Cheung, K. , Siu, Y. and Chan, K. (2025) Dual-Dilated Large Kernel Convolution for Visual Attention Network. Intelligent ...

Development in artificial intelligence has paved the path for the integration of computational pathology in clinical workflow, improving the accuracy and reducing the workload for medical ...

Overview: Python dominates computer vision with its vast array of open-source libraries and active community support.These ...

Experts at MediaNama event warn India’s deepfake labelling rules could fail at scale and call for risk-based AI regulation.

A research team has developed ChatLeafDisease (ChatLD) — a training-free crop disease classification framework built on the ...

Driven by the rapid advancements in artificial intelligence, computational pathology is emerging as a critical engine in the era of precision ...

From satellites to deep space probes, missions increasingly depend on onboard AI/ML to analyze data, detect anomalies, and ...

A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because of factors including habitat alterations, natural resources being ...

Some bacterial species, particularly some linked to inflammation, are associated with coronary artery disease, a common form ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

Syntiant Corp., the recognized leader in low-power edge AI deployment, today introduced its dual-use vision transformer (ViT), delivering advanced target or vehicle detection, zero-shot classification ...

A deep learning model using brain scans and tests predicts alcohol use disorder risk in firefighters, enhancing mental health ...