3min chapter

Machine Learning Street Talk (MLST) cover image

#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]

Machine Learning Street Talk (MLST)

CHAPTER

Is There a Contiguity Aspect in Machine Learning?

The architectural principle is the translation invariance, the translation symmetry. It's just the fact that you are sampling data that is generated in or from a metric space that has a well-behaved metric. So I would say that sort of place cells and grid cells and many other thinking about Chris' friend Tim Barron's work, for example, finding grid-like structures everywhere in abstract spaces. And I'd also say, if you just look at the history of machine learning, there are particular kinds of Markov blankets that characterize the very structure of neural networks.

00:00

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode