Accurate person identity data is one of the most difficult challenges in healthcare today. The stakes are high; merge the wrong records, and you create a privacy risk; fail to link the right ones, and ...

Map matching algorithms are fundamental to aligning raw positioning data, typically obtained through GPS, with digital road network databases. These techniques address inherent uncertainties in GPS ...

These days, much of our lives seem dictated by algorithms. Our streaming services decide which movies and TV shows would be a good fit for us based on our previous viewing history and apparent tastes.

Geospatial data integration and matching techniques are pivotal in reconciling spatial information from diverse sources, enabling comprehensive representation and analysis of the physical world. These ...

AI and ML algorithms rely heavily on vast data for training and development. However, the availability of high-quality, diverse, and secure data can be a significant challenge. In fact, upon not being ...

The core of the new media platform's algorithm lies in accurately matching user interests with content value. Based on real ...

It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...

Public skin image datasets that are used to train algorithms to detect skin problems don’t include enough information about skin tone, according to a new analysis. And within the datasets where skin ...