Pretrained foundation models for diagnosing nonmelanoma skin cancer outperformed baseline machine learning models.

A new machine learning algorithm excels at interpreting optical spectroscopy data of molecules, materials and disease ...

Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the "light ...

Industrial Equipment Fault Detection, Fault Diagnosis, Support Vector Machine, Decision Tree CART, Random Forest Share and Cite: Cai, G. (2025) Research on Fault Detection and Classification of ...

Santa Clara, California - As artificial intelligence and machine learning evolve and mature, the emergence of synthetic data ...

AI is embedded in frontline diagnostics and decision-making systems. Machine learning models, trained on clinical datasets, ...

In the current fast-changing world of work, it is a savvy career strategy to learn Artificial Intelligence (AI) ...

In today's global economy, characterized by complex supply chains and escalating trade tensions, tariff evasion has emerged as a significant threat ...

A machine learning-based UPI fraud detection system that analyzes transaction patterns to identify and flag suspicious activity. The project includes data preprocessing, model training, and a ...