Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to ...
WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Abstract: Reservoir computing (RC) has attracted attention as an efficient recurrent neural network architecture due to its simplified training, requiring only its last perceptron readout layer to be ...
Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...
NEW YORK, NY – January 27, 2026 — Img Upscaler, an AI-based image enhancement platform, issued an informational update examining how image compression applied by major social media platforms affects ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.
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Abstract: Vision Transformers uniformly process all image patches, often leading to inefficiencies by learning unnecessary background information. To address this, this work propose a preprocessing ...
1 Henan Agricultural Information Data Intelligent Engineering Research Center, SIAS University, Zhengzhou, China 2 College of Computer, Xijing University, Xi’an, China Precise paddy pest image ...
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