New ‘deep learning’ technique enables robot mastery of skills via trial and error
UC Berkeley researchers have developed algorithms that enable robots to learn motor tasks through trial and error using a process that more closely approximates the way humans learn, marking a major milestone in the field of artificial intelligence.
Facebook AI Director Yann LeCun on His Quest to Unleash Deep Learning and Make Machines Smarter
Q&A with one of the people behind deep learning. Good details about machine learning.
Robots Learn by Watching Videos
Robots are able to learn the intricate grasping and manipulation movements required for cooking by watching online cooking videos.
Andrew Ng: Deep Learning, Self-Taught Learning and Unsupervised Feature Learning
45 min in-depth talk about “deep”, self-taught and unsupervised machine learning.