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, ...
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UPS Statement on U.S. Network Optimization

UPS has an unwavering commitment to serving our customers around the world. As we announced in January, we are making strategic changes to optimize the volume in our network, improve efficiency and ...
IEEE

Optimization Over Trained Neural Networks: Difference-of-Convex Algorithm and Application to Data Center Scheduling

Abstract: When solving decision-making problems with mathematical optimization, some constraints or objectives may lack analytic expressions but can be approximated from the data. When an ...
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 ...
IEEE

New Approaches for Network Topology Optimization Using Deep Reinforcement Learning and Graph Neural Network

Abstract: The exponential growth in Internet-connected devices has escalated the demand for optimized network topologies to ensure high performance. Traditional optimization methods often fall short ...