

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. More information: https://ai-podcast.nvidia.com/
Episodes
Mentioned books

9 snips
Aug 30, 2017 • 24min
Ep. 37: Sergey Levine on How Deep Learning Will Unleash a Robotics Revolution
Sergey Levine, an assistant professor at UC Berkeley, dives into the fascinating world of autonomous learning in robots. He discusses how robots can evolve from performing specific tasks to teaching themselves and each other. The conversation covers the complexities of reinforcement learning, comparing robot adaptability to human learning. Sergey also envisions a future where robots enhance human life, assist the disabled, and tackle hazardous jobs. With transformative potential on the horizon, he highlights both the challenges and the exciting possibilities in robotics.

16 snips
Aug 23, 2017 • 23min
Ep. 36: How AI Is Reshaping the Payments Industry
Vadim Kutsyy, a distinguished architect and data science lead at PayPal, dives into the transformative power of AI in the payments industry. He discusses how machine learning is revolutionizing transaction security and fraud detection, enhancing customer experience in the process. Kutsyy highlights the shift from traditional models to advanced algorithms, emphasizing the importance of proprietary data. He also touches on how AI personalizes user experiences on platforms like PayPal and eBay, paving the way for innovative marketing strategies.

Aug 17, 2017 • 26min
Ep. 35: Jetson Interns Assemble! Interns Discuss Amazing AI Robots They're Building
Mokshith Voodarla, Mark Thies, and Isaac Wilcove, high school students and talented interns at NVIDIA, share their exciting AI robot projects. Mokshith is crafting a delivery robot, while Mark is developing a trash-sorting bot, both using the Jetson platform. Isaac's focus is on creating a self-driving RC car for emergency rescues. They discuss the challenges of robotics, like navigation and object recognition, and their hopes for the future of AI, highlighting the potential to solve real-world problems.

22 snips
Aug 8, 2017 • 21min
Ep. 34: Pierre Barreau Explains How Aiva Uses Deep Learning to Make Music
Pierre Barreau, head of Aiva Technologies, dives into the revolutionary intersection of AI and music. He shares how deep learning techniques enable AI to compose original orchestral pieces, akin to great composers. The discussion highlights the crucial role of human curation in refining AI outputs and addresses copyright challenges surrounding AI-generated music. Barreau also explores future possibilities, emphasizing AI's potential to personalize music for video games, creating immersive experiences tailored to individual preferences.

15 snips
Aug 2, 2017 • 19min
Ep. 33: Why Warehouses Could Be the Sweet Spot for Flying Robots
Marc Gyongosi, CEO and founder of IFM (Intelligent Flying Machines), shares insights on the revolutionary use of drones in warehouses. He discusses how flying robots can optimize inventory management by ensuring stock is always in the right place. Marc highlights the technological advancements that allow these drones to navigate complex environments and conduct precise inventory checks. The conversation also touches on the future of warehouse automation, the challenges of indoor robotics, and the balance between personal passion and business in the world of drone racing.

43 snips
Jul 26, 2017 • 31min
Ep. 32: Deep Learning Pioneer Andrew Ng on AI as the New Electricity
Andrew Ng, a deep learning pioneer and founder of Deeplearning.ai, shares his insights on the transformative potential of AI, likening it to the arrival of electricity over a century ago. He discusses the pervasive role of AI in industries like retail and healthcare, emphasizing the need for ongoing education in career advancement. Ng also highlights the revolutionary impact of GPU technology on deep learning, recounting a pivotal experiment that recognized cat images. His engaging anecdotes underscore the imperative for businesses to develop comprehensive AI strategies.

15 snips
Jul 18, 2017 • 19min
Ep. 31: Could an AI Win the Nobel Prize?
Paul Wigley, a researcher and physicist at the Australian National University, discusses the groundbreaking use of AI in creating Bose-Einstein condensates. He poses fascinating questions about whether AI could act as an independent scientist deserving of accolades like a Nobel Prize. The conversation dives into the unique properties of these condensates and the challenges of integrating AI into physics, emphasizing the need for collaboration between humans and machines to spur scientific innovation.

14 snips
Jul 13, 2017 • 32min
Ep. 30: Not Hotdog, When Ridiculous AI Fiction Becomes Hilarious Reality
Tim Anglade, consultant for HBO's "Silicon Valley," discusses the creation of the quirky "Not HotDog" app, blending humor with deep learning. He shares the amusing journey from a funny sketch to a functioning application. The conversation dives into how consultants help shape the narrative of tech-themed shows, the challenges of teaching AI to distinguish hot dogs from other foods, and the philosophical questions around such classifications. Anglade also touches on user expectations and the absurdities of AI in everyday life, from food to potential medical uses.

10 snips
Jul 6, 2017 • 15min
Ep. 29: TuSimple's Xiaodi Hou Talks About Bringing Driverless Trucks to Highways
Xiaodi Hou, CTO and co-founder of TuSimple, discusses the vital role of autonomous trucks in modern logistics. He shares insights on the challenges faced in implementing driverless technology, particularly in complex urban environments like Beijing. The conversation touches on high labor costs and the trucking industry's struggles in China. Hou also highlights the contrasting regulatory landscapes in the U.S. and China, emphasizing the need for innovative safety measures and advancements in computer vision to ensure reliability on highways.

8 snips
Jun 28, 2017 • 14min
Ep. 28: How Syed Ahmed Taught AI to Translate Sign Language
Syed Ahmed, an undergraduate student, is pioneering the use of AI to bridge communication gaps for the deaf community. He discusses developing a deep learning model that translates American Sign Language into English. The conversation explores innovative technologies aiding sign language users, the challenges of optimizing translations, and the importance of diverse datasets. Syed also highlights the ongoing need for research to improve communication effectiveness and the versatile applications of AI in visual information translation.


