---
格式版本: 2
标题: "Playlist | AI for Science Conference Sessions"
原文链接: "https://www.nvidia.com/gtc/sessions/ai-for-science"
发布日期: "2026-08-12"
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发布时间校准时间: "2026-08-13T00:15:24+08:00"
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发布时间仲裁尝试次数: 0
发布时间仲裁耗时毫秒: 0
发现时间: "2026-08-13T00:11:13+08:00"
入库时间: "2026-08-12T16:15:24.309Z"
来源平台: "固定入口"
搜索渠道: "fixed_url"
搜索词: "https://www.nvidia.com/gtc/"
匹配关键词:
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AI优质: "否"
AI打分: 15
AI分档: "非优质"
AI质检状态: "不通过"
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采集批次: "2026年8月12日20点58分23秒"
采集批次ID: "20260812-205823-234"
去重键: "https://www.nvidia.com/gtc/sessions/ai-for-science"
---

Title: Playlist | AI for Science Conference Sessions

URL Source: https://www.nvidia.com/gtc/sessions/ai-for-science

Published Time: Wed, 12 Aug 2026 16:14:27 GMT

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## AI for Science Conference Sessions

14 sessions

[40:58 ![Image 1: How Open Models, Agents, and Physical AI Are Fueling a Flywheel of Healthcare Innovation](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_ah008bnh/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81806?playlistId=gtc26-ai-for-science)

Talk

[How Open Models, Agents, and Physical AI Are Fueling a Flywheel of Healthcare Innovation](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81806?playlistId=gtc26-ai-for-science)

March 2026

Kimberly Powell, VP, Healthcare and Life Sciences, NVIDIA

Healthcare is entering a once-in-a-generation leap as AI, accelerated computing, and robotics converge to turn data into decisions and accelerate breakthrough discovery. At GTC 2026, NVIDIA will showcase how open foundation models, agentic AI, and…

[36:45 ![Image 2: cuEST: Accelerating Quantum Chemistry on GPUs](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_zek933kl/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81770?playlistId=gtc26-ai-for-science)

Talk

[cuEST: Accelerating Quantum Chemistry on GPUs](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81770?playlistId=gtc26-ai-for-science)

March 2026

Anders Blom, Technical Product Manager, Synopsys

Robert Parrish, Sr. Engineering Manager, NVIDIA

Gaussian-basis quantum chemistry on NVIDIA GPUs is primed to change the world. Join this session to learn about new technologies and offerings from NVIDIA that help accelerate this paradigm shift. 

[39:24 ![Image 3: Scaling Laws in Biology: Why Bigger Models Alone Aren’t Enough](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_30d4ztw9/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81652?playlistId=gtc26-ai-for-science)

Panel

[Scaling Laws in Biology: Why Bigger Models Alone Aren’t Enough](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81652?playlistId=gtc26-ai-for-science)

March 2026

Bo Wang, SVP and Head of Biomedical AI, Xaira Theuraputic

Daniel Burkhardt, Developer Relations Manager, Multiscale Biology, NVIDIA

Emma Lundberg, Co-Founder and Chief Scientific Advisor, GenBio

Philipp Lorenz, CTO, Basecamp Research

Ron Alfa, CEO, Noetik, Inc.

Learn about how progress in Bio x AI, from understanding disease to designing potential medicines, will be powered by at-scale data generation and the three scaling laws of pre-training, post-training, and test-time scaling. 

