AttendSeg is a new neural network architecture from DarwinAI designed to perform image segmentation on low-power/capacity computing devices.

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.

The integration of deep learning in neuroimaging enhances diagnostic capabilities, offering new insights into neurological disorders and treatment responses.

A research team has developed a diagnostic system that uses artificial intelligence (AI) to accurately identify the type of ...

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

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the disease, but ...

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 ...

Automated Intent Classification Using Deep Learning (Part 2) Discover how to build an automated intent classification model by leveraging pre-training data using a BERT encoder, BigQuery, and ...