Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Approximate Computing (AxC) is being actively explored to meet the energy and performance requirements of resource-constrained embedded systems. Approximate arithmetic operators (AxOs), for instance, ...
Production-ready Model Context Protocol (MCP) server that exposes the full capabilities of Microsoft Dynamics 365 Finance & Operations (D365 F&O) to AI assistants and other MCP-compatible tools. This ...
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