3 Questions: Iyad Rahwan on the “psychological roadblocks” facing self-driving cars
MIT Media Lab professor considers the trust gap between people and autonomous vehicles.
How neural networks think
General-purpose technique sheds light on inner workings of neural nets trained to process language.
3Q: Anantha Chandrakasan on new MIT–IBM Watson AI Lab
Lab seeks to expand the boundaries of research on artificial intelligence.
IBM and MIT to pursue joint research in artificial intelligence, establish new MIT-IBM Watson AI Lab
IBM plans to make a 10-year, $240 million investment in new lab with MIT to advance AI hardware, software, and algorithms.
Two sciences tie the knot
A new major combining computer science and economics will prepare students for designing the virtual marketplaces of the future.
Robot learns to follow orders like Alexa
ComText, from the Computer Science and Artificial Intelligence Laboratory, allows robots to understand contextual commands.
Custom robots in a matter of minutes
CSAIL’s “Interactive Robogami” lets you design and 3-D print origami-inspired robots from 2-D designs.
Using machine learning to improve patient care
New CSAIL research employs many types of medical data, including electronic health records, to predict outcomes in hospitals.
Automatic image retouching on your phone
System can apply a range of styles in real-time, so that the viewfinder displays the enhanced image.
Artificial intelligence suggests recipes based on food photos
Given a still image of a dish filled with food, CSAIL team's deep-learning algorithm recommends ingredients and recipes.
Bringing neural networks to cellphones
Method for modeling neural networks’ power consumption could help make the systems portable.
Miniaturizing the brain of a drone
Method for designing efficient computer chips may get miniature smart drones off the ground.
Why do some neighborhoods improve?
Density of highly educated residents, rather than income or housing costs, predicts revitalization.
Peering into neural networks
New technique helps elucidate the inner workings of neural networks trained on visual data.
Q&A: Running a company in an era of “crazy technological progress”
New book by Andrew McAfee and Erik Brynjolfsson surveys tech’s challenges for business.