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 ...

Sethupathy, U. (2025) Risk-Aware AI Models for Financial Fraud Detection: Scalable Inference from Big Transactional Data.

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 ...

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 ...

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 ...

Abstract: Production cost minimization (PCM) problem in power system faces critical challenges in achieving rapid solving. The conventional time-domain decomposition (c–TDD) approach is widely used to ...

Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 2, Zürich 8093, Switzerland ...

Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...