A step toward personalized, automated smart homes
System that automatically identifies people moving around indoors could enable self-adjusting homes.
System that automatically identifies people moving around indoors could enable self-adjusting homes.
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.
Professors Daniel Harlow, Aram Harrow, Hong Liu, and Jesse Thaler among the first recipients of new honor for advances in quantum understanding.
Cryptography techniques to screen synthetic DNA could help prevent the creation of dangerous pathogens, argues Professor Kevin Esvelt.
In simulations, robots move through new environments by exploring, observing, and drawing from learned experiences.
Machine learning system aims to determine if an information outlet is accurate or biased.
MIT experts are among co-authors calling for ballot paper trails and other resilient practices to avoid election hacking.
Model extracts granular behavioral patterns from transaction data to more accurately flag suspicious activity.
Model learns to pick out objects within an image, using spoken descriptions.
Machine learning system efficiently recognizes activities by observing how objects change in only a few key frames.
Model from MIT Lincoln Laboratory Intelligence and Decision Technologies Group sets a new standard for understanding how a neural network makes decisions.