Deep learning is a subset of machine learning (ML) that uses neural networks, significant amounts of computing power, and ...

Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance.

In this special guest feature, Arvin Hsu, Senior Director of Data Science and Machine Learning for GoodData, discusses that despite the two terms being used interchangeably, deep learning and machine ...

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial intelligence (AI), has increased exponentially, creating a serious social ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

Linux has long been the backbone of modern computing, serving as the foundation for servers, cloud infrastructures, embedded systems, and supercomputers. As artificial intelligence (AI) and machine ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...