AI Seminar: "Brain evolution as a machine learning problem"

Wednesday, November 11, 2020 - 10:00am to 11:00am
Zoom - contact for Zoom info.
Event Description: 

The AI Institute Seminar is welcoming Alexei

Koulakov of Cold Spring Harbor Laboratory helping to evolve our brains

with his talk on

"Brain evolution as a machine learning problem".   

There is considerable activity in NeuroAI at CSHL, and mutual interest

in collaborations with AI at Stony Brook.  This seminar will hopefully

kickstart this process.  His abstract is given below:

Brain evolution as a machine learning problem

We have entered a golden age of artificial intelligence research,

driven mainly by the advances in ANNs over the last decade or so.

Applications of these techniques—to machine vision, speech

recognition, autonomous vehicles, machine translation and many other

domains—are coming so quickly that many observers predict that the

long-elusive goal of “Artificial General Intelligence” (AGI) is within

our grasp. However, we still cannot build a machine capable of

building a nest, stalking prey, or loading a dishwasher. I will

describe several projects, ranging from theories of evolution of

neural development to the perception of smells, in which we are

attempting to understand the algorithms that the nervous system is

using to solve some of these challenging problems.

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Event Title: 
AI Seminar: "Brain evolution as a machine learning problem"