Gradient Dissent - A Machine Learning Podcast by W&B

Chris Anderson on Robocars, Drones and WIRED Magazine

Chris shares his journey starting from playing in R.E.M, becoming interested in physics to leading WIRED Magazine for 11 years. His robot fascination lead to starting a company that manufactures drones, and creating a community democratizing self-driving cars. Chris Anderson ...

Peter Norvig, Google’s Director of Research – singularity is in the eye of the beholder

We're thrilled to have Peter Norvig join us to talk about the evolution of deep learning, his industry-defining book, his work at Google, and what he thinks the future holds for machine learning research. Peter Norvig is a Director of ...

Building industrial strength NLP pipelines with Ines and Sofie of Explosion AI

Sofie and Ines walk us through how the new spaCy library helps build end to end SOTA natural language processing workflows. Ines Montani is the co-founder of Explosion AI, a digital studio specializing in tools for AI technology. She's a ...

There isn’t one definition of fairness with Joaquin Candela Tech Lead for Responsible AI at Facebook

Scaling and democratizing AI at Facebook and understanding fairness and algorithmic bias. Joaquin Quiñonero Candela is the Tech Lead for Responsible AI, a Director of Engineering in AI at Facebook where he built the Applied Machine Learning team which powers ...

Taking hard lefts and the Medical ML Landscape with Zack Chase Lipton

How Zack went from being a musician to professor, how medical applications of Machine Learning are developing, and the challenges of counteracting bias in real world applications. Zachary Chase Lipton is an assistant professor of Operations Research and Machine Learning ...

Cultivating Machine Learning Communities with Suzanah Ilić

Building Level 5 Autonomous Vehicles with Lyft's Anantha Kancherla

As Lyft’s VP of Engineering, Software at Level 5, Autonomous Vehicle Program, Anantha Kancherla has a birds-eye view on what it takes to make self-driving cars work in the real world. He previously worked on Windows at Microsoft focusing on ...

ML Research and Production Pipelines with Chip Huyen

Chip Huyen is a writer and computer scientist currently working at a startup that focuses on machine learning production pipelines. Previously, she’s worked at NVIDIA, Netflix, and Primer. She helped launch Coc Coc - Vietnam’s second most popular web browser ...

Slow down and change one thing at a time - Advancing AI research with Josh Tobin

Josh Tobin is a researcher working at the intersection of machine learning and robotics. His research focuses on applying deep reinforcement learning, generative models, and synthetic data to problems in robotic perception and control. Additionally, he co-organizes a machine learning ...

Building tools for Machine Learning with Hamel Husain

Hamel Husain is a Staff Machine Learning Engineer at Github. He has extensive experience building data analytics and predictive modeling solutions for a wide range of industries, including: hospitality, telecom, retail, restaurant, entertainment and finance. He has built large data ...

Machine learning across industries with Vicki Boykis

Building trustworthy AI systems and combating potential malicious use – A conversation w/ Jack Clark

Jack Clark is the Strategy and Communications Director at OpenAI and formerly worked as the world’s only neural network reporter at Bloomberg. Lukas and Jack discuss AI policy, ethics, and the responsibilities of AI researchers. Toward Trustworthy AI Development: Mechanisms ...

Nicolas Koumchatzky - Machine Learning in Production for Self Driving Cars