Hi Guys,
Statistical physics pioneer Dr. Dhar & Neural Nets Pioneer Dr. Hopfield won Boltzmann Prize this year.
1. One of the most interesting 1983 paper by Dr. Dhar is Directed diffusion in a percolation network - https://iopscience.iop.org/article/10.1088/0022-3719/16/8/014/meta
2. Tank DW, Hopfield JJ. 1987 - ANALOG NEURAL NETWORKS WITH APPLICATIONS TO SPEECH RECOGNITION PROBLEMS - https://collaborate.princeton.edu/en/publications/concentration-information-in-time-analog-neural-networks-with-app
Recent Speech mining models & Diffusion models which Nvidia (Tutorial on Denoising Diffusion-based Generative Modeling: Foundations and Applications - https://www.youtube.com/watch?v=cS6JQpEY9cs&t=3471s )
& other are publishing... the basic mathematics behind ML comes from these legends.
Dr. Yau mentioned similar comments about explainable ML.. in 2022 World Artificial Intelligence Congress which happened in China on AI & Math - https://www.yicaiglobal.com/news/exclusive-math-offers-deeper-understanding-of-ai-uses-chinese-fields-medalist-says
Yau mentioned Prof. Andrew Yao, a Turing Prize winner at Tsinghua University, who has done a lot of work to prove that some algorithms are unlikely to work, and although his efforts have no direct benefit for developing industrial applications, it can give us a deeper understanding of computing...
Lot of applications of Dr. Dhar's paper are also depicted in swarm intelligence...
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