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Videos for Category Research (632)

Looking Deep in the Earth

Looking Deep in the Earth

EAPS

Added almost 2 years ago | 00:02:52 | 1700 views

Elizabeth Day is a postdoctoral associate in the Department of Earth, Atmospheric and Planetary Sciences (EAPS) at MIT. A deep-Earth seismologist, Day is particularly interested in the structure and behavior of the Earth's mantle. Workin...

McGovern 2013 Fall Symposium - Jisong Guan

McGovern 2013 Fall Symposium - Jiso...

McGovern Institute for Brain Research

Added almost 2 years ago | 00:32:20 | 640 views

McGovern 2013 Fall Symposium - Yichang Jia

McGovern 2013 Fall Symposium - Yich...

McGovern Institute for Brain Research

Added almost 2 years ago | 00:28:53 | 548 views

McGovern 2013 Fall Symposium - Lihong Wang

McGovern 2013 Fall Symposium - Liho...

McGovern Institute for Brain Research

Added almost 2 years ago | 00:35:17 | 641 views

McGovern 2013 Fall Symposium - Yulong Li

McGovern 2013 Fall Symposium - Yulo...

McGovern Institute for Brain Research

Added almost 2 years ago | 00:28:26 | 501 views

McGovern 2013 Fall Symposium - Kewei Wang

McGovern 2013 Fall Symposium - Kewe...

McGovern Institute for Brain Research

Added almost 2 years ago | 00:28:15 | 504 views

McGovern 2013 Fall Symposium - Liang Li

McGovern 2013 Fall Symposium - Lian...

McGovern Institute for Brain Research

Added almost 2 years ago | 00:31:53 | 793 views

McGovern 2013 Fall Symposium - Sheng Li

McGovern 2013 Fall Symposium - Shen...

McGovern Institute for Brain Research

Added almost 2 years ago | 00:31:05 | 917 views

McGovern 2013 Fall Symposium - Welcoming Remarks

McGovern 2013 Fall Symposium - Welc...

McGovern Institute for Brain Research

Added almost 2 years ago | 00:14:01 | 611 views

Yael Niv - Reinforcement Learning in the Brain (Part 2)

Yael Niv - Reinforcement Learning i...

Course 9.S912: Vision and learning - computers and brains Fall 2013

Added almost 2 years ago | 01:03:03 | 2102 views

One of the most influential contributions of machine learning to understanding the human brain is the (fairly recent) formulation of learning in real world tasks in terms of the computational framework of reinforcement learning. This con...

Yael Niv - Reinforcement Learning in the Brain  (Part 1)

Yael Niv - Reinforcement Learning i...

Course 9.S912: Vision and learning - computers and brains Fall 2013

Added almost 2 years ago | 01:20:29 | 2162 views

One of the most influential contributions of machine learning to understanding the human brain is the (fairly recent) formulation of learning in real world tasks in terms of the computational framework of reinforcement learning. This con...

Yann LeCun - Computer Perception with Deep Learning (Part 2)

Yann LeCun - Computer Perception wi...

Course 9.S912: Vision and learning - computers and brains Fall 2013

Added almost 2 years ago | 01:02:44 | 2929 views

Intelligent perceptual tasks such as vision and audition require the construction of good internal representations. Machine Learning has been very successful for producing classifiers, but the next big challenge for ML, computer vision, ...