The explosive growth of compute power in cloud data centers is facilitating new applications of machine learning to help companies better leverage their data. In association withAWS In the past decade ...

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

Amazon Monitron provides customers an end-to-end machine monitoring solution comprised of sensors, gateway, and machine learning service to detect abnormal equipment conditions that may require ...

Seattle-based Kaskada claims to be the first company to train machines using event-based data and real-time data being fed from streaming sources. Database-as-a-service (DBaaS) provider DataStax on ...

Machine learning, one of the driving components of artificial intelligence, has emerged as a leading factor in digital business transformation. As enterprises seek to harness the oceans of data and ...

Microsoft’s recent Azure Open Source Day showed off a new reference application built using cloud-native tools and services, with a focus on Microsoft’s own open source tools. The app was built to be ...

Data volumes continue to explode with the global “datasphere” – the total amount of data created, captured, replicated and consumed – growing at more than 20 percent a year to reach approximately 291 ...

A Machine Learning (ML) pipeline is used to assist in the automation of machine learning processes. They work by allowing a sequence of data to be transformed and correlated in a model that can be ...

The authors devise an efficient quantum approach to address the van der Waals interactions due to photoexcitations by approximating the Bethe-Salpeter equation. Both attractive/repulsive forces can ...