Machine learning is powering most of the recent advancements in AI, including computer vision, natural language processing, predictive analytics, autonomous systems, and a wide range of applications.

Traditional algorithms power complicated computational tools like machine learning. A new approach, called algorithms with predictions, uses the power of machine learning to improve algorithms.

Today, companies across every industry are deploying millions of machine learning models across multiple lines of business. Soon every enterprise will take part. Machine learning has been around for ...

IDC predicts spending on AI systems will reach $97.9B in 2023, more than two and one-half times the $37.5B that will be spent in 2019. Senior management teams at enterprises who are Gartner clients ...

Machine learning (ML) is a method of data analysis that automates analytical model building. It’s a branch of artificial intelligence (AI) based on the idea that systems can learn from data, identify ...

The modern GPU is more than a graphics device. Technologies such as the open-standard OpenCL and Nvidia’s CUDA turn the many small processors in a GPU into a parallel computing fabric, allowing ...

Many people have begun experimenting with using machine learning in embedded systems as the two technologies have become more prominent in today’s society. That approach allows for overcoming many of ...

Artificial intelligence has been a hot technology area in recent years and machine learning, a subset of AI, is one of the most important segments of the whole AI arena. Machine learning is the ...