Chinese AI company DeepSeek released its newest flagship model, V4, in late May 2026, throwing down a direct challenge to ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

AI security cameras enhance smart home security using computer vision, behavioral anomaly detection, and facial recognition ...

Abstract: The classification of cognitive load is crucial to evaluate mental effort in various tasks. Compared to physiological measures such as electroencephalography (EEG), electrocardiography (ECG) ...

Abstract: Forest tree species classification has great significance for sustainable development of forest resource. Multisource remote sensing data provide abundant temporal, spatial, and spectral ...

Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

Researchers have examined the challenge of detecting and classifying dynamic road obstacles for autonomous driving systems ...

Struggling with microseismic signal classification in deep underground engineering? Researchers from Sichuan University ...

The research identifies several limitations that must be addressed for large-scale deployment. One of the primary challenges ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

Moving cannabis to a category of drugs that includes some common medicines will have implications for research, businesses and patients. By Jan Hoffman President Trump on Thursday ordered cannabis to ...