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Videos for Category Research (619)

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 5 months ago | 01:20:29 | 599 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 5 months ago | 01:02:44 | 418 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, ...

Yann LeCun - Computer Perception with Deep Learning (Part 1)

Yann LeCun - Computer Perception wi...

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

Added 5 months ago | 01:35:02 | 502 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, ...

Shihab Shamma - Cortical Processes for Navigating Complex Acoustic Environments (Part 2)

Shihab Shamma - Cortical Processes ...

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

Added 5 months ago | 01:32:52 | 436 views

Humans and other animals can attend to one of multiple sounds, and follow it selectively over time. The neural underpinnings of this perceptual feat are the object of extensive investigations. Some studies have concluded that sounds are ...

Shihab Shamma - Cortical Processes for Navigating Complex Acoustic Environments (Part 1)

Shihab Shamma - Cortical Processes ...

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

Added 5 months ago | 00:57:34 | 599 views

Humans and other animals can attend to one of multiple sounds, and follow it selectively over time. The neural underpinnings of this perceptual feat are the object of extensive investigations. Some studies have concluded that sounds are ...

EAPS in Brief: Geology Professor Oliver Jagoutz

EAPS in Brief: Geology Professor Ol...

EAPS

Added 5 months ago | 00:03:06 | 211 views

Oliver Jagoutz is an Assistant Professor of Geology concerned with the origin and evolution of the lithosphere. Favoring addressing scientific questions by a multidisciplinary approach, his research includes field work, petrology, isotop...

Lifting the Lid on the Search for Life on Mars

Lifting the Lid on the Search for L...

EAPS

Added 5 months ago | 00:04:23 | 226 views

Christopher Carr is an EAPS research scientist based at the Massachusetts General Hospital (MGH) where he carries out research as part of the Search for Extra Terrestrial Genomes Project (SETG). Among his scientific interests are the ada...

SOLUTIONS with/in/sight: Women on the Front Lines in the Fight Against Cancer

SOLUTIONS with/in/sight: Women on t...

The David H. Koch Institute for Integrative Cancer Research @MIT

Added 6 months ago | 01:21:59 | 339 views

October 29, 2013, 6:00 p.m. Bringing together leaders in research, industry, clinical care, and patient advocacy, this program showcases bold approaches to fight cancer. Biocon CEO Kiran Mazumder-Shaw went from brewer to biotechnology ic...

Andrew Barto - Computational Reinforcement Learning: An Introduction (Part 2)

Andrew Barto - Computational Reinfo...

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

Added 6 months ago | 01:34:21 | 378 views

Reinforcement Learning (RL) is a collection of computational approaches to learning in which agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. It is an active research ...

Andrew Barto - Computational Reinforcement Learning: An Introduction (Part 1)

Andrew Barto - Computational Reinfo...

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

Added 6 months ago | 00:47:29 | 356 views

Reinforcement Learning (RL) is a collection of computational approaches to learning in which agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. It is an active research ...

Dan Nocera, "The Legacy and Portent of Photosynthesis"

Dan Nocera, "The Legacy and Portent...

MIT Architecture - SMArchS Colloquium Fall 2013

Added 6 months ago | 01:38:02 | 566 views

Daniel G. Nocera (former Drefus Professor of Chemistry at MIT) is currently Patterson Rockwall Professor of Energy at the Department of Chemistry and Chemical Biology at Harvard, where he runs the Nocera Lab: The Chemistry of Renewable E...

Chris Nagel, "Light: The Architect of Matter"

Chris Nagel, "Light: The Architect ...

MIT Architecture - SMArchS Colloquium Fall 2013

Added 6 months ago | 00:56:06 | 1068 views

Chris Nagel heads an independent lab that researches the fundamental physics of matter (especially metals) in its relation to energy (light). His undergraduate degree was in Chemical Engineering from Michigan TU and he began his career a...