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

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

The core value of unsupervised learning lies in its ability for data-driven exploration, making it particularly suitable for ...

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

1. From 'Simulating Humans' to 'Data-Driven': The Ultimate Goal and Implementation Path of AI ...

Leaders across various industries are turning to machine learning to gain valuable insights and make informed decisions.

Researchers say their results suggest that the risks of fentanyl abuse and environmental pollution should be closely scrutinized and carefully reevaluated.

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 ...