The repo is about simple implementation of various algorithms and techniques used in cryptography, namely Simplified DES, Simplified AES, RSA, Caesar Cipher, Monoalphabetic Cipher. A client-server ...

This video is an overall package to understand L2 Regularization Neural Network and then implement it in Python from scratch. L2 Regularization neural network it a technique to overcome overfitting.

ABSTRACT: Backgrounds: The impact of digital image steganography (stego) and crypto-steganography (crypto-stego) on network performance has not been adequately examined. The major objective of this ...

Meta has refused to sign the European Union’s code of practice for its AI Act, weeks before the bloc’s rules for providers of general-purpose AI models take effect. “Europe is heading down the wrong ...

AES Corp. The AES Corp. engages in the provision of power generation and utility services through its renewable and thermal generation facilities and distribution businesses. It operates through the ...

Think about the last time you opened Netflix. Did you scroll through countless options or go with a recommended title? When you log into social media, do you decide what to see, or does an algorithm ...

An efficient quantum implementation of the advanced encryption standard (AES) is crucial for reducing the complexity of implementing an exhaustive key search through Grover’s algorithm. In this paper, ...

In this tutorial, we demonstrate how to build an AI-powered PDF interaction system in Google Colab using Gemini Flash 1.5, PyMuPDF, and the Google Generative AI API. By leveraging these tools, we can ...