Will AI‑Driven Modeling Breakthrough in Semiconductor Design Change Keysight Technologies' (KEYS) Narrative?

Keysight Technologies has recently launched a new Machine Learning Toolkit within its Device Modeling Software Suite, using ...
TMCnet

MicroCloud Hologram Inc. Releases Learnable Quantum Spectral Filter Technology for Hybrid Graph Neural Networks

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
Ars Technica

Researchers isolate memorization from problem-solving in AI neural networks

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...
GitHub

What are neural networks?

What is a neural network? A neural network, also known as an artificial neural network, is a type of machine learning that works similarly to how the human brain processes information. Instead of ...
Frontiers

Optimization of deficit irrigation system for drip-irrigated corn in northern Xinjiang using dynamic reconstruction and dual physics-informed neural networks to drive AquaCrop

1 College of Hydraulic and Civil Engineering, Xinjiang Agricultural University, Urumqi, Xinjiang, China 2 Xinjiang Key Laboratory of Water Engineering Safety and Water Disaster Prevention, Urumqi, ...
IEEE

A Transparent Neural Network Solver for Optimal Power Flow Problem

Abstract: Effectively solving the optimal power flow (OPF) problem is crucial for power system operations. However, the OPF represents a nonconvex and intractable problem, and using traditional ...
GPS World

The use and promise of artificial intelligence in GNSS PNT

Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...
Scientific Research Publishing

Xu, Y., Hu, C., Wu, Q., Jian, S., Li, Z., Chen, Y. et al. (2022). Research on Particle Swarm Optimization in LSTM Neural Networks for Rainfall-Runoff Simulation. Journal of ...

ABSTRACT: Accurate precipitation forecasting is crucial for mitigating the impacts of extreme weather events and enhancing disaster preparedness. This study evaluates the performance of Long ...
IEEE

AI-Assisted Antenna Optimization: Integrating Evolutionary and Inverse Cascade Neural Networks With Differential Evolution

Abstract: Combining artificial intelligence (AI) technology with antenna optimization has long been a research direction with significant potential. However, most contributions in this area have ...