Model predicts whether ER patients suffering from sepsis urgently need a change in therapy.
New system may open up the world’s roughly 7,000 spoken languages to computer-based translation.
Neural network that securely finds potential drugs could encourage large-scale pooling of sensitive data.
Deep-learning model has been used successfully on patients, may lead to more consistent screening procedures.
Cryptography techniques to screen synthetic DNA could help prevent the creation of dangerous pathogens, argues Professor Kevin Esvelt.
Learners from around the globe now have enhanced access to “blended” master’s programs at MIT and elsewhere.
David Simchi-Levi discusses insights from recent research in collaboration with some of the world's largest retailers.
Laboratory for Information and Decision Systems alumnus and CSAIL lecturer Jehangir Amjad uses statistical methods to predict likely outcomes with limited data.