Why Deep Networks and Brains Learn Similar Fe...

For more than a decade, AI has advanced by training ever-larger models on ever-larger datasets. But as high-quality training data becomes harder to find and pretraining grows increasingly expensive, researchers are looking for new ways to keep foundation models improving. In this ...  Show more

In this episode, Alex Wiltschko, founder and CEO of Osmo, joins the show to discuss his goal of giving computers a sense of smell and what it takes to build olfactory intelligence. We explore the science behind smell, from the hundreds of olfactory receptors in the human nose to ...  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