While the CTM shows strong promise, it is still primarily a research architecture and is not yet production-ready out of the box.

Deep learning has been widely applied to high ... thereby enriching the underlying feature representation for hyperspectral image classification. The proposed GLNet adopts an encoder-decoder ...

Discover the future of intelligent architecture, where buildings actively enhance urban life through data and responsive ...

The advancement of artificial intelligence (AI) and the study of neurobiological processes are deeply interlinked, as a ...

By implementing a well-designed, connected and intelligent finance architecture ... It supports AI and machine learning applications for cash flow forecasting and anomaly detection.

Researchers at the University of Toronto have developed a method that uses artificial intelligence (AI) and Google Maps' ...

Abstract: Satellite image classification ... satellite images using deep learning techniques on the EuroSAT dataset, comprising ten different classes of land use and land cover classes based on ...