If you’ve spent any time reading about artificial intelligence, you’ll almost certainly have heard about artificial neural networks. But what exactly is one? Rather than enrolling in a comprehensive ...
Graph neural networks (GNNs) have gained traction and have been applied to various graph-based data analysis tasks due to their high performance. However, a major concern is their robustness, ...
A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural ...
Energy-efficient neural network computing represents a transformative approach to mitigating the increasing energy demands of modern artificial intelligence systems. By harnessing cutting-edge ...
Research on ONNs began as early as the 1960s. To clearly illustrate the development history of ONNs, this review presents the evolution of related research work chronologically at the beginning of the ...
BEIJING, Sept. 19, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced the ...
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Soft robots can be far more flexible than their rigid relatives, but their vast ranges of motion makes it hard to map the location of their body parts. A new algorithm could give them greater control ...
The original version of this story appeared in Quanta Magazine. Moore’s law is already pretty fast. It holds that computer chips pack in twice as many transistors every two years or so, producing ...
In the late 1980s, Canadian master’s student Yoshua Bengio became captivated by an unfashionable idea. A handful of artificial intelligence researchers were trying to craft software that loosely ...
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How Neural Networks Are Changing On-the-Go Computing

The curious minds at ColdFusion explain how neural networks are transforming on-the-go computing. This matters because AI-driven devices can now process information faster, smarter, and more ...