Abstract: The success of machine learning algorithms generally depends on data representation, and we hypothesize that this is because different representations can entangle and hide more or less the ...

In Part 3, we shift from theory to practice — exploring how to build the infrastructure needed to support agentic AI at scale. We’ll look at orchestration, governance, and modular architecture as key ...

Abstract: Change detection (CD) is a critical task to observe and analyze dynamic processes of land cover. Although numerous deep-learning (DL)-based CD models have performed excellently, their ...