Programming drones to fly in the face of uncertainty
CSAIL's NanoMap system enables drones to avoid obstacles while flying at 20 miles per hour, by more deeply integrating sensing and control.
Institute launches the MIT Intelligence Quest
New Institute-wide initiative will advance human and machine intelligence research.
Designing vehicle-sharing networks
Graduate student Tianli Zhou works to make transportation systems more efficient.
Location detection when GPS doesn’t work
Theoretical study shows how to make wireless localization much more accurate.
Inventing the “Google” for predictive analytics
Platform analyzes big data to answer plain-language business queries in minutes instead of months.
Calculating the cost of tech-fueled discrimination
Math graduate student’s Data for Black Lives conference provides numbers behind the technologies that enable exclusion.
MIT Lincoln Laboratory earns six R&D 100 Awards for 2017
Technologies named among the year's most significant innovations address health care, radar performance, aircraft collision avoidance, and 24-hour wide-area surveillance.
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.
Scientists demonstrate one of largest quantum simulators yet, with 51 atoms
New technique manipulates atoms into antiferromagnetic state.
Chasing complexity
Ryan Williams has taken a key step toward solving the biggest problem in theoretical computer science.
Let your car tell you what it needs
MIT team develops software that can tell if tires need air, spark plugs are bad, or air filter needs replacing.
An algorithm for your blind spot
Using smartphone cameras, system for seeing around corners could help with self-driving cars and search-and-rescue.