A roundup of MIT student research projects offers a glimpse of where computing is going next.
In a study that might enable earlier diagnosis, neuroscientists find abnormal brain connections that can predict onset of psychotic episodes.
Neuroscientists discover a circuit that helps redirect attention to focus on potential threats.
Model predicts whether ER patients suffering from sepsis urgently need a change in therapy.
Computer model could improve human-machine interaction, provide insight into how children learn language.
New system may open up the world’s roughly 7,000 spoken languages to computer-based translation.
Mahdi Ramadan and Alexi Choueiri’s common experiences as Lebanese evacuees led both to study the human brain at MIT.
MIT Energy Initiative Director Robert Armstrong offers his perspective on the takeaways from MITEI’s annual research conference.
Massive global survey reveals ethics preferences and regional differences.
Neural network that securely finds potential drugs could encourage large-scale pooling of sensitive data.
Neurons in human and rat brains carry electrical signals in different ways, scientists find.
$20 million gift names imaging suite in new facility, creates catalyst fund.
Deep-learning model has been used successfully on patients, may lead to more consistent screening procedures.
Gift of $350 million establishes the MIT Stephen A. Schwarzman College of Computing, an unprecedented, $1 billion commitment to world-changing breakthroughs and their ethical application.
Community event generates ideas for sparking innovative and ambitious plans to advance research in human and machine intelligence.
Program users can tinker with landing and path planning scenarios to identify optimal landing sites for Mars rovers.
Inaugural director of The Quest discusses what's been accomplished since last spring's launch and what is on the horizon.
Inspired by its tradition of leadership in the fields of artificial intelligence and biological intelligence, MIT has established new Institute-wide efforts committed to the convergence of science and engineering on the problem of intelligence.
Abdul Latif Jameel Clinic for Machine Learning in Health at MIT aims to revolutionize disease prevention, detection, and treatment
A key part of the MIT Quest for Intelligence, J-Clinic builds on MIT expertise across multiple scientific disciplines.
Machine learning system efficiently recognizes activities by observing how objects change in only a few key frames.
Up to 100 Quest-funded UROP projects aim to crack the code of human and machine intelligence.
Neural network learns speech patterns that predict depression in clinical interviews.
By training on patients grouped by health status, neural network can better estimate if patients will die in the hospital.
Interdisciplinary work will advance research in human and machine intelligence.
Faculty from across the Institute tapped to lead new initiative in human and machine intelligence.
Neural network could expedite complex physics simulations.
At the MIT-IBM Watson AI Lab, researchers are training computers to recognize dynamic events.
Alliance will be part of new MIT Intelligence Quest.