Economists and politicians often assume continuous growth, ignoring the possibility of decline, which can lead to unrealistic ...
Abstract: Despite achieving exceptional performance, deep neural networks (DNNs) suffer from the harassment caused by adversarial examples, which are produced by corrupting clean examples with tiny ...
The degree to which someone trusts the information depicted in a chart can depend on their assumptions about who made the ...
Fair attendees in front of an AI sign at the World Artificial Intelligence Conference in Shanghai on July 27, 2025. (Ying Tang/NurPhoto via Getty Images) How we did this This Pew Research Center ...
Abstract: Deep neural networks (DNNs), which learn a hierarchical representation of features, have shown remarkable performance in big data analytics of remote sensing. However, previous research ...
A new study co-led by the University of Oxford and Google Cloud has shown how general-purpose AI can accurately classify real changes in the night sky—such as an exploding star, a black hole tearing ...
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