The Gradient

Home
Chat
Articles
The Update
The Gradient Podcast
Archive
About
NewTopDiscussion
Marc Bellemare: Distributional Reinforcement LearningOn progress, benchmarking, and doing impactful research in reinforcement learning.
daniel bashir
2
François Chollet: Keras and Measures of IntelligenceOn the definition of intelligence, good software engineering, and where AI needs to go.
daniel bashir
8
2
Yoshua Bengio: The Past, Present, and Future of Deep LearningOn a distinguished career, deep learning's promise, and directions for the field.
daniel bashir
10
8
Kanjun Qiu and Josh Albrecht: Generally IntelligentOn approaches to intelligence, benchmarking, and founding/building companies.
daniel bashir
5
Nathan Benaich: The State of AI ReportOn trends in AI, international startup ecosystems, and contributing to the community.
daniel bashir
3
Matt Sheehan: China's AI Strategy and GovernanceOn China's AI ambitions, strategy, and governance.
daniel bashir
3
4
Luis Voloch: AI and BiologyOn how contemporary AI research can accelerate fundamental science.
daniel bashir
1
Daniel and Andrey select some favorite episodes
daniel bashir
and
Andrey Kurenkov
Zachary Lipton: Where Machine Learning Falls ShortA conversation with Zachary Lipton, Assistant Professor of Computer Science at Carnegie Mellon University.
daniel bashir
4
Stuart Russell: The Foundations of Artificial IntelligenceA conversation with Stuart Russell, Professor at UC Berkeley and author of Artificial Intelligence: A Modern Approach.
daniel bashir
Varun Ganapathi: AKASA, AI and HealthcareA conversation with Varun Ganapathi, co-founder and CTO at AKASA.
daniel bashir
4
Joel Lehman: Open-Endedness and Evolution through Large ModelsA conversation with Joel Lehman, machine learning scientist formerly of OpenAI and Uber AI Labs.
daniel bashir
3
© 2022 The Gradient
Privacy ∙ Terms ∙ Collection notice
Publish on Substack Get the app
Substack is the home for great writing