Margaux Masson-Forsythe, director of machine learning at the Surgical Data Science Collective (SDSC), discusses how AI-driven video analysis is transforming surgical training and practice, making surgery safer and more accessible to billions of people worldwide.

As AI continues to evolve rapidly, it is becoming more important to create models that can effectively simulate and predict outcomes in real-world environments. World foundation models are powerful neural networks that can simulate physical environments, enabling teams to enhance AI workflows and development. Ming-Yu Liu, vice president of research at NVIDIA and an IEEE Fellow, joined the NVIDIA AI Podcast to talk about world foundation models and how it will impact various industries.

https://blogs.nvidia.com/blog/world-foundation-models-advance-physical-ai/

https://www.nvidia.com/cosmos/

In this episode of the NVIDIA AI Podcast, Kanjun Qiu, CEO of Imbue, explores the emerging era where individuals can create and utilize their own AI agents. Drawing a parallel to the personal computer revolution of the late 1970s and 80s, Qiu discusses how modern AI systems are evolving to work collaboratively with users, enhancing their capabilities rather than just automating tasks.

In this episode of the NVIDIA AI Podcast, Sara Minkara, U.S. Special Advisor on International Disability Rights, and Timothy Shriver, Chairman of Special Olympics, discuss AI's potential to enhance education and disability inclusion. They emphasize the importance of including disability communities in AI development, as well as the cultural and social benefits of building an inclusive future.

Read the transcript:

https://blogs.nvidia.com/wp-content/uploads/2024/12/AI-Podcast_Disability-Inclusion-and-Education_Transcript.pdf

In this episode of the NVIDIA's AI Podcast, Louis Stewart, head of strategic initiatives for NVIDIA’s global developer ecosystem, discusses why workforce development is crucial for maximizing AI benefits. He emphasizes the importance of AI education, inclusivity, and public-private partnerships in preparing the global workforce for the future. Engaging with AI tools and understanding their impact on the workforce landscape is vital for ensuring these changes benefit everyone.

https://blogs.nvidia.com/blog/workforce-development-ai/

Helena Fu, director of the DOE’s Office of Critical and Emerging Technologies (CET) and DOE’s chief AI officer, discusses the latest groundbreaking efforts with AI that are transforming national security, infrastructure, and scientific discovery. With oversight of 17 national labs and 34 facilities, the DOE is at the forefront of AI research and development.

Zoom, a company that helped change the way people work during the COVID-19 pandemic, is continuing to reimagine the future of work by transforming itself into an AI-first communications and productivity platform.

In this episode of NVIDIA’s AI Podcast, Zoom CTO Xuedong (XD) Huang shares how the company is reshaping productivity with AI, including through its Zoom AI Companion 2.0, unveiled recently at the Zoomtopia conference.

Designed to be a productivity partner, the AI companion is central to Zoom’s “federated AI” strategy, which focuses on integrating multiple large language models.

Huang also introduces the concept of “AUI,” combining conversational AI and graphical user interfaces (GUIs) to streamline collaboration and supercharge business performance.

From improving energy efficiency to helping address climate challenges, AI and accelerated computing are becoming key tools in the push for sustainability. In this episode of NVIDIA’s AI Podcast, Joshua Parker, senior director of corporate sustainability, shared his perspective on how these technologies are contributing to a more sustainable future.

https://blogs.nvidia.com/blog/ai-energy-efficiency/

Companies in the US spend $15bn annually on talent acquisition. The most important metric in recruitment advertising is the conversion from the paid click on the job platform to the application the employer receives. Industry-wide, apply conversion is just 5%. Redirection of the candidate from the job platform to the company site is the biggest cause of abandonment; this step has a 70% bounce rate. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Mikhil Raja, Cofounder and CEO of SonicJobs, about how they have built AI Agents to enable candidates to complete applications directly on job platforms, without redirection, boosting completion rates to 26% from 5%. Raja delves deep into SonicJobs’ cutting-edge technology, which merges traditional AI with large language models (LLMs) to understand and interact with job application web flows. He also emphasizes the importance of fine-tuning foundational models to achieve more impactful and scalable innovations.

SonicJobs is a member of the NVIDIA Inception program for startups.

Edward Mehr works where AI meets the anvil. The company he cofounded, Machina Labs, blends the latest advancements in robotics and AI to form metal into countless shapes for use in defense, aerospace, and more. The company’s applications accelerate design and innovation, enabling rapid iteration and production in days instead of the months required by conventional processes. NVIDIA AI Podcast host Noah Kravitz speaks with Mehr, CEO of Machina Labs, on how the company uses AI to develop the first-ever robotic blacksmith. Its Robotic Craftsman platform integrates seven-axis robots that can shape, scan, trim and drill a wide range of materials — all capabilities made possible through AI.