[39:18 ![Image 4: Accelerated Building Blocks for Next-Generation AI+HPC Workloads](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_06y0mmhk/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81792?playlistId=gtc26-ai-for-science)

Talk

[Accelerated Building Blocks for Next-Generation AI+HPC Workloads](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81792?playlistId=gtc26-ai-for-science)

March 2026

Heidi Poxon, Director of Product, HPC Software, NVIDIA

Embracing next-generation technology like AI-infused scientific workflows involves blending familiar building blocks with innovation, timeliness, and purpose. Whether it's models pre-trained on petabyte-scale data for common forecasting tasks, or…

[43:54 ![Image 5: CSO Insights: Driving AI-Optimized Energy Efficiency and Data Center Performance](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_46js8bt6/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81714?playlistId=gtc26-ai-for-science)

Panel

[CSO Insights: Driving AI-Optimized Energy Efficiency and Data Center Performance](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81714?playlistId=gtc26-ai-for-science)

March 2026

Christopher Wellise, Global VP, Sustainability , Equinix

Kara Hurst, CSO, Amazon

Jim Andrew, CSO, PepsiCo

Tenika Versey Walker, Global Head of Sustainable Futures, NVIDIA

Join Chief Sustainability Officers (CSOs) to learn how AI is transforming enterprise energy and infrastructure at scale. This session will include: insights on applying AI to optimize energy efficiency, grid-integrated operations, and enhance data center…

[38:13 ![Image 6: Foundation Models Revolutionize Molecular Dynamics Simulations for Chemistry and Materials Science](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_fti4uw07/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81802?playlistId=gtc26-ai-for-science)

Talk

[Foundation Models Revolutionize Molecular Dynamics Simulations for Chemistry and…](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81802?playlistId=gtc26-ai-for-science)

March 2026

Gabor Csanyi, Professor, University of Cambridge

Molecular dynamics simulation, using the explicit equations of quantum mechanics (e.g., density functional theory) is the workhorse of computational materials science and chemistry. Until recently, more than a third of academic supercomputer time…

[39:43 ![Image 7: An AI-Driven Autonomous Lab of the Future for Chemistry and Materials Science](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_3eghjy1a/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81790?playlistId=gtc26-ai-for-science)

Panel

[An AI-Driven Autonomous Lab of the Future for Chemistry and Materials Science](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81790?playlistId=gtc26-ai-for-science)

March 2026

Kristin Persson, Distinguished Professor and Cusp.AI Advisor, University of Berkeley

Joseph Krause, co-founder and CEO, Radical AI

James Gin, CTO and co-founder, Orbital Materials

Justin Smith, Sr. Developer Relations Manager, NVIDIA

Rafael Gómez-Bombarelli, CSO, Physical Sciences, Lila Sciences

Explore how agentic AI and automated laboratories are transforming chemistry and materials discovery by seamlessly integrating AI-driven atomistic simulations with experimental workflows. Learn from industry leaders how they're accelerating the…

[33:49 ![Image 8: Cutting-Edge Molecular Dynamics on the Latest Multi-Node NVLink Technology](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_ehqzevwc/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81542?playlistId=gtc26-ai-for-science)

Talk

[Cutting-Edge Molecular Dynamics on the Latest Multi-Node NVLink Technology](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81542?playlistId=gtc26-ai-for-science)

March 2026

Alan Gray, Principal Developer Technology Engineer, NVIDIA

Mahesh Doijade, Sr. Compute Developer Technology Engineer, NVIDIA

Explore new techniques for scaling and optimizing GROMACS molecular dynamics on the latest NVIDIA Multi-node NVLink (MNNVL) systems, via the use of cuFFTMp and NVSHMEM, to minimize communication overhead and maximize performance.…

[39:12 ![Image 9: Using Agentic AI to Transform Science: From Molecules to Materials](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_53on10um/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81745?playlistId=gtc26-ai-for-science)

Talk

[Using Agentic AI to Transform Science: From Molecules to Materials](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81745?playlistId=gtc26-ai-for-science)

March 2026

Eun-Ah Kim, Professor of Physics, Cornell University

Marinka Zitnik, Associate Professor of Biomedical Informatics, Harvard Medical School

AI is accelerating breakthroughs across scientific domains, transforming complex data into actionable insights for discovery and design. This session explores how agentic AI systems are being engineered to drive innovation—from decoding…

