Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

The topic of AI and its implications for orthopedic surgeons became of high personal importance when Bill Gates predicted that AI would replace physicians and others within the next decade. As an ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

The future of healthcare isn’t about humans versus machines. It’s about humans with machines, working side by side.

While AI models may exhibit addiction-like behaviors, the technology is also proving to be a powerful ally in combating real ...

SMBs tap agentic AI to rebuild legacy WordPress sites, refresh outdated web experiences, and optimize Shopify stores for efficiency and growth Every small business can harness the power of tech ...

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 ...