Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
By adopting a Data-First approach, you can build connected intelligence while providing AI analysis to automate ...
Overview AI enhances farm productivity by detecting crop diseases early and optimizing resource usage efficiently.Livestock ...
Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...
Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...