Azeem Azhar's Exponential View

Beyond Deep Learning with Gary Marcus


Listen Later

Gary Marcus is well known as a deep learning critic. A neuroscientist, entrepreneur, and the author of “Rebooting AI: Building Artificial Intelligence We Can Trust,” Marcus believes that researchers need to move past deep learning in order to make true advances in machine intelligence. Marcus and Azeem Azhar discuss why, how, and when we can expect progress.

In this podcast, they also discuss:

  • What newborn ibexes can teach us about intelligence and learning.
  • How deep learning widens the gap between big companies and startups.
  • What we need for a breakthrough in AI.
  • Further reading:

    • How to Build Artificial Intelligence We Can Trust” (The New York Times, Gary Marcus and Ernest Davis, Sep. 6, 2019)
    • Deep Learning: A Critical Appraisal” (Cornell University, Gary Marcus, Jan. 2, 2018)
    • @garymarcus

      @azeem
      @exponentialview

      Exponential View newsletter


      Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

      ...more
      View all episodesView all episodes
      Download on the App Store

      Azeem Azhar's Exponential ViewBy Azeem Azhar

      • 4.9
      • 4.9
      • 4.9
      • 4.9
      • 4.9

      4.9

      601 ratings


      More shows like Azeem Azhar's Exponential View

      View all
      The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch by Harry Stebbings

      The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

      530 Listeners

      The McKinsey Podcast by McKinsey & Company

      The McKinsey Podcast

      391 Listeners

      a16z Podcast by Andreessen Horowitz

      a16z Podcast

      1,088 Listeners

      HBR IdeaCast by Harvard Business Review

      HBR IdeaCast

      165 Listeners

      The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) by Sam Charrington

      The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

      433 Listeners

      Cold Call by HBR Presents / Brian Kenny

      Cold Call

      200 Listeners

      Women at Work by Harvard Business Review

      Women at Work

      1,377 Listeners

      Dear HBR: by Harvard Business Review

      Dear HBR:

      744 Listeners

      After Hours by TED Audio Collective / Youngme Moon, Mihir Desai, & Felix Oberholzer-Gee

      After Hours

      1,251 Listeners

      Dwarkesh Podcast by Dwarkesh Patel

      Dwarkesh Podcast

      484 Listeners

      MIT Technology Review Narrated by MIT Technology Review

      MIT Technology Review Narrated

      258 Listeners

      Me, Myself, and AI by MIT Sloan Management Review

      Me, Myself, and AI

      105 Listeners

      Coaching Real Leaders by Harvard Business Review / Muriel Wilkins

      Coaching Real Leaders

      666 Listeners

      No Priors: Artificial Intelligence | Technology | Startups by Conviction

      No Priors: Artificial Intelligence | Technology | Startups

      133 Listeners

      Unsupervised Learning by by Redpoint Ventures

      Unsupervised Learning

      50 Listeners

      Possible by Reid Hoffman

      Possible

      121 Listeners

      The AI Daily Brief: Artificial Intelligence News and Analysis by Nathaniel Whittemore

      The AI Daily Brief: Artificial Intelligence News and Analysis

      557 Listeners

      BG2Pod with Brad Gerstner and Bill Gurley by BG2Pod

      BG2Pod with Brad Gerstner and Bill Gurley

      510 Listeners

      AI + a16z by a16z

      AI + a16z

      33 Listeners