EurekAlert!

Smart monitoring for a greener future: New AI-driven model predicts lithium-ion battery health with unprecedented accuracy

An accurate assessment of the state of health (SOH) is the cornerstone for guaranteeing the long-term stable operation of ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
pv magazine International

PV energy forecasting based on genetic algorithms, dynamic neural network

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...
Science Daily

Hidden geometry of learning: Neural networks think alike

Engineers have uncovered an unexpected pattern in how neural networks -- the systems leading today's AI revolution -- learn, suggesting an answer to one of the most important unanswered questions in ...
InfoWorld

The most popular neural network styles and how they work

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
Devdiscourse

E-commerce shifts from forecasting to autonomous AI decision-making

Online shopping has evolved into a high-speed data battlefield where every click, scroll, and purchase feeds algorithms that decide what consumers see next. Retail giants now depend on advanced ...