Dr. Bradley Erickson from Mayo Clinic discusses using AI to predict tumor genomics from MRIs, revolutionizing brain tumor treatment. The podcast explores the evolution of AI in medical imaging, AI-driven radio genomics, and the role of AI in health data monitoring and intervention.

Mark Michalski, Leader of the Massachusetts General Hospital Center for Clinical Data Science, discusses how AI is revolutionizing radiology and pathology by improving disease detection and personalized treatment plans. Topics include AI applications in tumor detection, personalized medicine, evolving roles in diagnosticians, and advancements in AI for medical imaging and patient care.

Brent Seales, a University of Kentucky Computer Science Professor, uses AI to read ancient texts, such as the En-Gedi scroll and scrolls from Herculaneum. The podcast discusses the challenges of digitizing and analyzing fragile scrolls using image recognition and AI tools. It explores the use of tomography and machine learning to decipher lost literature from antiquity and highlights the potential of AI in uncovering hidden knowledge in ancient texts.

Jonathan Cooke, CMO of Roborace, discusses autonomous racing as a spectator sport with powerful AI. Topics include innovative DevBot testing, AI driving paths, challenges of relinquishing control at high speeds, and the potential influence of autonomous vehicles on urban planning and transportation.

Dr. Eli David, CTO of Deep Instinct, discusses using AI for cybersecurity, bringing deep learning to combat malware. Topics include evolution of neural networks, AI in cybersecurity, layered defense strategies, and AI-enhanced behavioral analysis for proactive threat prevention.

Jason Cohen, founder of Gastrograph, discusses using AI to understand flavor profiles in beer and food products. Topics include predicting consumer tastes, personalizing products with AI, and envisioning a future of AI-crafted products for shared experiences.

Kris Hammond, Chief Scientist at Narrative Science, discusses biases in AI systems, highlighting how human input influences decision-making. The podcast explores biases in news consumption, integrating antonyms in search results for critical thinking, unintentional reinforcement of biases in AI, and creating empathetic AI assistance for personalized experiences.

Jim Burke, Founder of the Power Racing Series, discusses the evolution of autonomous racing vehicles in a series built on $500 kiddie cars. Topics include educational value for high school teams, AI technology challenges, skills development, career opportunities, and the balance of technology, affordability, and fun in racing projects.

Lynn Richards and Charles Marohn discuss how AI, particularly deep learning, can revolutionize city planning by creating more liveable cities, optimizing infrastructure placement, and democratizing urban design principles. The podcast explores the intersection of self-driving cars and urban design, challenges in city planning regulations, and the potential of AI to reshape urban infrastructure for more efficient and community-oriented living spaces.

Danny Shapiro from NVIDIA discusses how AI revolutionizes driving. Topics include training cars with AI and sensors, object recognition using deep learning, safety and comfort in driverless cars, and the challenges of full autonomous driving in city scenarios.