The potential of artificial intelligence to bring equity in health care
Nearly 1,400 joined the AI for Health Care Equity Conference that explored new AI technologies as a platform for change.
Taking an indirect path into a bright future
Matthew Johnston ’20 uses physics and baseball skills to get remote villages on the grid.
Artificial intelligence system could help counter the spread of disinformation
Built at MIT Lincoln Laboratory, the RIO program automatically detects and analyzes social media accounts that spread disinformation across a network.
New algorithms show accuracy, reliability in gauging unconsciousness under general anesthesia
Machine learning software advances could help anesthesiologists optimize drug dose.
There’s a symphony in the antibody protein the body makes to neutralize the coronavirus
Professor Markus Buehler composed it, and a South Korean orchestra performed it; it’s the latest in a series of artistic collaborations sparked by Buehler’s exploration of the structure of SARS-CoV-2.
Improving the way videos are organized
Netra, co-founded by Shashi Kant SM ’06, uses artificial intelligence to help companies sort and manage video content.
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.
Helping students of all ages flourish in the era of artificial intelligence
Responsible AI for Social Empowerment and Education (RAISE) seeks to empower more people to participate in, and benefit from, AI.
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.
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.
Turning technology against human traffickers
Lincoln Laboratory connects counter–human trafficking community in pursuit of technology to help investigate cases.
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.