Machines that learn like people
Algorithms could learn to recognize objects from a few examples, not millions; may better model human cognition.
Algorithms could learn to recognize objects from a few examples, not millions; may better model human cognition.
Future versions of an algorithm from the Computer Science and Artificial Intelligence Lab could help with teaching, marketing, and memory improvement.
Combining MRI and other data helps machine-learning systems predict effects of neurodegenerative disease.
Giving machine-learning systems “partial credit” during training improves image classification.
System learns to play text-based computer game using only linguistic information.
Startup’s platform analyzes data from multiple sources to better predict buying preferences.
System designed to label visual scenes according to type turns out to detect particular objects, too.
Kalyan Veeramachaneni tackles some of the biggest bottlenecks holding back the data science industry.
New algorithm could enable household robots to better identify objects in cluttered environments.
New system enables pattern-recognition systems to convey what they learn to humans.
CSAIL/LIDS team's algorithm doubles initial investment in under two months.
Deep-learning algorithm can weigh up a neighborhood better than humans.
When you can’t collect all the data you need, a new algorithm tells you which to target.