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محتوای ارائه شده توسط Craig S. Smith. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Craig S. Smith یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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#197: AI, Fusion, and National Security with Lawrence Livermore’s Brian Spears

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Manage episode 428689437 series 2455219
محتوای ارائه شده توسط Craig S. Smith. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Craig S. Smith یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

This episode is sponsored by SysAid.

Get 20% off SysAid Copilot using this link: https://www.sysaid.com/lp/sysaid-copilot-s?utm_source=youtube&utm_medium=cpc&utm_campaign=short-craig

In this episode of the Eye on AI podcast, join us as we delve into the cutting-edge world of AI and high-performance computing with Brian Spears, Director of the AI Innovation Incubator at Lawrence Livermore National Laboratory.

Brian shares his experience in driving AI into national security science and managing the nation’s nuclear stockpile. With a PhD in mechanical engineering, his expertise spans nonlinear dynamical systems and high-dimensional topology, making him uniquely positioned to lead groundbreaking projects in fusion ignition and AI integration.

Discover how Lawrence Livermore National Laboratory achieved fusion ignition for the first time, harnessing the power of AI to elevate simulation models with precise experimental data. Brian explains how this approach is paving the way for commercially viable fusion energy and advancing stockpile stewardship.

Explore the relationship between high-performance computing and AI as Brian discusses the Department of Energy's FAST initiative. Brian also touches on the importance of public-private partnerships, ethical considerations in AI development, and the future potential of quantum computing.

Tune in to understand how the US is leading the global race in AI and computing technology, setting the stage for unprecedented advancements in science and security.

Don't forget to like, subscribe, and hit the notification bell for more insights into the technologies driving the AI revolution.

Stay Updated:

Craig Smith Twitter: https://twitter.com/craigss

Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

(00:00) Preview

(01:52) Introducing Brian Spears

(03:14) Fusion Ignition and AI Integration

(06:00) Predictive Models and Experimental Data

(08:05) Challenges in Fusion Energy

(12:03) Inertial Confinement Fusion Explained

(14:12) Future of Fusion Energy

(17:15) US Leadership in AI and Computing

(19:22) Global AI Competition

(22:33) High-Performance Computing Infrastructure

(26:08) DOE’s FAST Initiative

(28:55) Transformational AI Applications

(34:01) AI Ethics and Safety

(36:24) Scientific Models and Large Language Models

(39:30) 3D Molecular Modeling

(42:47) National AI Research Resource (NAR)

(45:18) Recruitment Challenges in AI

(48:09) Comparison with China

(52:30) DOE’s Role and Future Vision

(54:19) Quantum Computing

  continue reading

214 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 428689437 series 2455219
محتوای ارائه شده توسط Craig S. Smith. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Craig S. Smith یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

This episode is sponsored by SysAid.

Get 20% off SysAid Copilot using this link: https://www.sysaid.com/lp/sysaid-copilot-s?utm_source=youtube&utm_medium=cpc&utm_campaign=short-craig

In this episode of the Eye on AI podcast, join us as we delve into the cutting-edge world of AI and high-performance computing with Brian Spears, Director of the AI Innovation Incubator at Lawrence Livermore National Laboratory.

Brian shares his experience in driving AI into national security science and managing the nation’s nuclear stockpile. With a PhD in mechanical engineering, his expertise spans nonlinear dynamical systems and high-dimensional topology, making him uniquely positioned to lead groundbreaking projects in fusion ignition and AI integration.

Discover how Lawrence Livermore National Laboratory achieved fusion ignition for the first time, harnessing the power of AI to elevate simulation models with precise experimental data. Brian explains how this approach is paving the way for commercially viable fusion energy and advancing stockpile stewardship.

Explore the relationship between high-performance computing and AI as Brian discusses the Department of Energy's FAST initiative. Brian also touches on the importance of public-private partnerships, ethical considerations in AI development, and the future potential of quantum computing.

Tune in to understand how the US is leading the global race in AI and computing technology, setting the stage for unprecedented advancements in science and security.

Don't forget to like, subscribe, and hit the notification bell for more insights into the technologies driving the AI revolution.

Stay Updated:

Craig Smith Twitter: https://twitter.com/craigss

Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

(00:00) Preview

(01:52) Introducing Brian Spears

(03:14) Fusion Ignition and AI Integration

(06:00) Predictive Models and Experimental Data

(08:05) Challenges in Fusion Energy

(12:03) Inertial Confinement Fusion Explained

(14:12) Future of Fusion Energy

(17:15) US Leadership in AI and Computing

(19:22) Global AI Competition

(22:33) High-Performance Computing Infrastructure

(26:08) DOE’s FAST Initiative

(28:55) Transformational AI Applications

(34:01) AI Ethics and Safety

(36:24) Scientific Models and Large Language Models

(39:30) 3D Molecular Modeling

(42:47) National AI Research Resource (NAR)

(45:18) Recruitment Challenges in AI

(48:09) Comparison with China

(52:30) DOE’s Role and Future Vision

(54:19) Quantum Computing

  continue reading

214 قسمت

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