Why Deep Networks and Brains Learn Similar Fe...

Voice AI has gotten remarkably good, but natural conversation remains a high bar. Small delays, awkward interruptions, or the wrong tone can quickly break the illusion—and adding vision and visual presence only raises the stakes. In this episode, Alex Smola, co-founder and CEO of ...  Show more

As reasoning models consume more tokens and AI systems become more expensive to run, understanding what those tokens actually buy is becoming increasingly important. In this episode, Stanford professor and Big Spin co-founder Chris Potts joins us to discuss AI tokenomics and his ...  Show more

In this episode of our podcast, we dive deep into the fascinating world of Graph Neural Networks.

First, we explore Hierarchical Networks, which allow for the efficient representation and analysis of complex graph structures by breaking them down into smaller, more mana ...

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What does it mean to understand a neural network? That's the question posted on this arXiv paper. Kyle speaks with Tim Lillicrap

Stanford AI Lab PhDs Andrey Kurenkov and Sharon Zhou discuss this week's major AI news stories. Check out all the stories discussed here and more at www.skynettoday.com Theme: Deliberate Thought Kevin MacLeod (incompetech.com)See Privacy Policy at https://art19.com/privacy and Ca ...  Show more

What can the human brain teach us about AI? And what can AI teach us about our own intelligence? These questions underpin a lot of AI research. In this first episode, Hannah meets the DeepMind Neuroscience team to explore these connections and discovers how our brains are like bi ...  Show more