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 ...

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 ...
Beebom

Who Created AI? Tracing the History of Artificial Intelligence

AI wasn't created by one person, instead, it evolved over decades. British mathematician Alan Turing shaped the idea of AI by asking "Can machines think?" and proposing the Turing test. In 1956, at ...
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 ...
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 ...
IEEE

CNV_IWOABP: Collaboration of improved whale optimization algorithm and BP neural networks for copy number variations

Abstract: Copy number variation (CNV) is a remarkable manifestation of genomic structural variations that affect human health. However, CNV detection in low coverage and low purity data is one of the ...
IEEE

A general backpropagation algorithm for feedforward neural networks learning

Abstract: A general backpropagation algorithm is proposed for feedforward neural network learning with time varying inputs. The Lyapunov function approach is used to rigorously analyze the convergence ...