These challenges inspired Zou and his lab group to develop their new framework. AIDED operates in a closed-loop system where a genetic algorithm — a method that mimics natural selection to find ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected. The new framework sheds light on how scientists could fuse strategies ...

If you used InvNet, please cite us with the following: [1] Yufei Li, Yicheng Liao, Liang Zhao, Minjie Chen, Xiongfei Wang, Lars Nordström, Prateek Mittal, and H. Vincent Poor, "Machine Learning At the ...

In this paper, a general framework is proposed to assist signal integrity (SI) design through machine learning (ML) modeling and optimization. The four main aspects of the framework, namely, the ...

PyTorch is a deep learning framework designed to simplify AI model development. First released by Meta AI, it was built to improve the flexibility of deep learning research.

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

Spectrum scarcity has surfaced as a prominent concern in wireless radio communications with the emergence of new technologies over the past few years. As a result, there is a growing need for better ...

Improving hurricane modeling with physics-informed machine learning. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2024 / 11 / 241119132424.htm ...

A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences has developed a machine learning (ML) framework to analyze virus ...