The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Imagine a self-driving car navigating downtown traffic. To avoid a collision, it must judge whether the pedestrian at the ...

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Context engineering—the art of shaping the data, metadata, and relationships that feed AI—may become the most critical ...

Core math topics like linear algebra, statistics, and calculus form the foundation of data science.• Real-world projects and ...

The prediction and modeling of ionospheric total electron content (TEC) have consistently been a focal point for researchers, as it holds significant implications for satellite positioning, navigation ...

Conformal prediction offers an alternative framework for representing machine learning outputs instead of point prediction scores. This approach has the potential to improve transparency and reduce ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Conclusion Prediction models of EC recurrence built with ML and DL analytics had better performance than models with clinical and pathologic data alone. Prospective validation is required to determine ...