When data is productized and semantics encoded, you unlock agentic AI at scale. Instead of assistants, you get executors: ...

Abstract: In biomedical vision research, a significant challenge is the limited availability of pixel-wise labeled data. Data augmentation has been identified as a solution to this issue through ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Contingency management theory says there’s no one-size-fits-all approach — leaders must adapt strategies based on people, ...

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...

Version of Record: This is the final version of the article. This work proposes a new approach to analyse cell-count data from multiple brain regions. Collecting such data can be expensive and ...

The hierarchical flow for clock domain crossing (CDC) and reset domain crossing (RDC) is a methodology used in the verification of large, complex digital integrated circuits. It’s a divide-and-conquer ...

Abstract: For industrial processes, it is significant to carry out the dynamic modeling of data series for quality prediction. However, there are often different sampling rates between the input and ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...