Скачать или смотреть An introduction to the 2024 Nobel Prize in Physics by Louis Kang

The 2024 Nobel Prizes have been awarded for a series of AI-related achievements that have caused a great sensation. In Physics, John J. Hopfield and Geoffrey E. Hinton were recognized for their fundamental discoveries and inventions that enabled machine learning with artificial neural networks. At the foundation of their accomplishments lie the contributions of mathematical neuroscientists in Japan, including RIKEN Honorary Research Fellow Shun-ichi Amari.
On December 2, 2024, RIKEN CBS Unit Leader Louis Kang and Shun-ichi Amari gave special lectures for RIKEN members. This video is a re-recorded version of the introductory lecture by Dr. Kang, followed by Dr. Amari’s keynote talk titled “Artificial Intelligence and Mathematical Neuroscience.”    • 甘利俊一「人工知能と数理脳科学」－2024年ノーベル物理学賞に関する特別講演   (Recording available in Japanese only.)

“Building and exploring memory landscapes: An introduction to the 2024 Nobel Prize in Physics” by Louis Kang, Unit Leader, Neural Circuits and Computations Unit
The most remarkable feats of intelligence known today are performed by networks of many neurons. The 2024 Nobel Prize in Physics recognized crucial work towards advancing artificial neural networks, which also provided insights into neural circuits in the brain. John Hopfield created a network that can memorize experiences shown to it and retrieve these memories from incomplete cues. Geoffrey Hinton then modified Hopfield’s network to learn general features from previous experiences, instead of memorizing each one exactly, and even imagine new ones. These artificial networks use a similar principle for connecting neurons as brain networks do, and from a physics perspective, it enables new experiences to carve hills and valleys into memory landscapes stored by the networks. Looking backward, these influential developments follow from a line of previous research, including networks developed by the next speaker Shun-ichi Amari. Looking forward, their impact is only beginning to be realized, as we create more capable artificial systems and understand more complex brain computations.