Gradient Dissent: Conversations on AI

Gradient Dissent: Conversations on AI

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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Episoder(137)

Chris Anderson — Robocars, Drones, and WIRED Magazine

Chris Anderson — 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 drone...

14 Jan 20211h 3min

Adrien Treuille — Building Blazingly Fast Tools That People Love

Adrien Treuille — Building Blazingly Fast Tools That People Love

Adrien shares his journey from making games that advance science (Eterna, Foldit) to creating a Streamlit, an open-source app framework enabling ML/Data practitioners to easily build powerful and inte...

4 Des 202045min

Peter Norvig – Singularity Is in the Eye of the Beholder

Peter Norvig – 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 resea...

20 Nov 202047min

Robert Nishihara — The State of Distributed Computing in ML

Robert Nishihara — The State of Distributed Computing in ML

The story of Ray and what lead Robert to go from reinforcement learning researcher to creating open-source tools for machine learning and beyondRobert is currently working on Ray, a high-performance d...

13 Nov 202035min

Ines & Sofie — Building Industrial-Strength NLP Pipelines

Ines & Sofie — Building Industrial-Strength NLP Pipelines

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...

29 Okt 202058min

Daeil Kim — The Unreasonable Effectiveness of Synthetic Data

Daeil Kim — The Unreasonable Effectiveness of Synthetic Data

Supercharging computer vision model performance by generating years of training data in minutes.Daeil Kim is the co-founder and CEO of AI.Reverie(https://aireverie.com/), a startup that specializes in...

15 Okt 202037min

Joaquin Candela — Definitions of Fairness

Joaquin Candela — Definitions of Fairness

Joaquin chats about scaling and democratizing AI at Facebook, while understanding fairness and algorithmic bias.---Joaquin Quiñonero Candela is Distinguished Tech Lead for Responsible AI at Facebook, ...

1 Okt 20201h 19min

Richard Socher — The Challenges of Making ML Work in the Real World

Richard Socher — The Challenges of Making ML Work in the Real World

Richard Socher, ex-Chief Scientist at Salesforce, joins us to talk about The AI Economist, NLP protein generation and biggest challenge in making ML work in the real world.Richard Socher was the Chief...

29 Sep 202050min

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