Behind Covid-19 vaccine development
A machine learning model developed jointly by Janssen and MIT data scientists played a key role in the clinical trial process for the Johnson & Johnson Covid-19 vaccine.
Using machine learning to predict high-impact research
DELPHI, an artificial intelligence framework, can give an “early-alert” signal for future key technologies by learning from patterns gleaned from previous scientific publications.
Crowdsourcing data on road quality and excess fuel consumption
MIT researchers are using smartphones to gather roadway information previously inaccessible to many departments of transportation.
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.
Turning technology against human traffickers
Lincoln Laboratory connects counter–human trafficking community in pursuit of technology to help investigate cases.
A robot that can help you untangle your hair
Robotic arm equipped with a hairbrush helps with brushing tasks and could be an asset in assistive-care settings.
Nano flashlight enables new applications of light
Design of miniature optical systems could lead to future cell phones that can detect viruses and more.
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.