The article illustrates techniques for generating parallel logic outputs with industrial serialized digital inputs.

Caltech scientists have found a fast and efficient way to add up large numbers of Feynman diagrams, the simple drawings ...

Concurrent with the rapidly evolving digital landscape, enterprise data management is poised for transformative change in the coming years. At the same time, organizations driven by exponential data ...

The proposed physical models and correction methods significantly improve consistency in high-density, parallel data processing.

Big Data engineering, when approached strategically, becomes a core enabler of robust data privacy and security.

In notice this week, DIU said it is looking for AI and machine learning tools that can speed up data processing at the Navy’s Marine Operations Centers.

Hammerspace's David Flynn talks with theCUBE about developing a parallel NFS architecture that could revolutionize data storage.

Parallel computing is the fundamental concept that, along with advanced semiconductors, has ushered in the generative-AI boom.

System-on-chip (SoC) radars, which are commonly used now-a-days, are inherently vulnerable to data manipulation and attacks to gain intellectual property (IP) of the system. This article outlines the ...

What Is a DPU, or Data Processing Unit, and How Does It Work? The best way to think about a DPU, says Jim McGregor, principal analyst at TIRIAS Research, is as “an internal or overhead workload ...

Parallel processing, an integral element of modern computing, allows for more efficiency in a wide range of applications.

In this article, we’ll explore how Apache Hadoop transforms data processing, offering a scalable, fault-tolerant, and cost-effective solution for modern data challenges. What is Apache Hadoop?