The free-energy principle: the road to strong AI
Speaker
Time
Friday, July 12, 2024 3:30 PM - 5:00 PM
Venue
A3-3-301
Online
Zoom 787 662 9899
(BIMSA)
Abstract
Inspired by Karl Friston's seminal paper "The Free-Energy Principle: A Unified Brain Theory?", the presenter recognized the pivotal role of the free-energy concept in comprehending the human mind and advancing artificial intelligence technologies. This presentation aims to elucidate the intricate theories of the brain, drawing connections between free energy and cognitive processes. By sharing these insights, I aspire to ignite a broader interest in artificial intelligence research and encourage more individuals to explore this fascinating intersection of neuroscience and AI. Through this discussion, we will delve into how understanding brain function can drive innovation in AI, ultimately contributing to the development of more sophisticated and human-like artificial intelligence systems.
Speaker Intro
Congwei Song received the master degree in applied mathematics from the Institute of Science in Zhejiang University of Technology, and the Ph.D. degree in basic mathematics from the Department of Mathematics, Zhejiang University, worked in Zhijiang College of Zhejiang University of Technology as an assistant from 2014 to 2021, from 2021 on, worked in BIMSA as asistant researcher. His research interests include machine learning, as well as wavelet analysis and harmonic analysis.