New Scientist

How an intern helped build the AI that shook the world

Chris Maddison was just an intern when he started working on the Go-playing AI that would eventually become AlphaGo. A decade later, he talks about that match against Lee Sedol and what came next ...

Alibaba releases multimodal Qwen3.5 mixture of experts model

Alibaba Group Holding Ltd. today released an artificial intelligence model that it says can outperform GPT-5.2 and Claude 4.5 Opus at some tasks. The new algorithm, Qwen3.5, is available on Hugging ...
eLife

Adjoint propagation of error signal through modular recurrent neural networks for biologically plausible learning

Biologically plausible learning mechanisms have implications for understanding brain functions and engineering intelligent systems. Inspired by the multi-scale recurrent connectivity in the brain, we ...

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 ...
IEEE

Optimal Control Theoretic Neural Optimizer: From Backpropagation to Dynamic Programming

Abstract: Optimization of deep neural networks (DNNs) has been driving modern advancements in artificial intelligence. With DNNs characterized by a prolonged sequence of nonlinear propagation, ...
Scientific Research Publishing

Li, M. (2024) Comprehensive Review of Backpropagation Neural Networks. Academic Journal of Science and Technology, 9, 150-154.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Scientific Research Publishing

Hecht-Nielsen (1989) Theory of the Backpropagation Neural Network. International Joint Conference on Neural Networks, New York, 18-22 June 1989, 593-605.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
RF Globalnet

Neural Networks And Predictive Analytics: Transforming Signal Integrity Analysis In Modern RF Systems

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling proactive system optimization and enhanced performance. The convergence of machine ...
IEEE

Edge Computing Application-Specific Integrated Circuit With Two Serial Communication Protocols and a Backpropagation Neural Network

Abstract: This study developed an edge computing application-specific integrated circuit (ASIC) with two serial communication protocols, adjustable weights, and a backpropagation neural network (BPNN) ...