Learn how to implement the Adam optimization algorithm from scratch in Python! This step-by-step guide breaks down the math, coding process, and practical examples to help you understand one of the ...

Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...

One way AI can improve on human work Computer scientists at UC Berkeley say that AI models show promise as a way to discover and optimize algorithms.… In a preprint paper titled "Barbarians at the ...

Abstract: Single-Source Shortest Path (SSSP) algorithms are essential in various applications, from optimizing transportation networks to analyzing social networks. This paper focuses on implementing ...

Abstract: This paper presents a FPGA implementation of SM4 Encryption and Decryption which has been used in the short message service (SMS) to solve the security risks of information leakage and ...

Fixed-Dimensional Encoding (FDE) solves a fundamental problem in modern search systems: how to efficiently search through billions of documents when each document is represented by hundreds of vectors ...

I propose adding an implementation for the K-Medoids clustering algorithm to this repository. K-Medoids is a classic clustering technique, similar to K-Means, but uses actual data points (medoids) as ...

In this tutorial, we explore how to secure AI agents in practical, hands-on ways using Python. We focus on building an intelligent yet responsible agent that adheres to safety rules when interacting ...