From symbols to AI pair programmers đź’»
How did we get from symbolic AI to deep learning models that help you write code (i.e., GitHub and OpenAI’s new Copilot)? That’s what Chris and Daniel discuss in this episode about the history and future of deep learning (with some help from an article recently published in ACM and written by the luminaries of deep learning).
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Featuring:
Show Notes:
Books
- “Human-in-the-Loop Machine Learning” by Robert (Munro) Monarch (use podpracticalAI19 for 40% off)
- “A Thousand Brains” by Jeff Hawkins
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Creators and Guests
Host
Chris Benson
Cohost @ Practical AI Podcast • Principal AI / Autonomy Research Engineer specializing in fully autonomous UxS swarming with embodied intelligence.
