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

When two-dimensional electron systems are subjected to magnetic fields at low temperatures, they can exhibit interesting ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Blue connected dots forming a neural network, black outline of balloons, and a shopping cart with a notification. Ideal for technology, data analysis, AI, ecommerce, machine learning, scientific ...

Convolutional Neural Networks (ConvNets or CNNs) are a class of neural networks algorithms that are mostly used in visual recognition tasks such as image classification, object detection, and image ...

Abstract: Several means for improving the performance and training of neural networks for classification are proposed. Crossvalidation is used as a tool for ...

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 ...

Muscimol, a GABA-A (GABAA) receptor agonist, enhances GABA's inhibitory effect on neuronal activity by activating GABAA ...

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods A ...