Very few areas of industry will escape the influence of artificial intelligence, with many applications involving security ...

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

A new AI-enhanced framework combines machine learning validation with life-cycle assessment to cut plastic waste emissions by ...

Abstract: Synthetic aperture radar (SAR) image target detection and recognition (SAR-TDR) tasks have become research hot spots in the remote sensing application. These targets include ships, vehicles, ...

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

Today, the plastics industry stands at the threshold of a technological revolution, with artificial intelligence and machine learning poised to transform everything from material development to ...

When OpenAI released “study mode” in July 2025, the company touted ChatGPT’s educational benefits. “When ChatGPT is prompted to teach or tutor, it can significantly improve academic performance,” the ...

Heterogeneous compute and a new paradigm for AI at the edge. In partnership withArm Artificial Intelligence (AI) is emerging in everyday use cases, thanks to advances in foundational models, more ...

In educational psychology, theories about how the brain processes information have long influenced teaching practices and curriculum development. One such influential framework is the PASS theory, ...