Therefore, we propose an attention-based graph neural network news recommendation model. In our model, muti-channel convolutional neural network is used to generate news representations, and recurrent ...

It now appears that neural nets may be the next frontier in the advance of computing technology as a whole. But what are ...

The IBS-Yonsei research team introduces a novel Lp-Convolution method at ICLR 2025. A team of researchers from the (IBS), ...

Join the professionals needed in all industries to maintain and protect networks and data ... Discover the intersection of computer science and statistics in a field that uses quantitative and ...

They are developing a Quantum Convolutional Neural Network (QCNN) architecture to enhance the performance of traditional computer vision tasks using quantum mechanics principles. The Quantum ...

Want to understand how neural networks actually learn? This video breaks down forward and backward propagation in a simple, visual way—perfect for beginners and aspiring AI engineers!

The neural computation minor is open to students in any major at CMU. The primary objective of the minor is to encourage students in biology and psychology to take computer science, engineering and ...

Department of Environmental Science and Engineering, California Institute of Technology, Pasadena, California 91125, United States Department of Chemical Engineering, California Institute of ...

A deep learning-based system that detects facial expressions from webcam input and classifies them into seven emotions — Angry, Disgust, Fear, Happy, Neutral, Sad, and Surprise — using a CNN model and ...

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To efficiently analyze human behaviour in such settings, this study proposes a novel lightweight computer vision technique, LCNNCV-HBA (Lightweight Convolutional Neural Network-Based Computer Vision ...

China is developing an ambitious undersea network to improve navigation, provide real-time environmental monitoring, and potentially track submarines and drones. The sprawling network of floating ...