IoT has progressed tremendously in recent years, but there’s more work to be done before IoT can fully deliver on its expectations.

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?

THE need for better means of recording and retrieving data for medical records has become increasingly apparent.1 2 3 The tremendous accumulation of data reflects the use of more sophisticated labo ...

Researchers at the Georgia Tech Research Institute recently combined machine learning, field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and a novel radio frequency image ...

Advantages of Distributed Data Processing. Distributed data processing is a computer-networking method in which multiple computers across different locations share computer-processing capability.

Collecting and Processing data involves clearly defining “ Who or what ” you will study or evaluate and “ When ” you will do so. You should consider the demographic characteristics of your study ...

(Yicai) Aug. 19 -- Lingang Special Area, a key testing ground for economic and trade policies within the Shanghai Free Trade ...

Big data startup DataPelago exists stealth with its new Universal Data Processing Engine, raises $47 million in funding.

Prospective epidemiologic surveillance of invasive mold disease (IMD) in hematology patients is hampered by the absence of a reliable laboratory prompt. This study develops an expert system for ...