IEEE

Neural Operator Variational Inference Based on Regularized Stein Discrepancy for Deep Gaussian Processes

Abstract: Deep Gaussian process (DGP) models offer a powerful nonparametric approach for Bayesian inference, but exact inference is typically intractable, motivating the use of various approximations.
The New Zealand Herald

The Nobel’s timely innovation reminder: Prosperity cannot be planned - Roger Partridge

Roger Partridge is chair and a senior fellow at The New Zealand Initiative (www.nzinitiative.org.nz). Joel Mokyr, Philippe Aghion and Peter Howitt were awarded the 2025 Nobel Prize in Economics for ...
archive

the relation of inference to fact mill's logic

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Digi Times

Samsung's HBM4 logic die yield reportedly surpasses 90% ahead of Nvidia final tests

Samsung Electronics is preparing to enter the final quality testing phase for Nvidia's sixth-generation high-bandwidth memory (HBM4), as its foundry division ramps up wafer production of the logic ...
IEEE

Non-finite methods of Reconstructions of Non-Classical Propositional Logic Variants based on the Theory of Structures in Control Problems of Complex Systems

Abstract: The report explores the problem of developing a common base of mathematical support for the problem of modeling control systems for objects of great complexity. The problem of reconstructing ...