IEEE

Classifying Three-input Boolean Functions by Neural Networks

Abstract: Neural networks decide or predict something by learning examples. Recently, improving equips and enlarging data enable the deep learning to perform complex decision. However, some objects ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
GitHub

A micro conditional javascript engine used to parse the raw logical and comparison expressions, evaluate the expression in the given data context, and provide access to a text ...

This project has been developed to provide a shared conditional logic between front-end and back-end code, stored in JSON or in any other data serialization format ...
IEEE

Functionally-Complete Boolean Logic in Real DRAM Chips: Experimental Characterization and Analysis

Abstract: Processing-using-DRAM (PuD) is an emerging paradigm that leverages the analog operational properties of DRAM circuitry to enable massively parallel in-DRAM computation. PuD has the potential ...