Undergraduates explore practical applications of artificial intelligence
SuperUROP scholars apply deep learning to improve accuracy of climate models, profitably match computers in the cloud with customers, and more.
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.
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.
One-stop machine learning platform turns health care data into insights
Cardea software system aims to bring the power of prediction to hospitals by streamlining complex machine learning processes.
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.
Faster drug discovery through machine learning
New technique speeds up calculations of drug molecules’ binding affinity to proteins.
After cracking the “sum of cubes” puzzle for 42, mathematicians discover a new solution for 3
The 21-digit solution to the decades-old problem suggests many more solutions exist.
Algorithm helps artificial intelligence systems dodge “adversarial” inputs
Method builds on gaming techniques to help autonomous vehicles navigate in the real world, where signals may be imperfect.
Retrofitting MIT’s deep learning “boot camp” for the virtual world
With technology new and old, instructors try to recreate the interactivity of their pre-Covid classroom.
Researchers virtually open and read sealed historic letters
History unfolds as an interdisciplinary research team uses computational tools to examine the contents of “locked” letters.
3 Questions: Devavrat Shah on curbing online misinformation
Expert in social data processing proposes adjusting newsfeed algorithms to better mimic real-life interactions.
Driving on the cutting edge of autonomous vehicle tech
Leveraging research done on campus, student-run MIT Driverless partners with industry collaborators to develop and test autonomous technologies in real-world racing scenarios.
Researchers develop speedier network analysis for a range of computer hardware
The advance could boost recommendation algorithms and internet search.
Less-wasteful laser-cutting
Fabricaide, developed at MIT CSAIL, provides live design feedback to help users reduce leftover material.