Object recognition software is used by law enforcement to help identify suspects, by self-driving cars to navigate roadways ...

Researchers have applied object recognition technology to track changes in brain cell structure and provide new insights into how the brain responds to heroin use, withdrawal and relapse.

The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance ...

The to begin with thought when choosing a neural organize engineering is the nature of the issue you are attempting to unravel. Is it a classification assignment, a relapse issue, a arrangement ...

AI, particularly deep learning and machine ... from automating the detection and classification of cellular structures and pathological features to enhancing image quality and resolution. Despite ...

Recent advances in robotics and machine learning have enabled the automation of many real-world tasks, including various ...

An international team of researchers has developed BiaPy, an open-code artificial intelligence platform that facilitates the ...

Using machine learning, researchers automatically calibrate a comprehensive climate model, improving simulations of difficult features and taking steps toward more reliable climate projections.

Roshan Kenia presented a poster on how AI-CNet3D enhances glaucoma classification using cross-attention networks while ...

In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and ...