Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Statistical complexity provides a quantitative framework for assessing the interplay between randomness and structure in time-ordered data. By combining measures of information content (entropy) with ...

Managing real-time data is crucial for technologies that help computers learn and make decisions, a field known as machine learning. In simple terms, machine learning teaches computers to find ...

Seventy years after the invention of a data structure called a hash table, theoreticians have found the most efficient possible configuration for it. About 70 years ago, an engineer at IBM named Hans ...

The decisive difference today no longer lies in additional sensor technology or automation, but in the quality of integration. Production systems only realise their full potential when data is ...