Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social ...

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the ...

Automated Intent Classification Using Deep Learning Learn how to build and use a model that can help you understand and predict user intent in ways that simply aren’t possible manually.

Deep learning has emerged as the dominant driver of anti-spoofing accuracy. Techniques like MobileFaceNet integrated with ...

Cibaca continues to explore image classification and deep learning from a research-first perspective. Her ongoing work ...

The researchers report that their model achieved a 93% cross-validation score in binary classification, underscoring its potential as a reliable tool for public health monitoring. In contrast to ...

CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...

Participants performed touchscreen-based reaching tasks while wearing wireless motion sensors, which recorded linear acceleration, angular velocity, and roll-pitch-yaw orientation at millisecond ...