Artificial networks learn to smell like the brain
When asked to classify odors, artificial neural networks adopt a structure that closely resembles that of the brain’s olfactory circuitry.
When asked to classify odors, artificial neural networks adopt a structure that closely resembles that of the brain’s olfactory circuitry.
A new machine-learning system costs less, generates less waste, and can be more innovative than manual discovery methods.
A certain type of artificial intelligence agent can learn the cause-and-effect basis of a navigation task during training.
Wise Systems has grown from an MIT class project to a company helping multinationals improve last-mile logistics.
A deep model was trained on historical crash data, road maps, satellite imagery, and GPS to enable high-resolution crash maps that could lead to safer roads.
Researchers hope more user-friendly machine-learning systems will enable nonexperts to analyze big data — but can such systems ever be completely autonomous?
The transaction-based communications system ensures robot teams achieve their goal even if some robots are hacked.
This robotic arm fuses data from a camera and antenna to locate and retrieve items, even if they are buried under a pile.
Scientists employ an underused resource — radiology reports that accompany medical images — to improve the interpretive abilities of machine learning algorithms.
MIT scientists show how fast algorithms are improving across a broad range of examples, demonstrating their critical importance in advancing computing.
MIT Haystack Observatory will be part of the new radio spectrum management and coordination center.
MIT professors Dave Des Marais and Caroline Uhler combine plant biology and machine learning to identify genetic roots of plant responses to environmental stress.
PhD student Heng Yang is developing algorithms to help driverless vehicles quickly and accurately assess their surroundings.
New chip eliminates the need for specific decoding hardware, could boost efficiency of gaming systems, 5G networks, the internet of things, and more.
MIT professor is designing the next generation of smart wireless devices that will sit in the background, gathering and interpreting data, rather than being worn on the body.