Success no longer hinges on hindsight dashboards or quarterly reviews; it depends on how intelligently and swiftly an enterprise can respond to the present.

What if the same RFID "smart barcode" tags used to track packages and retail inventory could also detect changes in the real ...

In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled ...

AI tools that provide information to you also gather lots of information from you and may provide it to third parties.

The MIT-BIH Arrhythmia Database ... data separation, and (2) meaningful indicators of heart rate variability are selected; the data are transformed and applied as model characteristics. The ...

For example, the National Motor Vehicle Title Information System (NMVTIS) is a U.S. government database that ... so far by applying big data analytics powered by over 25 billion (and growing) data ...

This paper proposes a filter transfer learning algorithm (FTLA) for missing data imputation with high proportions. First, a knowledge acquisition strategy is developed to extract the source knowledge, ...

Databricks said acquiring Neon’s tech would let it combine the startup’s serverless relational database management system with its own data intelligence services to let its customers deploy AI ...

"We look forward to helping ARL manage vast amounts of data as the complexity of battlefield sensor systems increases and infusing AI/ML algorithms to ensure data integrity and openness." QinetiQ US ...