TMCnet

WiMi Explores the Application of Neural Networks in Parameter Optimization for Dual-Field Quantum Key Distribution

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announced that they are researching the use of neural ...
AlphaGalileo

AdapGNN: A New Framework Enhances Explainability of Graph Neural Networks for Molecular Property Prediction

Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...
The Tech Edvocate

How to create neural network

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...
Nature

Graph neural network-based drug-drug interaction prediction

When multiple drugs are taken simultaneously, the activity and effectiveness of one drug can be affected by another substance, usually another drug. Drug interactions are categorized into synergism ...
Nature

Convolutional neural networks using preoperative CT to predict short-term recurrence after incisional hernia repair

Convolutional neural networks (CNNs) are deep neural networks that use convolutional layers to extract spatial features from data. The application of CNNs in assessment of postoperative outcomes of ...
EurekAlert!

Neural network trained to predict crises in Russian stock market

Economists from HSE University have developed a neural network model that can predict the onset of a short-term stock market crisis with over 83% accuracy, one day in advance. The model performs well ...