Artwork

A tartalmat a Singularity University biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Singularity University vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
Player FM - Podcast alkalmazás
Lépjen offline állapotba az Player FM alkalmazással!

FBL99: Karl Friston - How Free Energy Shapes the Future of AI

35:37
 
Megosztás
 

Manage episode 362155797 series 3410203
A tartalmat a Singularity University biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Singularity University vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

This week my guest is professor of neuroscience at University College London, Karl Friston. Viewed by many as one of the world’s most influential neuroscientists, Friston rose to prominence when he pioneered one of the key techniques that allows neuroscientists to analyze brain activity. And as if that wasn’t enough, he has since developed the Free Energy Principle, which some see as monumental to the field as Darwin’s theory of evolution was for biology and genetics.

It’s this work on the Free Energy principle that will be the bulk of our conversation in this episode, and I warn you that this is probably one of the most intellectually challenging conversations we’ve had on the show. To help you navigate this, I want to offer just a quick overview that may aid in understanding the ideas. In essence, Friston’s work roughly states that entities that exist must track information from the world around them, create an internal model of that information, and then use that model to navigate the world in a way that reduces the difference (the error) between what was actually experienced and what one’s model predicted.

While this concept may seem simple on the surface, the actual science behind it is detailed, complex, and holds immense influence for how we develop artificial intelligence.

Learn more about Friston and his work at fil.ion.ucl.ac.uk/~karl/

**

Learn more about Singularity: ⁠⁠⁠⁠⁠su.org⁠⁠⁠⁠⁠

Host:⁠⁠⁠⁠⁠ Steven Parton⁠⁠⁠⁠⁠ - ⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠ /⁠⁠⁠⁠⁠ Twitter⁠⁠⁠⁠⁠

Music by: Amine el Filali

  continue reading

120 epizódok

Artwork
iconMegosztás
 
Manage episode 362155797 series 3410203
A tartalmat a Singularity University biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Singularity University vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

This week my guest is professor of neuroscience at University College London, Karl Friston. Viewed by many as one of the world’s most influential neuroscientists, Friston rose to prominence when he pioneered one of the key techniques that allows neuroscientists to analyze brain activity. And as if that wasn’t enough, he has since developed the Free Energy Principle, which some see as monumental to the field as Darwin’s theory of evolution was for biology and genetics.

It’s this work on the Free Energy principle that will be the bulk of our conversation in this episode, and I warn you that this is probably one of the most intellectually challenging conversations we’ve had on the show. To help you navigate this, I want to offer just a quick overview that may aid in understanding the ideas. In essence, Friston’s work roughly states that entities that exist must track information from the world around them, create an internal model of that information, and then use that model to navigate the world in a way that reduces the difference (the error) between what was actually experienced and what one’s model predicted.

While this concept may seem simple on the surface, the actual science behind it is detailed, complex, and holds immense influence for how we develop artificial intelligence.

Learn more about Friston and his work at fil.ion.ucl.ac.uk/~karl/

**

Learn more about Singularity: ⁠⁠⁠⁠⁠su.org⁠⁠⁠⁠⁠

Host:⁠⁠⁠⁠⁠ Steven Parton⁠⁠⁠⁠⁠ - ⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠ /⁠⁠⁠⁠⁠ Twitter⁠⁠⁠⁠⁠

Music by: Amine el Filali

  continue reading

120 epizódok

Semua episod

×
 
Loading …

Üdvözlünk a Player FM-nél!

A Player FM lejátszó az internetet böngészi a kiváló minőségű podcastok után, hogy ön élvezhesse azokat. Ez a legjobb podcast-alkalmazás, Androidon, iPhone-on és a weben is működik. Jelentkezzen be az feliratkozások szinkronizálásához az eszközök között.

 

Gyors referencia kézikönyv