Abstract: Cross-view geo-localization (CVGL) task aims to match images of the same object captured from various platforms, such as drones and satellites. The primary challenge of CVGL is that the ...

The development of predictive quantitative structure-activity relationship (QSAR) models using machine learning (ML) algorithms has become increasingly feasible due to the growing availability of ...

Here's why the C-suite needs to understand entity engineering as a corporate asset, not a digital marketing tactic.

One major challenge in deploying autonomous agents is building systems that can adapt to changes in their environments without the need to retrain the underlying large language models (LLMs).

Researchers at the Institute of Industrial Science, The University of Tokyo and George Mason University's College of Science have developed a new method that improves air temperature forecasts one to ...

Abstract: Named Entity Recognition (NER) technology serves as the foundation for solving many Natural Language Processing(NLP) problems, particularly in the domain of building knowledge graphs, where ...