Alumni call on MIT to champion artificial intelligence education
Leadership urged to consider societal and ethical questions alongside the technical.
Eric Schmidt to join MIT as visiting innovation fellow
Former Google leader offers insights of a storied career to MIT’s entrepreneurial community
3Q: Daron Acemoglu on technology and the future of work
"We need to look to the past in the face of modern innovations in machine learning, robotics, artificial intelligence, big data, and beyond," says the economist.
Institute launches the MIT Intelligence Quest
New Institute-wide initiative will advance human and machine intelligence research.
Play Labs accelerator announces second annual open call for submissions
Digital currency and blockchain technology added to this year’s list of “playful tech” eligible startups.
Bots that talk more like people
AI platform allows chatbots to draw on robust language database to better navigate human conversation.
Engineers design artificial synapse for “brain-on-a-chip” hardware
Design is major stepping stone toward portable artificial-intelligence devices.
3Q: D. Fox Harrell on his video game for the #MeToo era
The computer scientist’s group has designed a game that gets players to reflect on sexual misconduct in the workplace.
Can computers help us synthesize new materials?
Machine-learning system finds patterns in materials “recipes,” even when training data is lacking.
Unlocking marine mysteries with artificial intelligence
Students put their AI software for underwater vehicles to the test on the Charles River.
Computer systems predict objects’ responses to physical forces
Results may help explain how humans do the same thing.
Reading a neural network’s mind
Technique illuminates the inner workings of artificial-intelligence systems that process language.
Try this! Researchers devise better recommendation algorithm
Improved recommendation algorithm should work especially well when ratings data are “sparse.”
Building the hardware for the next generation of artificial intelligence
Class taught by Vivienne Sze and Joel Emer brings together traditionally separate disciplines for advances in deep learning.