[31:40 ![Image 10: Workflow Revolution: How Doudna Drives HPC, AI, and Quantum Scientific Impact](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_t9a6ofcz/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81634?playlistId=gtc26-ai-for-science)

Talk

[Workflow Revolution: How Doudna Drives HPC, AI, and Quantum Scientific Impact](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81634?playlistId=gtc26-ai-for-science)

March 2026

Rollin Thomas, Data Architect, NERSC, Lawrence Berkeley National Laboratory

This presentation will focus on how scientists can leverage the Doudna supercomputer, to be deployed in 2027 at the National Energy Research Scientific Computing Center (NERSC), to manage and execute complex workflows,…

[39:38 ![Image 11: Developing AI Physics Models for Spacecraft Reentry](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_81ih7w34/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81767?playlistId=gtc26-ai-for-science)

Talk

[Developing AI Physics Models for Spacecraft Reentry](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81767?playlistId=gtc26-ai-for-science)

March 2026

David Halaas, Sr. Technical Fellow, Blue Origin

Neil Ashton, Distinguished Engineer, NVIDIA

Learn how Blue Origin has been fine-tuning and using the NVIDIA AI physics models for their hypersonic spacecraft re-entry challenges. You’ll hear about how they use simulation within their research and design processes; how they see the role of AI…

[41:36 ![Image 12: 2025 Gordon Bell Winner: Forecasting Tsunamis in Real Time With Digital Twins](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_i6k9y2zo/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s82161?playlistId=gtc26-ai-for-science)

Talk

[2025 Gordon Bell Winner: Forecasting Tsunamis in Real Time With Digital Twins](https://www.nvidia.com/en-us/on-demand/session/gtc26-s82161?playlistId=gtc26-ai-for-science)

March 2026

Omar Ghattas, Professor and Cockrell Endowed Chair in Engineering, The University of Texas at Austin

Stefan Henneking, Research Associate, The University of Texas at Austin

The Cascadia subduction zone is capable of unleashing a magnitude 9 earthquake with tsunamis as high as 30 meters, endangering millions in the Pacific Northwest. While it has been quiet since 1700, scientists place a 37% probability of an 8.2+…

[39:28 ![Image 13: The Earth System at 1 km Resolution: Breaking Frontiers in Climate Science](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_1vmj8tdy/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s82185?playlistId=gtc26-ai-for-science)

Talk

[The Earth System at 1 km Resolution: Breaking Frontiers in Climate Science](https://www.nvidia.com/en-us/on-demand/session/gtc26-s82185?playlistId=gtc26-ai-for-science)

March 2026

Daniel Klocke, Group Leader, Max Planck Institute for Meteorology (MPI-M)

We present the first-ever global simulation of the full Earth system at an unprecedented 1 km resolution—a milestone recognized with the 2025 Gordon Bell Prize in Climate Modeling. Led by researchers from the Max Planck Institute for…

[35:40 ![Image 14: The AI-XR Co-Scientist Lab: How Stanford - Princeton's LabOS is Accelerating Advanced Science With XR](https://cdnsecakmi.kaltura.com/p/2935771/thumbnail/entry_id/1_q3pse3uy/width/400)](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81748?playlistId=gtc26-ai-for-science)

Talk

[The AI-XR Co-Scientist Lab: How Stanford - Princeton's LabOS is Accelerating Advanced…](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81748?playlistId=gtc26-ai-for-science)

March 2026

Le Cong, Professor, Stanford University

Mengdi Wang, Professor, Princeton University

What if we could dramatically shorten the path from discovery to lifesaving therapy? Discover how Stanford Medicine’s LabOS, an AI extended reality (XR) operating system, makes this a reality. Learn how LabOS drives CRISPR GPT, a…

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How Open Models,Agents,and Physical AI Are Fueling a Flywheel of Healthcare Innovation

Healthcare is entering a once-in-a-generation leap as AI, accelerated computing, and robotics converge to turn data into decisions and accelerate breakthrough discovery. At GTC 2026, NVIDIA will showcase how open foundation models, agentic AI, and…

cuEST:Accelerating Quantum Chemistry on GPUs

Gaussian-basis quantum chemistry on NVIDIA GPUs is primed to change the world.Join this session to learn about new technologies and offerings from NVIDIA that help accelerate this paradigm shift.

