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Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Abstract: This tutorial brief shows how Artificial Neural Networks (ANNs) can be used for the optimization and automated design of analog and mixed-signal circuits. A survey of conventional and ...

We connected with Florian Winkler to learn how he created such an elegant and informative map that invites exploration.

PrimeSpecPCR is a tool for designing species-specific oligonucleotides for quantitative PCR (qPCR) applications in microbiology, environmental science, food safety, and clinical diagnostics. It ...