Data de-identification, a subset of dynamic data masking, disassociates data from the original person to whom it was tied. Data de-identification makes it possible...
Dynamic load balancing, adaptive caching, and the creation of comprehensive big data frameworks and libraries are all best done in C++. The vast majority...
Artificial intelligence has made waves throughout the past decade, where advancements are showing up in everyday applications. But getting there requires a ton of...
The phrase "data engineering tools" refers to a broad category of technologies that comprise the contemporary data stack. Modern data stacks require specialized technologies...
Velox, a unified execution engine, was recently developed and made publicly available by Meta in association with Intel, ByteDance, and Ahana. This function library...
Big data describes the large, challenging volumes of structured and unstructured data that inundate businesses daily. However, what organizations do with the data matters...
A multidisciplinary research team has created a device that consumes a fraction of the energy needed by current general-purpose AI computing platforms to run...
Information representation technologies and innovations are required to dissect various data metrics and make the best information-driven decisions in the world of big data....
Data has become essential for businesses to comprehend and analyze underlying patterns, sales, and growth. One problem is that data-driven companies may employ inaccurate...
This Article is written as a summary by Marktechpost Staff based on the research article 'Intel Labs Accelerates Single-cell RNA-Seq Analysis'. All Credit For...
Biologists today create 10,000 times more data for each experiment than a decade ago, which is far more challenging to comprehend. Transforming this enormous...
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