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Intro

General-Purpose Learning Algorithms

Deep Blue vs. Garry Kasparov

Reinforcement Learning Framework

Grounded Cognition

Deep Reinforcement Learning

DON: A General Atari Player

Adding Memory to Neural Networks

Memory: Neural Turing Machines

3D Environments - Navigation

The History of Go

A repeated board position is not allowed

Evaluation function for Go

Intuition vs Calculation

Training the deep neural networks

Two networks: Policy and Value Nets

Combining Neural Nets with Tree Search and Rollouts

Cutting Down the Search Tree

Evaluating AlphaGo against computers

Google DeepMind Challenge Match: 9-15 March

Note on Compute Power

We won the match 4-1

Game 2 - AlphaGo's Move 37

Cultural Impact of the match

Rate of Progress: -1 rank per month

Intuition and Creativity

Description:

Explore the cutting-edge developments in General Artificial Intelligence with Dr. Demis Hassabis, Co-Founder and CEO of DeepMind, in this illuminating talk. Delve into the world of AI research, including the historic AlphaGo match, and discover its potential impact on science, healthcare, and our understanding of the human mind. Learn about general-purpose learning algorithms, reinforcement learning frameworks, and the evolution of AI from Deep Blue to modern neural networks. Gain insights into the development of memory-enhanced neural systems, 3D environment navigation, and the intricacies of training deep neural networks for complex tasks like mastering the game of Go. Understand the cultural significance of AI achievements and the rapid progress in the field, while contemplating the role of intuition and creativity in artificial intelligence.

Demis Hassabis: Towards General Artificial Intelligence

MITCBMM

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#Computer Science #Artificial Intelligence #Machine Learning #Reinforcement Learning #Neural Networks #Social Sciences #Economics #Game Theory #Deep Reinforcement Learning #AlphaGo