The core of the Python data model architecture is special methods (also known as "magic methods"). These methods, which start ...

Data architects and leaders are often tasked with collecting a wide range of new data. Sometimes that can lead to the inadvertent growth of new data stores In a world of ever-increasing devices and ...

Collecting and combining diverse data types from different manufacturing processes can play a significant role in improving semiconductor yield, quality, and reliability, but making that happen ...

AI is all about data, and the representation of the data matters strongly. But after focusing primarily on 8-bit integers and 32‑bit floating-point numbers, the industry is now looking at new formats.