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内容由First Principles and Christian Keil提供。所有播客内容(包括剧集、图形和播客描述)均由 First Principles and Christian Keil 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
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#12: Deep Prasad - How to Build a Physics-Fluent AI System

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Manage episode 420978276 series 3554927
内容由First Principles and Christian Keil提供。所有播客内容(包括剧集、图形和播客描述)均由 First Principles and Christian Keil 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Brought to you by NordVPN. EXCLUSIVE NordVPN Deal ➼ https://nordvpn.com/firstprinciples. Try it risk-free now with a 30-day money-back guarantee!

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Episode 12: Discovering new materials is how we unlock new branches of the tech tree. But there is no way for the world’s most powerful AI tools to help us do that discovery – until now.

======

(00:00) - Intro

(01:08) - GenMat's Goal: Building an AI System Smarter Than Humans at Physics

(02:17) - Why It's Hard for AI to Understand Physics Like Humans Do

(05:39) - How GenMat Models Atomic Level Activity to Optimize Materials

(09:35) - The Trial and Error Process of Traditional Materials Discovery

(11:28) - Materials Science 101: What Makes a Material and Its Key Properties

(15:00) - Perovskites: A Promising and Complex Material Family

(17:37) - How GenMat Helps Labs Discover and Optimize New Materials

(19:43) - The Challenges of Data, Representations and Feedback in Physics AI

(23:18) - Why GenMat Chose a Broad vs Narrow Focus Across Materials Domains

(25:32) - Expanding Into Geophysics to Find Critical Materials Using Satellites

(28:48) - The Experience of Launching GenMat's First Satellite with SpaceX

(30:58) - Overlap Between GenMat's Materials and Geophysics AI Models

(32:42) - GenMat's Progress: Team Size, Funding, Patents, Customers, Results

(35:46) - The Future 'Yug-Cyberia' Civilization Enabled by Advanced Physics AI

(38:54) - How Materials Breakthroughs Can Accelerate Mars and Space Exploration

(42:10) - The Difficulty of Communicating Complex Technical Work to Others

(44:48) - Breaking Down GenMat's AI Techniques: CDVAEs Explained

(48:55) - Why GenMat Uses Classical Deep Learning vs Quantum Computing Today

(51:37) - The Origins of GenMat: From Quantum Deep Learning to Classical AI

(54:02) - How GenMat Gets People Excited About the Potential of Materials

(56:11) - Rapid Fire Questions: Focus vs Breadth, Challenges, Surprises

(59:40) - Mapping Out a Future with Intelligent Matter and Interstellar Travel

(01:03:50) - The Meaning and Origins of the Term 'Yug-Cyberia'

(01:05:15) - Conclusion: Advanced Physics AI Can Get Us to Mars and Beyond

======

Links:

======

Production and marketing by The Deep View (https://thedeepview.co). For inquiries about sponsoring this podcast, email team@firstprinciples.fm

======

Checkout the video version here → http://tinyurl.com/4fh497n9

🔔 Follow to stay updated with new uploads

  continue reading

19集单集

Artwork
icon分享
 
Manage episode 420978276 series 3554927
内容由First Principles and Christian Keil提供。所有播客内容(包括剧集、图形和播客描述)均由 First Principles and Christian Keil 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Brought to you by NordVPN. EXCLUSIVE NordVPN Deal ➼ https://nordvpn.com/firstprinciples. Try it risk-free now with a 30-day money-back guarantee!

======

Episode 12: Discovering new materials is how we unlock new branches of the tech tree. But there is no way for the world’s most powerful AI tools to help us do that discovery – until now.

======

(00:00) - Intro

(01:08) - GenMat's Goal: Building an AI System Smarter Than Humans at Physics

(02:17) - Why It's Hard for AI to Understand Physics Like Humans Do

(05:39) - How GenMat Models Atomic Level Activity to Optimize Materials

(09:35) - The Trial and Error Process of Traditional Materials Discovery

(11:28) - Materials Science 101: What Makes a Material and Its Key Properties

(15:00) - Perovskites: A Promising and Complex Material Family

(17:37) - How GenMat Helps Labs Discover and Optimize New Materials

(19:43) - The Challenges of Data, Representations and Feedback in Physics AI

(23:18) - Why GenMat Chose a Broad vs Narrow Focus Across Materials Domains

(25:32) - Expanding Into Geophysics to Find Critical Materials Using Satellites

(28:48) - The Experience of Launching GenMat's First Satellite with SpaceX

(30:58) - Overlap Between GenMat's Materials and Geophysics AI Models

(32:42) - GenMat's Progress: Team Size, Funding, Patents, Customers, Results

(35:46) - The Future 'Yug-Cyberia' Civilization Enabled by Advanced Physics AI

(38:54) - How Materials Breakthroughs Can Accelerate Mars and Space Exploration

(42:10) - The Difficulty of Communicating Complex Technical Work to Others

(44:48) - Breaking Down GenMat's AI Techniques: CDVAEs Explained

(48:55) - Why GenMat Uses Classical Deep Learning vs Quantum Computing Today

(51:37) - The Origins of GenMat: From Quantum Deep Learning to Classical AI

(54:02) - How GenMat Gets People Excited About the Potential of Materials

(56:11) - Rapid Fire Questions: Focus vs Breadth, Challenges, Surprises

(59:40) - Mapping Out a Future with Intelligent Matter and Interstellar Travel

(01:03:50) - The Meaning and Origins of the Term 'Yug-Cyberia'

(01:05:15) - Conclusion: Advanced Physics AI Can Get Us to Mars and Beyond

======

Links:

======

Production and marketing by The Deep View (https://thedeepview.co). For inquiries about sponsoring this podcast, email team@firstprinciples.fm

======

Checkout the video version here → http://tinyurl.com/4fh497n9

🔔 Follow to stay updated with new uploads

  continue reading

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