Join Lukas Biewald on Gradient Dissent, an AI-focused podcast brought to you by Weights & Biases. Di
Chris shares some of the incredible work and innovations behind deep space exploration at NASA JPL a
From legged locomotion to autonomous driving, Vladlen explains how simulation and abstraction help u
Dominik shares the story and principles behind Vega and Vega-Lite, and explains how visualization an
How Cade got access to the stories behind some of the biggest advancements in AI, and the dynamic pl
Learn why traditional home security systems tend to fail and how Dave’s love of tinkering and deep l
Since reinforcement learning requires hefty compute resources, it can be tough to keep up without a
From teaching at Stanford to co-founding Coursera, insitro, and Engageli, Daphne Koller reflects on
Piero shares the story of how Ludwig was created, as well as the ins and outs of how Ludwig works an
How Rosanne is working to democratize AI research and improve diversity and fairness in the field th
In this episode of Gradient Dissent, Primer CEO Sean Gourley and Lukas Biewald sit down to talk abou
Peter Wang talks about his journey of being the CEO of and co-founding Anaconda, his perspective on
Chris shares his journey starting from playing in R.E.M, becoming interested in physics to leading W
Adrien shares his journey from making games that advance science (Eterna, Foldit) to creating a Stre
We're thrilled to have Peter Norvig join us to talk about the evolution of deep learning, his indust
The story of Ray and what lead Robert to go from reinforcement learning researcher to creating open-
Sofie and Ines walk us through how the new spaCy library helps build end to end SOTA natural languag
Supercharging computer vision model performance by generating years of training data in minutes. Da
Joaquin chats about scaling and democratizing AI at Facebook, while understanding fairness and algor
Richard Socher, ex-Chief Scientist at Salesforce, joins us to talk about The AI Economist, NLP prote
How Zack went from being a musician to professor, how medical applications of Machine Learning are d
