Bridging the Gap Between Artificial Intelligence and Neuroscience | Alex Lavin | TEDxCornellTech
ฝัง
- เผยแพร่เมื่อ 5 มิ.ย. 2016
- AI and neuroscience can inform one another, if we can continue to bridge their current gap.
By increasing the synergy between artificial intelligence and neuroscience, a bootstrapping process will occur: more neuroscience research will inform better AI, and better AI will give neuroscientists the tools to make more discoveries and interpret them. Let’s encourage collaboration, throughout academia and industry.
Alex Lavin is a researcher at the intersection of artificial intelligence and neuroscience. As a Software Engineer with Numenta, he's working to build intelligent machines by reverse engineering the neocortex. Alex's focus is in natural language processing, or developing algorithms that enable computers to process and understand human language. Alex studied mechanical and aerospace engineering at Cornell, and robotics at Carnegie Mellon. He was recently selected to the Forbes 30 Under 30 List for Science.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at ted.com/tedx
"If we solve intelligence, we can solve everything else."
Fundamental mechanisms of human intelligence
Unsupervised learning - unlearned data
Human brian project - 80 billion neurons
Neocortex - center of intelligence
Visual data from our retina
Train from millions of photos
Numenta
If we solve intelligence we solve everything else
Capacity for learning
Alpha go - ask it to play checkers
-observing expert moves. Playing against itself 1.3 million times
Narrow artificial intelligence