NVIDIA AI Podcast

AI is being used to enhance and improve life in varied and often incredible ways. But what if we could use AI to improve the end of our lives, too? Our guest today is Anand Avati, a graduate student in the Artificial Intelligence Lab at Stanford University's Computer Science Department. Anand is co-author of a research paper entitled "Improving Palliative Care with Deep Learning" which details his team's use of a deep learning system to predict patient mortality with the aim of improving access to palliative care for critically-ill patients.

Ken MacLeod, an award-winning science fiction author known for examining the interplay between humanity and technology, dives into fascinating themes in this conversation. He discusses his latest work, which features sentient robots and digital consciousness. The chat navigates the evolution of the internet and its impact on society, touching on the ethics of AI and capitalism. MacLeod shares insights from his writing journey, including a new novella set in an alternate Scotland, revealing his unique blend of speculative fiction and real-world influences.

Love. The search for love. The search even for someone you just kind of like. It's been the subject of poems, novels, songs, you name it. For as long as humans have been around, they've been looking for love. But what if you could use AI to automate the process? To help you with everything from finding your true match, to swiping through all those not quite true matches. Oscar Alsing, our guest on this episode, will talk about how he's used AI, and Tinder, to do just that.

Timnit Gebru, a postdoctoral researcher at Microsoft and a Stanford AI Lab PhD graduate, dives into the intriguing intersection of AI and voting behaviors. She discusses how Google Street View data can predict demographic trends by analyzing vehicle types in neighborhoods. With a focus on the challenges of fine-grained image recognition and the ethics of AI, she emphasizes the need for fairness and accountability in algorithms. Gebru also shares fascinating insights from her research, underscoring the biases that can influence societal outcomes.

Monty Barlow, Machine Learning Director at Cambridge Consultants, discusses the groundbreaking Vincent AI application that transforms simple sketches into stunning artworks inspired by famous masters. He explains how Generative Adversarial Networks (GANs) enable this creative magic, analyzing over 8,000 paintings. Monty also shares insights on using GANs to overcome challenges in medical data and his personal journey in AI, highlighting the revolutionary potential of deep learning across various industries.

Nick Hynes, a PhD student at UC Berkeley, dives into the fascinating world of food recognition and AI. He discusses his innovative Pick to Recipe app that helps identify recipes from food images. Learn how deep learning is revolutionizing meal recognition and influencing healthier eating habits through nutritional analysis. Hynes also shares insights on the challenges of recognizing complex dishes and the role of human creativity in optimizing recipes for flavor and nutrition, all while offering a glimpse into the future of tech-driven culinary experiences.

Eric Risser, co-founder of Artomatix, shares insights on how their AI technology revolutionizes art creation for virtual worlds. He discusses the concept of 'zombie graphs' that showcase how machines can assist artists in developing unique zombie characters. Risser explores the evolution of texture synthesis, highlighting neural networks' role in making art creation more accessible. He envisions a future where AI democratizes creativity, allowing anyone to express their artistic side in gaming and design.

Matt Scott, Co-founder and CTO of Malong Technologies, shares insights on their groundbreaking deep learning solutions for product recognition. He discusses the challenges of labeling data for effective AI training and the innovative use of weakly supervised learning. Scott highlights how their API-driven technology enhances retail experiences, enabling features like frictionless checkouts and accurate product tagging. His journey from New York to Beijing showcases the entrepreneurial spirit driving advancements in visual recognition technology and its potential to revolutionize shopping.

In this discussion, Goran Vukšić and Dennis Jensen, both from Tattoodo.com, share insights on their AI-powered tattoo design app that is revolutionizing tattoo selection. They delve into how deep learning tailors tattoo recommendations to individual tastes and enhances the booking process. The duo also highlights the personal significance of tattoos and explore the future impact of AI in the industry. Additionally, they touch on augmented reality and machine learning, offering advice for aspiring tech innovators.

Joining the podcast is Zack Thoutt, a data scientist from Boulder, Colorado, famous for using AI to predict outcomes in the Game of Thrones saga. He dives into the intriguing use of neural networks to analyze narrative paths in the series. Zack shares quirky results and unexpected character fates, like Cersei's demise and Ned's survival. The discussion also highlights AI's role in creative writing, exploring how it can help generate endless narratives while facing challenges in coherence. Plus, there's a fun look at fan theories surrounding the series.