In 540p-to-1080p comparisons, NSS improves stability and detail retention. It performs well in scenes with fast motion, ...

Having incorporated AI technology in a myriad of ways in the development of drugs, Creative Biolabs remains an active ...

New AI tool accurately identifies multiple drivers of disease in cells and predicts therapies that can restore cells to healthy function. The advance moves away from traditional drug discovery ...

Abstract: Networks appear across various domains, and identifying central nodes in temporal networks is more challenging than in static networks. Temporal betweenness centrality is the widely used ...

Modern AI writing tools generally adopt neural network architectures with hundreds of billions ... establishing a feature extraction network with over 100 layers to form a dynamically updated ...

Summary: Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks. Unlike traditional methods that only cluster nodes, this approach groups ...

From a neuroscience perspective, artificial neural networks are regarded as abstract models of biological neurons, yet they rely on biologically implausible backpropagation for training. Energy-based ...

Alongside text-based large language models (LLMs), including ChatGPT in industrial fields, GNN (Graph Neural Network)-based graph AI models that analyze unstructured data such as financial ...

State Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Centre for Computational Chemistry and Research Institute of Industrial Catalysis, East China University of Science and ...

Abstract: Liquid tank sloshing simulation is crucial for understanding and mitigating the dynamic behavior of fluids in various engineering applications, such as aerospace, marine, and automotive ...