NVIDIA AI Podcast
NVIDIA
Explore how the latest technologies are shaping our world, from groundbreaking discoveries to transformative sustainability efforts. The NVIDIA AI Podcast shines a light on the stories and solutions behind the most innovative changes, helping to inspire and educate listeners. Every week, we’ll bring you another tale, another 30-minute interview, as we build a real-time oral history of AI that’s already garnered nearly 6.5 million listens and been acclaimed as one of the best AI and machine learning podcasts. Listen in and get inspired. More information: https://ai-podcast.nvidia.com/
Episodes
Mentioned books
May 3, 2017 • 23min
Ep. 19: AI Food Delivery Bots Rolling Through San Francisco
The team at Marble, a robotics group innovating in AI food delivery, dives deep into the world of autonomous delivery bots in San Francisco. They discuss the journey and challenges of these robots as they navigate urban environments and interact with the public. The conversation covers the evolution of autonomous vehicles, breakthroughs in technology, and the balance between AI and traditional robotics. Listeners will discover how these advancements not only improve delivery efficiency but also aim to create delightful user experiences.
19 snips
Apr 23, 2017 • 21min
Ep. 18: How AI Learns Racism, Sexism
Aylin Caliskan, a Princeton researcher and co-author of a groundbreaking paper on AI bias, discusses the alarming ways AI can inherit societal prejudices. She unpacks how AI language models reflect racism and sexism, highlighting findings from the Implicit Association Test. Caliskan explains the consequences of biased AI in recruitment processes, leading to unfair treatment of candidates. She advocates for increased human oversight to mitigate these biases, emphasizing both the challenges and the potential for AI to help reveal and address unconscious prejudices.
13 snips
Apr 7, 2017 • 20min
Ep. 17: Training an AI to Play Mario Kart 64
Kevin Hughes, an expert in AI development, takes us into the world of training a deep neural net to play Mario Kart 64. He shares his personal connection to the game and explains the unique challenges involved in teaching AI to navigate its mechanics. Discover how video games serve as innovative training grounds for AI, influencing strategies from chess to real-world tasks. Hughes also discusses future projects and invites listeners to contribute to ongoing AI developments, igniting excitement about the intersection of gaming and technology.
10 snips
Apr 4, 2017 • 24min
Ep. 16: Growth Opportunity - How AI Puts Lettuce in Your Salad Bowl
Lee Redden, CTO of Blue River Technology, discusses using AI in agriculture to revolutionize lettuce farming in the US. They explore the evolution of computing platforms, entrepreneurial ventures in robotics, and the innovative solutions AI offers for optimizing crop management and increasing productivity.
63 snips
Mar 25, 2017 • 39min
Ep. 15: How AI Beat the Pros at Texas Hold'em, and Why It Matters
A professor from the University of Alberta's team created an AI that beat poker pros in Texas Hold'em. The podcast explores how AI approaches poker differently, focusing on patience, psychological control, and bluffing. Insights from DeepStack reveal how AI utilizes intuition and reasoning to make quick decisions while playing against itself. Advancements in AI winning at Texas Hold'em and the potential applications of AI in real-world decision-making scenarios are also discussed.
32 snips
Mar 20, 2017 • 24min
Ep. 14: AI Takes Wing – Deep Learning Hears Once Extinct Bird
Matthew McKown, CEO of Conservation Metrics, discusses using deep learning to rediscover once-extinct birds and how GPU-powered AI aids biologists in data analysis. Topics include advancements in acoustic analysis for bird conservation, innovative use of sensors, and the application of deep learning in bird species identification. The podcast showcases the collaboration between AI technology and wildlife experts in monitoring and protecting diverse species.
28 snips
Mar 16, 2017 • 27min
Ep. 13: How AI Can Improve Brain Tumor Treatment
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.
23 snips
Mar 7, 2017 • 24min
Ep. 12: How AI Can Improve the Diagnosis and Treatment of Diseases
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.
16 snips
Feb 28, 2017 • 17min
Ep. 11: How a Computer Scientist Uses AI to Read Lost Literature
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.
Feb 22, 2017 • 16min
Ep. 10: Turning AI Loose on the Track with Roborace
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.
