Overview Clear prompts help machine learning models become more accurate and reliable.Role-specific prompts generate focused ...

Regulatory scrutiny, geopolitical uncertainty and shifting supply chains will increase the need for insight-driven treasury ...

Researchers at Tohoku University have applied explainable machine learning to identify key factors for nickel-based catalysts ...

A Nigerian PhD student has developed a transparent machine learning system to help e-commerce businesses make data-driven decisions. Learn how this innovative model explains its predictions.

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

The United States represented over 20.4% of the global AI in Nutraceuticals Market value in 2024. Fueled by widespread health ...

Engineered nanozymes and explainable machine learning enable sensitive bacterial detection across complex conditions. The system uses three distinct signals and delivers transparent, verifiable ...