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(138)

Peter Wang — Anaconda, Python, and Scientific Computing

Peter Wang — Anaconda, Python, and Scientific Computing

Peter Wang talks about his journey of being the CEO of and co-founding Anaconda, his perspective on the Python programming language, and its use for scientific computing.Peter Wang has been developing...

21 Jan 202150min

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

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