Subject ▸ artificial intelligence

Artificial Intelligence diagrams

Why Machine Learning is not Artificial Intelligence? It is simple: because ML is only a contributing branch of AI. If we follow Norvig and Russell book -and other authors-, saying that machine learning is part of artificial intelligence is grossly misleading, ML is a contributing discipline of AI, just like search, reasoning, decision making, natural language processing, image recognition, robotics, etc. For instance, ML by itself cannot be intelligent because lacks reasoning, logic, and doesn’t interact with the environment.

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Transcript of interview to John Hopfield by Lex Fridman

John Hopfield: Physics View of the Mind and Neurobiology | AI Podcast #76 with Lex Fridman | Feb 29, 2020 Introduction by Lex Fridman The following is a conversation with John Hopfield, professor of Princeton, whose life’s work weave beautifully through Biology, Chemistry, Neuroscience and Physics. Most crucially he saw the messy world of Biology through the piercing eyes of a physicist. He’s perhaps best known for his work on associative neural networks, now known as Hopfield Networks, that were one of the early ideas that catalyzed the development of the modern field of deep learning.

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Transcript of interview to Stuart Russell by Lex Fridman

Stuart Russell: Long-Term Future of Artificial Intelligence | Artificial Intelligence (AI) Podcast | Dec 9, 2018 This is a quick transcript of the interview of Stuart Russell by Lex Fridman. The interview has been published in YouTube as well as a podcast. This is a transcript I wanted to do for a long time. Stuart Russell is an authority on AI and coauthor of one of the best books on Artificial Intelligence.

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Transcript of interview of Noam Chomsky by Lex Fridman

Noam Chomsky: Language, Cognition, and Deep Learning | Artificial Intelligence (AI) Podcast | Nov 29, 2019 This is a quick transcript of the interview of Noam Chomsky by Lex Fridman. The interview has been published in YouTube as well as a podcast. Everything that Professor Noam Chomsky said in the interview is really breathtaking. Some of the paragraphs may need to read two to three times to grasp its meaning. Take a good look at the parts concerning neural networks and deep learning.

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Transcript of interview of Ian Goodfellow by Lex Fridman

Ian Goodfellow: Generative Adversarial Networks (GANs) | MIT Artificial Intelligence (AI) Podcast | April 18, 2019 This is a quick transcript of the interview of Ian Goodfellow by Lex Fridman. The interview has been published in YouTube as well as a podcast. Goodfellow points at so many areas in the future where ML and AI could bring astonishing discoveries. Enjoy! Alfonso R. Reyes. The Woodlands, Texas. Interview to Ian Goodfellow The following is a conversation with Ian Goodfellow.

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Transcript of interview of Peter Norvig by Lex Fridman

Peter Norvig: Artificial Intelligence: A Modern Approach | Artificial Intelligence (AI) Podcast | Sep 30, 2019 This is a quick transcript of the interview of Peter Norvig by Lex Fridman. I find this interview so interesting and revealing, that I decided to take on the task of making a transcript of the interview published in YouTube. Enjoy. Alfonso R. Reyes. Houston, Texas. Introduction by Lex Fridman The following is a conversation with Peter Norvig.

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