The free-energy principle: the road to strong AI
演讲者
时间
2024年07月12日 15:30 至 17:00
地点
A3-3-301
线上
Zoom 787 662 9899
(BIMSA)
摘要
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.
演讲者介绍
宋丛威于2011年在浙江大学理学院取得应用数学硕士学位，于2014年在浙江大学数学系取得基础数学博士学位，2014-2021年在浙江工业大学之江学院任讲师，2021至今任BIMSA助理研究员。主要研究方向：小波分析，调和分析，机器学习。