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cover of episode Can AI Advance Science? DeepMind's VP of Science Weighs In

Can AI Advance Science? DeepMind's VP of Science Weighs In

2024/5/1
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Pushmeet Kohli
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Vijay Pande
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知名游戏《文明VII》的开场动画预告片旁白。
Topics
Pushmeet Kohli：人工智能已成为科学研究的必要工具，用于理解和解决复杂问题；深度学习彻底改变了机器学习及其应用；DeepMind的目标是将AI应用于解决世界上的重大挑战；DeepMind的科学项目从最初的几个人和两个项目发展到如今的100多人参与多个领域的研究；AlphaFold2的成功证明了AI在解决基础科学问题上的潜力；AlphaFold2数据库已被全球广泛使用，其影响力遍及各个科学领域；AlphaFold2数据库的开放获取极大地促进了科学研究的全球合作；AlphaFold2已被应用于多个科学领域，例如药物研发和疫苗开发；大型语言模型的兴起为AI在科学研究中的应用带来了新的机遇；DeepMind未来将继续在蛋白质结构预测、基因组学和材料科学等领域开展研究。 Vijay Pande：生物学领域正在经历一场工业革命，AI和海量数据是其关键驱动力；AI正在推动医疗保健和生命科学领域的工业化进程；AI促进了生命科学领域的工业化，将手工劳动转变为工程化和工业化流程；AlphaFold2可以快速预测蛋白质结构，大大缩短了研究时间；蛋白质结构决定其功能，对生物学和药物研发至关重要；AlphaFold2将蛋白质结构预测转变为数据库查询，极大提高了研究效率；AI改变了科研的经济效益，使小型团队能够更高效地开展研究；预测临床试验结果是AI在生物医学领域面临的重大挑战；AI模型对人体药物作用的预测能力有待提高，以减少对动物实验的依赖。

Deep Dive

Chapters
The episode introduces DeepMind's VP of Science, Pushmeet Kohli, and a16z General Partner Vijay Pande, discussing the transformative potential of AI in scientific exploration. They explore whether AI can lead to fundamentally new discoveries in science, highlighting the groundbreaking impact of AlphaFold 2 in predicting protein structures.
  • AI is becoming a necessity for making sense of complex scientific problems.
  • AlphaFold 2 has been utilized by over 1.7 million scientists worldwide.
  • The conversation sets the stage for deeper discussions on AI's role in advancing science.

Shownotes Transcript

In recent years, the AI landscape has seen huge advancements, from the release of Dall-E 2 in April 2022 to the emergence of AI music and video models in early 2024.

While creative tools often steal the spotlight, AlphaFold 2 marked a groundbreaking AI breakthrough in biology in 2021. Since its release, this pioneering tool for predicting protein structures has been utilized by over 1.7 million scientists worldwide, influencing fields ranging from genomics to computational chemistry.

In this episode, DeepMind's VP of Research for Science, Pushmeet Kohli, and a16z General Partner Vijay Pande discuss the transformative potential of AI in scientific exploration. Can AI lead to fundamentally new discoveries in science? Let's find out.

 

Resources: 

Find Pushmeet on Twitter: https://twitter.com/pushmeet)

Find Vijay on Twitter: https://twitter.com/vijaypande)

Learn more about Google DeepMind: https://deepmind.google)

Read DeepMind’s AlphaFold whitepaper: https://deepmind.google/discover/blog/a-glimpse-of-the-next-generation-of-alphafold)

Read DeepMind’s AlphaGeometry: https://deepmind.google/discover/blog/alphageometry-an-olympiad-level-ai-system-for-geometry)

Read DeepMind’s research on new materials: https://deepmind.google/discover/blog/millions-of-new-materials-discovered-with-deep-learning/)

Read DeepMind’s paper on FunSearch, focused on new discoveries in mathematics: https://deepmind.google/discover/blog/funsearch-making-new-discoveries-in-mathematical-sciences-using-large-language-models)

 

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