Quantifying inductive bias with Bayesian priors The prior over functions, P(f), is the probability that a…
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Analog Neural Networks: Nature Communications Publishes ECE Researchers’ Blueprint for Precision
by A.J. Kleber Computer architectures with historical origins as far back as Ancient Greece have a…
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Network properties determine neural network performance
Dimension reduction of networked systems Real-world complex systems, such as plant-pollinator interactions63 and the spread of…
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A blueprint for precise and fault-tolerant analog neural networks
Handling negative numbers with RNS An RNS with a dynamic range of M allows representing values…
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