Researchers assessed future urban heat exposure and adaptive capacity in 1,563 major cities worldwide, using high-resolution ...

A research team presents XFruitSeg, a deep learning model designed to accurately segment three-dimensional computed tomography (CT) images of plant fruits.

AtScale, a leader in semantic layer technology, today announced it has been named both a Leader and Fast Mover in the 2025 GigaOm Radar Report for Semantic Layers and Metric Stores. This marks the ...

A research team has developed a novel deep learning approach that significantly improves the accuracy of assessing plant leaf ...