Brain Inspired

BI 198 Tony Zador: Neuroscience Principles to Improve AI


Listen Later

Support the show to get full episodes, full archive, and join the Discord community.

The Transmitter is an online publication that aims to deliver useful information, insights and tools to build bridges across neuroscience and advance research. Visit thetransmitter.org to explore the latest neuroscience news and perspectives, written by journalists and scientists.

Read more about our partnership.

Sign up for the “Brain Inspired” email alerts to be notified every time a new “Brain Inspired” episode is released: https://www.thetransmitter.org/newsletters/

To explore more neuroscience news and perspectives, visit thetransmitter.org.

Tony Zador runs the Zador lab at Cold Spring Harbor Laboratory. You've heard him on Brain Inspired a few times in the past, most recently in a panel discussion I moderated at this past COSYNE conference - a conference Tony co-founded 20 years ago. As you'll hear, Tony's current and past interests and research endeavors are of a wide variety, but today we focus mostly on his thoughts on NeuroAI.

We're in a huge AI hype cycle right now, for good reason, and there's a lot of talk in the neuroscience world about whether neuroscience has anything of value to provide AI engineers - and how much value, if any, neuroscience has provided in the past.

Tony is team neuroscience. You'll hear him discuss why in this episode, especially when it comes to ways in which development and evolution might inspire better data efficiency, looking to animals in general to understand how they coordinate numerous objective functions to achieve their intelligent behaviors - something Tony calls alignment - and using spikes in AI models to increase energy efficiency.

  • Zador Lab
  • Twitter: @TonyZador
  • Previous episodes:
    • BI 187: COSYNE 2024 Neuro-AI Panel.
    • BI 125 Doris Tsao, Tony Zador, Blake Richards: NAISys
    • BI 034 Tony Zador: How DNA and Evolution Can Inform AI
    • Related papers
      • Catalyzing next-generation Artificial Intelligence through NeuroAI.
      • Encoding innate ability through a genomic bottleneck.
      • Essays
        • NeuroAI: A field born from the symbiosis between neuroscience, AI.
        • What the brain can teach artificial neural networks.
        • Read the transcript.

          0:00 - Intro

          3:28 - "Neuro-AI"
          12:48 - Visual cognition history
          18:24 - Information theory in neuroscience
          20:47 - Necessary steps for progress
          24:34 - Neuro-AI models and cognition
          35:47 - Animals for inspiring AI
          41:48 - What we want AI to do
          46:01 - Development and AI
          59:03 - Robots
          1:25:10 - Catalyzing the next generation of AI

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

          Brain InspiredBy Paul Middlebrooks

          • 4.9
          • 4.9
          • 4.9
          • 4.9
          • 4.9

          4.9

          128 ratings


          More shows like Brain Inspired

          View all
          Making Sense with Sam Harris by Sam Harris

          Making Sense with Sam Harris

          26,286 Listeners

          Into the Impossible With Brian Keating by Big Bang Productions Inc.

          Into the Impossible With Brian Keating

          1,035 Listeners

          80,000 Hours Podcast by Rob, Luisa, and the 80,000 Hours team

          80,000 Hours Podcast

          290 Listeners

          The Michael Shermer Show by Michael Shermer

          The Michael Shermer Show

          894 Listeners

          Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas by Sean Carroll | Wondery

          Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas

          4,098 Listeners

          Your Undivided Attention by Tristan Harris and Aza Raskin, The Center for Humane Technology

          Your Undivided Attention

          1,412 Listeners

          The Jim Rutt Show by The Jim Rutt Show

          The Jim Rutt Show

          254 Listeners

          Google DeepMind: The Podcast by Hannah Fry

          Google DeepMind: The Podcast

          188 Listeners

          COMPLEXITY by Santa Fe Institute

          COMPLEXITY

          279 Listeners

          Machine Learning Street Talk (MLST) by Machine Learning Street Talk (MLST)

          Machine Learning Street Talk (MLST)

          92 Listeners

          Dwarkesh Podcast by Dwarkesh Patel

          Dwarkesh Podcast

          320 Listeners

          Clearer Thinking with Spencer Greenberg by Spencer Greenberg

          Clearer Thinking with Spencer Greenberg

          131 Listeners

          The Joy of Why by Steven Strogatz, Janna Levin and Quanta Magazine

          The Joy of Why

          424 Listeners

          Robinson's Podcast by Robinson Erhardt

          Robinson's Podcast

          193 Listeners

          Theoretical Neuroscience Podcast by Gaute Einevoll

          Theoretical Neuroscience Podcast

          7 Listeners