“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...
GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...
Abstract: Zeroing neural networks (ZNNs) play a crucial role in efficiently solving time-varying problems. Recently, ZNNs are integrated with many advanced control theories with a certain convergence ...
The Great Pyramid of Giza is often treated as a monument of stone, but it also functions as a monument of numbers. I see at ...
Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...