---
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: "2026-08-14"
发布时间校准状态: "found"
发布时间需复核: "否"
发布时间来源: "rule:local:strict_original_body"
发布时间证据: "Published Time: Fri, 14 Aug 2026 14:38:49 GMT"
发布时间校准原因: "规则确认唯一严格发布时间，来源 local:strict_original_body"
发布时间校准置信度: "high"
发布时间候选数量: 4
发布时间严格候选数量: 1
发布时间原页读取状态: "source template page reused from URL open"
发布时间未找到原因: ""
发布时间校准时间: "2026-08-14T22:39:03+08:00"
发布时间仲裁状态: "skipped"
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: "2026-08-14T22:34:08+08:00"
入库时间: "2026-08-14T14:39:03.727Z"
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:
- "AI"
- "NVLink"
- "performance"
相关厂家:
- "NVIDIA"
相关专家:
[]
内容类型: "网页"
抓取工具: "Jina Reader"
清洗工具: "Jina Reader Markdown + Defuddle/Readability 正文提取"
原始附件:
[]
AI优质: "否"
AI打分: 25
AI分档: "非优质"
AI打分理由: "该页面为NVIDIA GTC的AI for Science会议播放列表汇总页，仅列出14个会话标题与摘要，未提供任何超节点、AI Rack、机柜级系统架构、技术细节或商业部署信息。主题仅涉及AI在科学领域的应用，与项目核心关注范围无关。"
AI质检模型: "ali-deepseek-v4-flash"
AI质检时间: "2026-08-14T22:39:42+08:00"
AI主题相关性: 2
AI来源权威性: 15
AI新颖性: 5
AI技术细节: 0
AI商业部署信号: 0
AI完整性: 3
AI质检状态: "评分失败"
AI评分尝试次数: 1
AI评分错误类型: "parse_error"
AI评分错误: "JSON Parse error: Unterminated string"
AI评分开始时间: "2026-08-20T02:46:40.472Z"
AI评分结束时间: "2026-08-20T02:47:26.951Z"
采集批次: "2026年8月14日18点30分41秒"
采集批次ID: "20260814-183041-680"
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: Fri, 14 Aug 2026 14:38:49 GMT
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## AI for Science Conference Sessions
14 sessions
[40:58 ](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 ](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 ](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 ](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 ](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 ](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 ](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 ](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 ](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 ](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 ](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 ](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 ](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 ](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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