Scaling Laws in Biology:Why Bigger Models Alone Aren’t Enough

Learn about how progress in Bio x AI,from understanding disease to designing potential medicines,will be powered by at-scale data generation and the three scaling laws of pre-training,post-training,and test-time scaling.

Accelerated Building Blocks for Next-Generation AI+HPC Workloads

Embracing next-generation technology like AI-infused scientific workflows involves blending familiar building blocks with innovation, timeliness, and purpose. Whether it's models pre-trained on petabyte-scale data for common forecasting tasks, or…

CSO Insights:Driving AI-Optimized Energy Efficiency and Data Center Performance

Join Chief Sustainability Officers (CSOs) to learn how AI is transforming enterprise energy and infrastructure at scale. This session will include: insights on applying AI to optimize energy efficiency, grid-integrated operations, and enhance data center…

Foundation Models Revolutionize Molecular Dynamics Simulations for Chemistry and…

Molecular dynamics simulation, using the explicit equations of quantum mechanics (e.g., density functional theory) is the workhorse of computational materials science and chemistry. Until recently, more than a third of academic supercomputer time…

An AI-Driven Autonomous Lab of the Future for Chemistry and Materials Science

Explore how agentic AI and automated laboratories are transforming chemistry and materials discovery by seamlessly integrating AI-driven atomistic simulations with experimental workflows. Learn from industry leaders how they're accelerating the…

Cutting-Edge Molecular Dynamics on the Latest Multi-Node NVLink Technology

Explore new techniques for scaling and optimizing GROMACS molecular dynamics on the latest NVIDIA Multi-node NVLink (MNNVL) systems, via the use of cuFFTMp and NVSHMEM, to minimize communication overhead and maximize performance.…

Using Agentic AI to Transform Science:From Molecules to Materials

AI is accelerating breakthroughs across scientific domains, transforming complex data into actionable insights for discovery and design. This session explores how agentic AI systems are being engineered to drive innovation—from decoding…

Workflow Revolution:How Doudna Drives HPC,AI,and Quantum Scientific Impact

This presentation will focus on how scientists can leverage the Doudna supercomputer, to be deployed in 2027 at the National Energy Research Scientific Computing Center (NERSC), to manage and execute complex workflows,…

Developing AI Physics Models for Spacecraft Reentry

Learn how Blue Origin has been fine-tuning and using the NVIDIA AI physics models for their hypersonic spacecraft re-entry challenges. You’ll hear about how they use simulation within their research and design processes; how they see the role of AI…

2025 Gordon Bell Winner:Forecasting Tsunamis in Real Time With Digital Twins

The Cascadia subduction zone is capable of unleashing a magnitude 9 earthquake with tsunamis as high as 30 meters, endangering millions in the Pacific Northwest. While it has been quiet since 1700, scientists place a 37% probability of an 8.2+…

The Earth System at 1 km Resolution:Breaking Frontiers in Climate Science

We present the first-ever global simulation of the full Earth system at an unprecedented 1 km resolution—a milestone recognized with the 2025 Gordon Bell Prize in Climate Modeling. Led by researchers from the Max Planck Institute for…

The AI-XR Co-Scientist Lab: How Stanford - Princeton's LabOS is Accelerating Advanced…

What if we could dramatically shorten the path from discovery to lifesaving therapy? Discover how Stanford Medicine’s LabOS, an AI extended reality (XR) operating system, makes this a reality. Learn how LabOS drives CRISPR GPT, a…

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