Abstract: This paper describes an in-memory computing architecture that combines full-precision computation for the first and last layers of a neural network while employing binary weights and input ...

At the upcoming Visual Studio Live! Las Vegas developer conference, SQL expert Denny Cherry will share essential indexing ...

Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in convolutional neural networks. This tutorial explains the intuition, mathematical ...

Abstract: A component-based normalization method was developed for a preclinical PET protype system (SPET) which employs multi-resolution DOI detectors. The detector consists of dual-layer pixelated ...

It has been almost six years since the World Health Organization declared COVID-19 a pandemic in 2020, and while it is no longer considered a public health emergency, it can still make more vulnerable ...