Machine Learning Street Talk (MLST) cover image

Prof. BERT DE VRIES - ON ACTIVE INFERENCE

Machine Learning Street Talk (MLST)

00:00

Exploring Probabilistic Inference and the Future of Intelligence

This chapter explores the complexities of probabilistic inference and the computational challenges it presents, particularly with normalized distributions. It introduces Markov chain Monte Carlo methods and emphasizes variational inference as a more efficient optimization technique, while also contemplating the future of intelligence evolving beyond human capabilities.

Transcript
Play full episode

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app