Many past machine learning approaches to microplastic detection have been criticised for relying on idealised datasets ...

As customer expectations evolve, businesses are seeking more advanced AI solutions that can bridge the gap between automated ...

His work reflects how AI-native platforms address singular challenges in financial data handling, fraud detection, and risk ...

Unlike conventional black-box AI models that flag anomalies without explanation, IFAT produces decision trees that map the ...

The patient knowledge gap is considered to be a critical shortcoming for the medical community, particularly at a time when ...

While AI can improve how legal practitioners function and how people access the justice system, Carla L. Reyes, a recognized ...

AI-native architecture empowers innovation that can scale beyond isolated pilots. Instead of siloed deployments, enterprises ...

It is important that organizations understand who trains their AI systems, what data was used and, just as importantly, what went into their algorithms’ recommendations. A high-quality explainable AI ...

A novel image-based deep learning approach achieves high accuracy and interpretability, offering potential for clinical ...