Christopher Savoie, the founder and CEO of Zapata Computing, has had a fascinating career journey. After beginning as a young programmer working with early computers, he switched gears to immunology and biophysics in Japan and is now founding AI companies. Along the way, he was also involved in creating the foundational technology for Apple Siri, working on early language models embedded in agents to solve complex natural language problems.

In this interview with our host, Daniel Bogdanoff, Savoie highlights the evolution of AI into specialized systems. Like an orchestra, small, task-specific models working in ensembles are more effective than large, monolithic ones.

He also shares how AI transforms automotive, motorsports, and grid management industries. Savoie recounts his experiences at Nissan with predictive battery analytics and Andretti Autosport, where AI-driven simulations optimize race strategies.

Savoy warned about the potential misuse of AI and big data, advocating for ethical considerations, especially around privacy and government control. Despite these challenges, he remains optimistic about AI's potential, expressing a desire for tools to handle complex personal organization tasks, such as multi-modal time and travel management.

In this interview, our Moore’s Lobby host, Daniel Bogdanoff, chats with Rodger Richey, Vice President of Development Tools and Academic Programs at Microchip Technology. Rodger shares how his passion for engineering began with childhood curiosity, dismantling and repairing devices like a microwave. Those early hands-on experiences laid the foundation for his electrical engineering career, which started with designing underwater electronics for the U.S. Navy.

Rodger discusses the evolution of development tools and the growing complexity of embedded systems over his 30-year tenure at Microchip. He emphasizes the importance of creating accessible and user-friendly tools, such as IDEs and development boards, to help developers tackle increasingly sophisticated projects. The integration of AI into development workflows is a major milestone, enabling enhanced productivity and better debugging.

Rodger also highlights his involvement in academia, spearheading initiatives like virtual internships and hands-on learning programs to better prepare students for industry roles. By providing real-world tools and fostering collaboration, these programs aim to bridge the gap between theoretical education and practical application.

Rodger attributes his longevity at Microchip to its strong values, collaborative culture, and dedication to innovation, which have remained consistent even as the company has grown significantly.

The interview explores K S Venkatraman's journey in technology, NVIDIA’s growth, and the future of AI. Venkatraman reflects on his academic upbringing and early experiments with electronics. He reflects on his that began at Intel and eventually transitioned to NVIDIA after a brief startup venture.

In this conversation with our Moore’s Lobby host, Daniel Bogdanoff, Venkatraman delves into pivotal technological advancements. This includes the development of GPUs for AI and the role of hardware-software co-design in fueling the AI revolution. Looking ahead, Venkatraman envisions AI addressing global challenges, including education and healthcare.

He emphasizes the importance of AI education and encourages engineers to leverage AI tools to enhance productivity without fearing job displacement. He also stresses the necessity of ethical AI practices and collaboration between corporations and governments to ensure responsible innovation.

The interview concludes with insights into unusual AI applications, like generative models for text-to-video, and Venkatraman’s optimism about the transformative potential of AI across all sectors. His closing advice underscores embracing AI as a tool for solving complex problems and fostering continuous learning.