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 ...
Diator is a Python library for implementing CQRS pattern in your Python applications. It provides a set of abstractions and utilities to help you separate your read and write concerns, allowing for ...
As India’s consumer base continues to grow, and the country is increasingly seen as a manufacturing alternative to China, major tech companies are diversifying their supply chains, setting up plants ...
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