Machine-learning system could aid critical decisions in sepsis care
Model predicts whether ER patients suffering from sepsis urgently need a change in therapy.
Model predicts whether ER patients suffering from sepsis urgently need a change in therapy.
Study identifies reasons for unsettled editing disagreements and offers predictive tools that could improve deliberation.
Opportunities and new challenges were at the forefront of discussions about the MIT Stephen A. Schwarzman College of Computing.
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.
MIT Energy Initiative Director Robert Armstrong offers his perspective on the takeaways from MITEI’s annual research conference.
Leaders from industry, academia, labor, government, foundations, and other organizations, as well as leading scholars in related fields, will provide guidance.
Neural network that securely finds potential drugs could encourage large-scale pooling of sensitive data.
$20 million gift names imaging suite in new facility, creates catalyst fund.
Machine-learning model provides risk assessment for complex nonlinear systems, including boats and offshore platforms.
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.
In simulations, robots move through new environments by exploring, observing, and drawing from learned experiences.