Enterprise software is undergoing a major transformation as machine learning becomes deeply embedded into core digital products. Organizations are no longer using ML only for experimental analytics; ...

The folks at Univa have enhanced Grid Engine. The company's goal was making its parallel processing software play nice with Docker containers, along with all of the other types of physical and virtual ...

BURLINGAME, Calif.--(BUSINESS WIRE)--Quadric (quadric.io), an innovator in high-performance edge processing, has introduced a unified silicon and software platform that unlocks the power of on-device ...

In the early 1980s, when I was teaching and doing research at Yale’s computer science department and School of Management, my colleagues and I dreamed about the great promises of artificial ...

Artistic rendering of a photonic chip with both light and RF frequency encoding data. Image credit: B.Dong / University of Oxford. A breakthrough development in photonic-electronic hardware could ...

One particular frustration with the UNIX shell is the inability to easily schedule multiple, concurrent tasks that fully utilize CPU cores presented on modern systems. The example of focus in this ...

Machine learning performed by neural networks is a popular approach to developing artificial intelligence, as researchers aim to replicate brain functionalities for a variety of applications. A paper ...

Signal processing algorithms, architectures, and systems are at the heart of modern technologies that generate, transform, and interpret information across applications as diverse as communications, ...