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A team at Los Alamos National Laboratory has developed a novel approach for comparing neural networks that looks within the “black box” of artificial intelligence to help researchers understand neural network behavior. Neural networks recognize patterns in datasets; they are used everywhere in society, in applications such as virtual assistants, facial recognition systems and self-driving cars.


Source: Los Alamos National Laboratory

The post New Method for Comparing Neural Networks Exposes How AI Works appeared first on HPCwire.

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