The investing world has a significant problem when it comes to data about small and medium-sized enterprises (SMEs). This has nothing to do with data quality or accuracy — it’ ...

A team of researchers from the Massachusetts Institute of Technology used Frontier to chart the isospin density of a neutron ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Despite its smaller size, DeepSeek-R1-0528-Qwen3-8B beats Google’s Gemini 2.5 Flash on a tough math test called AIME 2025 and ...

For decades, engineers have utilized Petri nets to develop automated systems with specific functional requirements or ...

we propose a novel graph U-Net with topology-feature awareness pooling (the so-called TFAP graph U-Net) for HSI classification considering a deep network to extract compelling features and ...

Department of Economic Management, Guangzhou Institute of Science and Technology, Guangzhou 510540, P. R. China Guangdong Characteristic Finance and High-Quality Development Research Center, Guangzhou ...

This work investigated task offloading methods in Vehicular Fog Computing (VFC) networks and proposes a Federated learning-supported Deep Q-Learning-based (FedDQL) technique for optimal offloading of ...

Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, ChangChun 130012, China ...

The idea that there is some kind of secret “deep state” is absolutely ridiculous. Ask any local federal worker.

A research team from Kumamoto University has developed a promising deep learning model that significantly enhances ... However, conventional Graph Neural Networks (GNNs) often struggle with accuracy ...