Lalit Ahuja is the Chief Technology Officer at GridGain Systems & a frequent speaker on AI-ready data and enterprise architecture patterns. Extracting intelligence requires both access to information ...

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 ...

Data processing units (DPUs) have emerged as an important deployment option for datacentres that run heavy data-centric workloads such as artificial intelligence (AI) and analytics processing, and to ...

Apache Arrow defines an in-memory columnar data format that accelerates processing on modern CPU and GPU hardware, and enables lightning-fast data access between systems. Working with big data can be ...

(1) The first industry title. From the early 1900s to the 1960s, data processing was tabulating machines and punch card processing. Thereafter, it referred to computer processing. By the 1980s, the ...

Cytometry-based single-cell proteomics (SCP) has emerged as a powerful technique that greatly advances our understanding of complex biological systems with a new level of granularity. Various methods ...

Electronic Data Processing (EDP) refers to the input, processing and output of information. EDP is often called Information Services or Systems (IS) or Management Information Services (MIS), according ...

A typical output of a metabolomic experiment is a peak table corresponding to the intensity of measured signals. Peak table processing, an essential procedure in metabolomics, is characterized by its ...