Video-Based Anomaly Detection, Urban Surveillance, Scale-Projective Ambiguity, Riemannian Manifold, Scale-Covariant Tracking, ...

Envariax represents the next generation of algorithmic trading innovation — a technology-driven model built to analyze vast ...

A machine-learning breakthrough could lift the veil on Earth’s early history—and supercharge the search for alien life ...

The second approach uses generative AI to produce data. Modern generative models are trained on vast amounts of data and can ...

The study demonstrates machine learning's role in predicting compressive strength of rice husk ash concrete, aiding the shift ...

Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

A new system could overhaul maps that misclassify hundreds of thousands of smallholder coffee and cacao farmers as working in ...

The company, formerly known as Doosan, is the third largest machine tool company and made its entry onto the industrial 3D ...

Artificial intelligence (AI) is set to transform the care of women with cancer. From early detection via digital phenotyping ...

Over the last decade, technology-assisted review (TAR) has become a preferred choice in the e-discovery toolkit. Now, as ...

Former AANP President Stephen Ferrara, DNP, discusses how AI can be a collaborative tool to mitigate administrative burden and clinical burnout, potentially improving patient outcomes.

The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports ...