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 ...
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 ...
Morning Overview on MSN
New AI finds missed Alzheimer’s cases and narrows racial gaps
Artificial intelligence is starting to do something human clinicians have struggled with for decades: quietly flag patients ...
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 ...
This week I interviewed Senator Amy Klobuchar, Democrat of Minnesota, about her Preventing Algorithmic Collusion Act. If you don’t know what algorithmic collusion is, it’s time to get educated, ...
Abstract: Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data can be ...
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