Sean Carroll: The Nature of the Universe, Life, and Intelligence
Sean Carroll is a theoretical physicist at Caltech, specializing in quantum mechanics, gravity, and cosmology. He is the author of several popular books: one on the arrow of time called From Eternity ...
10 Juli 201935min
Jeff Hawkins: Thousand Brains Theory of Intelligence
Jeff Hawkins is the founder of Redwood Center for Theoretical Neuroscience in 2002 and Numenta in 2005. In his 2004 book titled On Intelligence, and in his research before and after, he and his team h...
1 Juli 20192h 9min
Rosalind Picard: Affective Computing, Emotion, Privacy, and Health
Rosalind Picard is a professor at MIT, director of the Affective Computing Research Group at the MIT Media Lab, and co-founder of two companies, Affectiva and Empatica. Over two decades ago she launch...
17 Juni 20191h
Gavin Miller: Adobe Research
Gavin Miller is the Head of Adobe Research. Adobe have empowered artists, designers, and creative minds from all professions working in the digital medium for over 30 years with software such as Photo...
10 Juni 20191h 9min
Rajat Monga: TensorFlow
Rajat Monga is an Engineering Director at Google, leading the TensorFlow team. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman...
3 Juni 20191h 11min
Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators
Chris Lattner is a senior director at Google working on several projects including CPU, GPU, TPU accelerators for TensorFlow, Swift for TensorFlow, and all kinds of machine learning compiler magic goi...
13 Maj 20191h 13min
Oriol Vinyals: DeepMind AlphaStar, StarCraft, Language, and Sequences
Oriol Vinyals is a senior research scientist at Google DeepMind. Before that he was at Google Brain and Berkeley. His research has been cited over 39,000 times. He is one of the most brilliant and imp...
29 Apr 20191h 46min
Ian Goodfellow: Generative Adversarial Networks (GANs)
Ian Goodfellow is the author of the popular textbook on deep learning (simply titled “Deep Learning”). He coined the term Generative Adversarial Networks (GANs) and with his 2014 paper is responsible ...
18 Apr 20191h 8min
