Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Why is a dual-mode IMU sensor needed for some applications? Accelerometer inertial measurement units (IMUs) are useful in ...

By adopting a Data-First approach, you can build connected intelligence while providing AI analysis to automate ...

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 ...

AI-powered, interactive knowledge bases are transforming static documentation into dynamic, contextual experiences that learn from every user interaction.

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

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 ...

The authors identify artificial intelligence as a turning point for food safety research. High-throughput sequencing, ...