A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

LogAI is a one-stop open source library for log analytics and intelligence. LogAI supports various log analytics and log intelligence tasks such as log summarization, log clustering, log anomaly ...

Many controlled processes, such as biochemical ones, are repetitive, similar to batch-organized processes. They generate Optimal Control Problems (OCPs) solved by optimal controllers, which often ...

Abstract: Machine Learning (ML) has been extensively utilized in the Measurement While Drilling (MWD) technology in the coal industry. However, there existed uncertainty about whether mainstream ...

FORT HUACHUCA, Ariz. — Under the leadership of the Data Science Directorate’s director, Col. Michael Landin, the U.S. Army Network Enterprise Technology Command launched its new analytics environment, ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on an implementation of the technique that emphasizes simplicity and ease-of-modification over robustness and ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...

Developing faster algorithms is an important but elusive goal for data scientists. The ability to accelerate complex computing tasks and reduce latency has far-reaching ramifications in areas such as ...