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