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.
An MIT development could benefit both the environment and human health.
Stacy Springs and Shannon Stewart identify trends related to U.S. research and development funding and policy.
Nanotube “forest” in a microfluidic channel may help detect rare proteins and viruses.
New techniques for building microelectromechanical systems show promise.
Interest is growing in brain stimulation devices — and regulating them may prove tricky.
Panel at MIT brings together editors, students, and faculty to discuss diverse aspects of publishing research.
Neuroscientists link autism to reduced activity of key neurotransmitter in human brain.
Is online learning truly opening as many doors as anticipated?
For the first time, scientists identify a neural population highly selective for music.
Future versions of an algorithm from the Computer Science and Artificial Intelligence Lab could help with teaching, marketing, and memory improvement.
Study offers new targets for drugs that may prevent cancer from spreading.
Biological engineering major pursues collaborations that have broad impact for society.
PhD student Yiqing Xu applies new methodology for better insight into the Chinese political economy.