Gradient Dissent: Conversations on AI

Updated: 25 Apr 2024 • 101 episodes
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Join Lukas Biewald on Gradient Dissent, an AI-focused podcast brought to you by Weights & Biases. Dive into fascinating conversations with industry giants from NVIDIA, Meta, Google, Lyft, OpenAI, and more. Explore the cutting-edge of AI and learn the intricacies of bringing models into production.

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In this episode of Gradient Dissent, Isomorphic Labs Chief AI Officer Max Jaderberg, and Chief Technology Officer Sergei Yakneen join our host Lukas Biewald to discuss the advancements in biotech and drug discovery being unlocked with machine learning. With backgrounds in advanced AI research at DeepMind, Max and Serge

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🚀 Discover the cutting-edge AI hardware development for enterprises in this episode of Gradient Dissent, featuring Rodrigo Liang, CEO of SambaNova Systems.  Rodrigo Liang’s journey from Oracle to founding SambaNova is a tale of innovation and determination. In this episode, Rodrigo discusses the importance of speciali

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🚀 This episode of Gradient Dissent welcomes Edo Liberty, the mind behind Pinecone's revolutionary vector database technology. As a former leader at Amazon AI Labs and Yahoo's New York lab, Edo Liberty's extensive background in AI research and development showcases the complexities behind vector databases and their ess

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In this episode of Gradient Dissent, we explore the revolutionary impact of AI across industries with Clara Shih, CEO of Salesforce AI and Founder of Hearsay Systems.  Dive into Salesforce AI's cutting-edge approach to customer service through AI, the importance of a trust-first strategy, and the future of AI policies

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In the newest episode of Gradient Dissent, we explore the intersecting worlds of AI and Healthcare with John Halamka, President of the Mayo Clinic Platform. Journey with us down John Halamka's remarkable path from his early tech startup days to leading innovations as the President of the Mayo Clinic Platform, one of th

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In the newest episode of Gradient Dissent, Chelsea Finn, Assistant Professor at Stanford's Computer Science Department, discusses the forefront of robotics and machine learning. Discover her groundbreaking work, where two-armed robots learn to cook shrimp (messes included!), and discuss how robotic learning could trans

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