Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...
A 163-page PDF of the iPhone 16e electrical schematics was briefly made public by the FCC, despite Apple’s express request to keep them confidential. Here’s what they showed. The filing included a ...
The Federal Communications Commission (FCC) recently published a 163-page PDF showing the electrical schematics for the iPhone 16e, despite Apple specifically requesting them to be confidential. This ...
This journal, begun in 1943 as Mathematical Tables and Other Aids to Computation, publishes original articles on all aspects of numerical mathematics, book reviews, mathematical tables, and technical ...
This novel attack chains the intended behavior of both MiniDumpWriteDump and WerFaultSecure, so this is more of a design weakness than a vulnerability in Windows. Defending against EDR-Freeze is ...
McGill University researchers have developed an artificial intelligence tool that can detect previously invisible disease markers inside single cells.
Abstract: Backpropagation is a machine learning algorithm used to train neural networks. This paper introduces a back-propagation based technique for the calibration of the mismatch errors of ...
Abstract: This study presents an adaptive battery charging controller that integrates an Elman Backpropagation Neural Network (EBNN) with a Proportional-Integral (PI) algorithm to manage varying ...