Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

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

Researchers Yue Zhao and Kang Pu from Stony Brook University—in collaboration with Ecosuite's John Gorman and Philip Court, ...

CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

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 ...

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

In recent years, several serious traffic accidents have exposed the shortcomings of current autonomous driving systems in making safe decisions ...

What if artificial intelligence could turn centuries of scientific literature—and just a few lab experiments—into a smarter, ...

The future of hiring may utilize AI, but it is also accountable, auditable and, increasingly by law, must include ...