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?

Recently, on August 27, 2025, financial news reported that Guangzhou ViewSonic Electronics Technology Co., Ltd. and its Artificial Intelligence Innovation Research Institute jointly applied for a ...

It is well known that the information needed to identify the ideal patients for clinical trials exists within electronic health record (EHR) data, but accessing it remains challenging without ...

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.

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 ...

This protocol describes XCMS Online, a web-based systems biology platform for processing of metabolomics data, pathway mapping and integration with genomics and proteomics data.

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 ...