Fluid Intelligence: Simulating Solutions with Tim Duignan

Cognitive Revolution "How AI Changes Everything"

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Explore the fusion of AI and computational chemistry with University of Queensland's researcher, Tim Duignan. Learn about transforming our understanding of electrolytes, the art of simulating physical processes using neural networks, and the potential of AI in scientific breakthroughs. Discover Tim's journey creating AI models for complex system predictions and join the discussion on advancing AI's role in future scientific discoveries.
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CHAPTERS:
(00:00:00) About the Show
(00:02:47) Introduction
(00:04:09) Why electrolyte solutions are important
(00:06:53) What properties are we trying to predict with electrolyte solutions?
(00:09:33) Battery fires
(00:13:38) Molecular dynamics
(00:16:40) Time step
(00:18:51) Scaling
(00:23:09) Sponsors: Oracle | Brave
(00:25:17) Decoherence
(00:27:23) Neural Network Potentials
(00:31:04) How big are the models?
(00:35:46) What architecture is used?
(00:38:12) Equivariance (Part 1)
(00:42:29) Sponsors: Omneky | Squad
(00:44:15) Equivariance (Part 2)
(00:44:16) AlphaFold3
(00:46:52) Zero-shot latent space communication
(00:48:21) What is coarse graining?
(00:54:31) How to know if there is no crystallization
(00:56:53) What is the role of water in the simulation?
(01:01:25) Crystallization
(01:05:26) Matching surfaces
(01:09:32) Self-ionization of water
(01:13:22) Active learning
(01:16:41) Temperature
(01:19:20) Ice and water
(01:21:12) Scaling up the model
(01:25:21) Big tech singularity
(01:27:54) China is not far behind
(01:29:15) Safety concerns
(01:31:16) KANs
(01:34:36) The future of scientific progress
(01:39:28) The art of discovery
(01:43:02) One model to rule them all
(01:47:46) AGI, its risks and benefits
(01:50:21) Power vs. Generality
(01:53:01) Generality for Utility
(01:53:40) Outro

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6 июл 2024

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Комментарии : 12

@ArielTavori 11 дней назад

Fascinating! Tim Duignan’s work exemplifies the synergy between AI and human ingenuity, where neural networks serve as a catalyst for deeper insights into molecular dynamics. The discussion on the self-ionization of water and the generalization capabilities of neural networks is a testament to the potential of AI to uncover phenomena that may not be immediately apparent to human researchers. It’s a reminder that while AI can be a profound tool for discovery, it is the human curiosity and interdisciplinary collaboration that drive these advancements forward. Very excited to see where similar methodologies take us in the exploration of topological photonic and phononic materials!..

@ThomasMeli81 10 дней назад

I'm extremely excited about researchers applying AI to green chemistry / materials science + making products and materials that do what they need to do without being toxic to humans or other species. Lots of amazing things becoming possible, along with some significant challenges. Interesting times!

@CognitiveRevolutionPodcast 10 дней назад

💯

@jarlaxle6591 9 дней назад

Wonderful podcast. I sent you my resume via email , but ill check out that form you mention in the intro. Keep up the good work! They keep getting better and better.

@CognitiveRevolutionPodcast 9 дней назад

Thank you! The form is here : docs.google.com/forms/d/e/1FAIpQLSf_YUQnwJKDejosGsiHU6lUy1VicleQ4PXevfrmRFJM9wdpNQ/viewform Also you will find them always in the website.

@zzzzzzz8473 9 дней назад

awesome conversation ! truly thanks for getting into the details , so many vectors to research further . the multitude of clever optimizations in the field , and that they were getting such results on 10k parameter model trained on the quantum chemistry synthetic data .

@CognitiveRevolutionPodcast 9 дней назад

Thank you for the comment :) Yup, looks we have scratched the surface on the non-textual domains. Exciting times ahead.

@Lolleka 9 дней назад

'It's got electrolytes!' --Brawndo

@dadsonworldwide3238 День назад

So spacetime compute. All subjective space between is computable & statistical anylitical intellect step by step within a frame of reference

@firstnamesurname6550 10 дней назад

At the beginning of the video: Were you reading an nnLLM post-prompts outcome?

@rey82rey82 10 дней назад

OpenWorm

@2CSST2 10 дней назад

If it's the famous virtuous cycle of how science bolsters tech and then tech does it in return for science. The World Wide Web got invented as a result of research at CERN, and though it's not the only contributor to all the data we have today, it was a major factor to it, and now all that data lead to training AIs that will in turn help in research.