixes likely errors.
SMART breakthrough uses artificial neural networks to enhance travel behavior research
Theory-based residual neural network combines discrete choice models and deep neural networks, long viewed as conflicting methods.
Media Advisory — MIT researchers: AI policy needed to manage impacts, build more equitable systems
On May 6 and 7, researchers from the AI Policy Forum will present their preliminary AI public policy proposals aimed at shaping specific and significant uses of AI in our lives.
With a zap of light, system switches objects’ colors and patterns
“Programmable matter” technique could enable product designers to churn out prototypes with ease.
Josh McDermott seeks to replicate the human auditory system
Computer models that mimic humans’ extraordinary hearing abilities could improve treatments for hearing loss.
Q&A: Vivienne Sze on crossing the hardware-software divide for efficient artificial intelligence
Her research focuses on more-efficient deep neural networks to process video, and more-efficient hardware to run applications.
Spencer Compton, Karna Morey, Tara Venkatadri, and Lily Zhang named 2021-22 Goldwater Scholars
Four MIT undergraduates whose research areas explore artificial intelligence, space, and climate change honored for their academic achievements.
MIT launches new data privacy-focused initiative
Future of Data, Trust, and Privacy initiative aims to address AI-driven analytics and changing attitudes about personal data.
Toward deep-learning models that can reason about code more like humans
Researchers propose a method for finding and fixing weaknesses in automated programming tools.
The MIT Press launches MIT Open Publishing Services
New publishing model provides unique and timely solutions to the production, curation, and preservation of knowledge.
Seeking the cellular mechanisms of disease, with help from machine learning
Caroline Uhler blends machine learning, statistics, and biology to understand how our bodies respond to illness.
A streamlined approach to determining thermal properties of crystalline solids and alloys
MIT research team finds machine learning techniques offer big advantages over standard experimental and theoretical approaches.
Tactile textiles sense movement via touch
By measuring a person’s movements and poses, smart clothes developed at MIT CSAIL could be used for athletic training, rehabilitation, or health-monitoring for elder-care facilities.
System detects errors when medication is self-administered
Wireless sensing technology could help improve patients’ technique with inhalers and insulin pens.