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1
Intro
2
Building a general purpose learning system
3
The lineage of AlphaZero
4
Chess and Al: a long and storied history
5
Anatomy of a world champion chess engine
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AlphaZero (AlphaGoZero)
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AlphaZero versus Stockfish 8
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Mobility vs Materiality
9
Game Changer
10
Game objectives
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AlphaStar architecture
12
AlphaStar league-population based training
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Intrinsic motivations & diversity of strategies
14
AlphaStar training
15
Many interesting issues
16
Many key chalenges remain
17
Beyond Games
18
Improving wind power
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Desiderata
20
What is protein folding?
21
Molecular machines
22
Training the NN via supervised learning
23
Structure optimization
Description:
Explore the groundbreaking advancements in self-learning systems through this insightful lecture by Demis Hassabis, Co-Founder and CEO of Google DeepMind. Delve into DeepMind's recent breakthroughs and their implications for scientific and philosophical discovery. Learn about the evolution of AI systems, from chess engines to AlphaZero and AlphaStar, and their applications beyond games. Discover how these technologies are being utilized to tackle real-world challenges, such as improving wind power and protein folding. Gain valuable insights into the architecture, training methods, and intrinsic motivations behind cutting-edge AI systems. Understand the key challenges that remain in the field and the potential future developments in artificial intelligence.

The Power of Self-Learning Systems

MITCBMM
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