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: Quantum Computing (QC) technology and Deep Learning (DL) science have garnered significant attention for their potential to revolutionize computation. This paper introduces the basic ...

NAMM 2026: Neural DSP has taken its smash-hit Quad Cortex amp modeller and shrunk it by more than 50 per cent, and despite all this the unit is for all intents and purposes unchanged. None of the ...

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

Love or hate it, upscaling technology like Nvidia’s DLSS have expanded the definition around gaming performance. And while hardware enthusiasts still want to know what to expect for raster performance ...