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
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
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
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 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, 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
Zack Chase Lipton — The Medical Machine Learning Landscape
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 ...
17 Sep 202059min
