Episodes (Page 25)
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Gavin Miller heads Adobe Research advancing creative software like Photoshop, Illustrator, and Premiere for 30+ years
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Rajat Monga leads TensorFlow team at Google, an open-source machine learning framework
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Chris Lattner discusses compiler infrastructure (LLVM, Clang) and their impact on software efficiency
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Oriol Vinyals discusses sequence-to-sequence learning and its applications in neural machine translation and language tasks
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Ian Goodfellow introduces Generative Adversarial Networks (GANs), explaining the framework where two neural networks compete to generate and discriminate synthetic data
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Elon Musk discusses Tesla's Autopilot technology, its capabilities, limitations, and the path toward full autonomous driving
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Greg Brockman discusses OpenAI's mission to develop safe and beneficial artificial general intelligence
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Eric Weinstein discusses revolutionary ideas spanning mathematics, physics, economics, and society, drawing from his work at Thiel Capital
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Leslie Kaelbling covers reinforcement learning theory and its applications to robotics and navigation problems
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Kyle Vogt discusses Cruise Automation's work on autonomous vehicle technology, one of robotics' greatest challenges
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Tomaso Poggio discusses his work at MIT's Center for Brains, Minds, and Machines bridging neuroscience and AI
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Tuomas Sandholm created Libratus, first AI to beat top human professionals at Heads-Up No-Limit Texas Hold'em
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Juergen Schmidhuber discusses his co-creation of LSTMs, which power billions of devices for speech recognition and translation
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Pieter Abbeel, UC Berkeley robotics professor, discusses how robots can learn to understand and interact with the world
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Stuart Russell addresses long-term AI safety and alignment challenges for artificial general intelligence
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Eric Schmidt, former Google CEO (2001-2011) and executive chairman (2011-2017), discusses his leadership of the company
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Jeff Atwood, co-founder of Stack Overflow and Stack Exchange, discusses building platforms that democratize knowledge
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Guido van Rossum reflects on creating Python and its design philosophy emphasizing readability and simplicity
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Vladimir Vapnik discusses foundational concepts: support vector machines, VC theory, and statistical learning theory
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Yoshua Bengio's pivotal role in advancing deep learning alongside Geoffrey Hinton and Yann LeCun over three decades