As renewable power rapidly reshapes global electricity systems, engineers face a growing challenge: how to operate increasingly complex grids with ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

Artificial intelligence is starting to do something human clinicians have struggled with for decades: quietly flag patients with Alzheimer’s disease who have slipped through the cracks, and do it in a ...

US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...

With such increased predictive knowledge of solar systems, these anomaly detectors can significantly reduce costs of O&M, a major component of project economics in solar development. There is great ...

Abstract: To address the challenges of road segmentation in remote sensing images—such as elongated structures, blurred boundaries, and the high cost of manual annotations—we propose a semi-supervised ...

Is eliminating human safety drivers the turning point that could reshape the trajectory of Tesla’s valuation? Last weekend, ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...