Duke Neuroscientist's guest appearances

Duke Neuroscientist

Appetite for Disruption:  The Business and Regulation of FinTech

Naval Ravikant

Melanie Mitchell

Amir Haleem

Hester Peirce

Sylvester Johnson

Matt Levine

Balaji Srinivasan

Samantha Radocchia

Stina Ehrensvard

Mike Novogratz

Mike Belshe

Jon Clark

Rana Gujral

William Rhind

Roman Ginis

OwlTail

Dale Purves

As Dale explains it, our brains have been practicing how to respond to stimuli for millennia. While humans have been around longer than computers, computers can “practice” harder and longer than humans can. And so, through practice, computers can get really good at what they do really quickly. Interestingly, according to Dale, different computers may learn differently, and so machine learning may yield different results by different computers – sort of like how different people learn differently and thus make different decisions. Where will it all lead? Troy and Lee’s wrap-up conversation explores some of the themes they discussed with Dale.

<p>As Dale explains it, our brains have been practicing how to respond to stimuli for millennia. While humans have been around longer than computers, computers can “practice” harder and longer than humans can. And so, through practice, computers can get really good at what they do really quickly. Interestingly, according to Dale, different computers may learn differently, and so machine learning may yield different results by different computers – sort of like how different people learn differently and thus make different decisions. Where will it all lead? Troy and Lee’s wrap-up conversation explores some of the themes they discussed with Dale.</p>

Dale Purves, Duke Neuroscientist, Part 2: What Human Brains Teach Us About Computer Brains

As a neuroscientist for decades, Dale has studied the human brain. Now he has directed what he knows about the human brain to artificial intelligence and machine learning – or, put differently, to the computer brain. Tackling questions about theoretical neuroscience (how the brain does what it does), consciousness (which he thinks is replicable in machines), and perception (what we see may not be reality), Dale offers fascinating insights into both human behavior and machine behavior and how they are linked through the adage of “practice makes perfect.”

<p>As a neuroscientist for decades, Dale has studied the human brain. Now he has directed what he knows about the human brain to artificial intelligence and machine learning – or, put differently, to the computer brain. Tackling questions about theoretical neuroscience (how the brain does what it does), consciousness (which he thinks is replicable in machines), and perception (what we see may not be reality), Dale offers fascinating insights into both human behavior and machine behavior and how they are linked through the adage of “practice makes perfect.”</p>

Dale Purves, Duke Neuroscientist, Part 1:  Practice, Practice, Practice – The Makings of Artificial Intelligence