On Point: Artificial Intelligence and Deep Learning

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  1. Are the robots waking up?


    Are we nearing the singularity, the point where philosophers say the computer programs we create will be smarter than us?

    Artificial intelligence is all around us. In phones, in cars, in our homes. Voice recognition systems, predicative algorithms, GPS. Sometimes they may not work very well, but they are improving all the time, you might even say they are learning.

    Come on an entertaining journey through the ethics of artificial intelligence or AI, the science behind intelligent computer programs and robotics. Some software engineers think about the philosophy of the artificial intelligence they are creating, others really don’t care.

    —Huffduffed by Clampants

  2. Peter Norvig: Artificial Intelligence: A Modern Approach | Artificial Intelligence (AI) Podcast

    Peter Norvig is a research director at Google and the co-author with Stuart Russell of the book Artificial Intelligence: A Modern Approach that educated and inspired a whole generation of researchers including myself to get into the field. This conversation is part of the Artificial Intelligence podcast.

    INFO: Podcast website: https://lexfridman.com/ai iTunes: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/category/ai/feed/ Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41

    EPISODE LINKS: Peter web: http://norvig.com/

    OUTLINE: 0:00 - Introduction 0:37 - Artificial Intelligence: A Modern Approach 9:11 - Covering the entire field of AI 15:42 - Expert systems and knowledge representation 18:31 - Explainable AI 23:15 - Trust 25:47 - Education - Intro to AI - MOOC 32:43 - Learning to program in 10 years 37:12 - Changing nature of mastery 40:01 - Code review 41:17 - How have you changed as a programmer 43:05 - LISP 47:41 - Python 48:32 - Early days of Google Search 53:24 - What does it take to build human-level intelligence 55:14 - Her 57:00 - Test of intelligence 58:41 - Future threats from AI 1:00:58 - Exciting open problems…

    Original video: https://www.youtube.com/watch?v=_VPxEcT_Adc
    Downloaded by http://huffduff-video.snarfed.org/ on Wed, 02 Oct 2019 11:11:37 GMT Available for 30 days after download

    —Huffduffed by meta

  3. James Barrat on the future of Artificial Intelligence

    James Barrat, author of Our Final Invention: Artificial Intelligence and the End of the Human Era, discusses the future of Artificial Intelligence (AI). Barrat takes a look at how to create friendly AI with human characteristics, which other countries are developing AI, and what we could expect with the arrival of the Singularity. He also touches on the evolution of AI and how companies like Google and IBM and government entities like DARPA and the NSA are developing artificial general intelligence devices right now.

    —Huffduffed by Clampants

  4. The Dawn of Artificial Intelligence

    In this episode of the Waking Up podcast, Sam Harris speaks with computer scientist Stuart Russell about the challenge of building artificial intelligence that is compatible with human well-being.

    Stuart Russell is a Professor of Computer Science and Smith-Zadeh Professor in Engineering, University of California, Berkeley and Adjunct Professor of Neurological Surgery, University of California, San Francisco. He is the author (with Peter Norvig) of Artificial Intelligence: A Modern Approach.


    Tagged with improvement

    —Huffduffed by ykgoon

  5. MIT Deep Learning Basics: Introduction and Overview

    An introductory lecture for MIT course 6.S094 on the basics of deep learning including a few key ideas, subfields, and the big picture of why neural networks have inspired and energized an entire new generation of researchers. For more lecture videos on deep learning, reinforcement learning (RL), artificial intelligence (AI & AGI), and podcast conversations, visit our website or follow TensorFlow code tutorials on our GitHub repo.

    INFO: Website: https://deeplearning.mit.edu GitHub: https://github.com/lexfridman/mit-deep-learning Slides: http://bit.ly/deep-learning-basics-slides Playlist: http://bit.ly/deep-learning-playlist Blog post: https://link.medium.com/TkE476jw2T

    OUTLINE: 0:00 - Introduction 0:53 - Deep learning in one slide 4:55 - History of ideas and tools 9:43 - Simple example in TensorFlow 11:36 - TensorFlow in one slide 13:32 - Deep learning is representation learning 16:02 - Why deep learning (and why not) 22:00 - Challenges for supervised learning 38:27 - Key low-level concepts 46:15 - Higher-level methods 1:06:00 - Toward artificial general intelligence

    CONNECT: - If you enjoyed this video, please subscribe to this channel. - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www….

    Original video: https://www.youtube.com/watch?v=O5xeyoRL95U&list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf
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  6. Robots: The Future of Artificial Intelligence

    In this episode we stray into the realm of artificial intelligence, what it means, its early beginnings and where it may be going in the future. We speak with Kristinn R. Thórisson from Reykjavik University in Iceland who’s been involved in the AI scene for the last 20 years. He tells us about some of the great advances, but also some of the disappointments in the field, and where he thinks AI will be used in the near future. We then attempt a closing definition on the question “What is a Robot?” with Prof. Wendelin Reich from the Swedish Collegium for Advanced Study at Uppsala University, Sweden.

    Huffduffed from http://www.robotspodcast.com/podcast/2010/03/robots-future-of-artificial-html/

    —Huffduffed by jrsinclair

  7. Hugo de Garis on Singularity 1 on 1: Are We Building Gods or Terminators?

    Hugo de Garis is the past director of the Artificial Brain Lab (ABL) at Xiamen University in China. Best known for his doomsday book The Artilect War, Dr. de Garis has always been on my wish-list of future guests on Singularity 1 on 1. Finally, a few weeks ago I managed to catch him for a 90 minutes interview via Skype.

    During our discussion with Dr. de Garis we cover a wide variety of topics such as: how and why he got interested in artificial intelligence; Moore’s Law and the laws of physics; the hardware and software requirements for artificial intelligence; why cutting edge experts are often missing the writing on the wall; emerging intelligence and other approaches to AI; Dr. Henry Markram‘s Blue Brain Project; the stakes in building AI and his concepts of ArtIlects, Cosmists and Terrans; cosmology, the Fermi Paradox and the Drake equation; the advance of robotics and the political, ethical, legal and existential implications thereof; species dominance as the major issue of the 21st century; the technological singularity and our chances of surviving it in the context of fast and slow take-off.

    —Huffduffed by Clampants

  8. Building the future of artificial intelligence for everyone (Google I/O ‘18)

    In this Keynote Session, some of Google’s leading minds on artificial intelligence and machine learning discuss their vision for a future where artificial intelligence can improve the lives of everyone.

    Watch more machine learning sessions from I/O ‘18 here → https://goo.gl/9MB2o7 See all the sessions from Google I/O ‘18 here → https://goo.gl/q1Tr8x

    Subscribe to the Google Developers channel → http://goo.gl/mQyv5L


    Original video: https://www.youtube.com/watch?v=WWT0ltBf3MU
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