A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...

On Wednesday, Google's DeepMind AI research lab announced AlphaGenome, an AI model designed to identify disease markers in large volumes of genetic data. It's badly needed in a field that has produced ...

AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

Researchers at Forschungszentrum Jülich and Heinrich Heine University Düsseldorf have developed a tool that could ...

Topological defects govern how many advanced materials behave, but predicting them has traditionally required slow, resource-intensive simulations. Researchers at Chungnam National University have ...

Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...