IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

Overview: Model development requires structured deployment and monitoring to remain reliable over time.Consistent data and environment control prevent accuracy ...

Technologies grouped under big data, artificial intelligence and machine learning are impacting virtually every aspect of life today. More importantly for the U.S. military and for the companies in ...

Data processing these days is exhibiting a split personality. ‘Cloud’ computing grabs the headlines for sheer scale and computing power, while ‘edge’ computing puts the processing at the ‘coal face’ ...

Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...

Six companies will join the Catalyst Accelerator’s latest cohort to develop AI-driven technologies for Space Force ISR ...

Recent advancements in machine learning have significantly impacted the domain of high-speed electronic systems. By leveraging state‐of‐the‐art algorithms and novel network architectures, researchers ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.

Ultrafiltration membranes used in pharmaceutical manufacturing and other industrial processes have long relied on separating molecules by size. Now, Cornell researchers have created porous materials ...

A system can learn from data, identify patterns and take decisions without any human intervention – the core of machine learning (ML) revolves around this idea. ML is a subset of artificial ...