Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

SCAN project aims to build European GNSS-based and AI-driven technologies to detect and assess roadway pavement problems.

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified blueprint for researchers to navigate classification, clustering, ...

The Impact of AI in Banking and Financial Services, evaluates how machine learning and natural language processing can be ...

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

Using a brand new data analysis tool, astronomers identified more than 800 strange and previously undocumented space objects.

Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant drug.

Smartphone cameras are leaning hard on AI, but is it helping or hurting image quality? I look at why hardware still matters ...