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 ...

Abstract: Emerging cryptographic systems such as Fully Homomorphic Encryption (FHE) and Zero-Knowledge Proofs (ZKP) are computation- and data-intensive. FHE and ZKP implementations in software and ...

A defect in a semiconductor chip may be smaller than a human hair but can create big problems in your everyday life, from crippling your car's steering to making your laptop more susceptible to ...

Abstract: Homomorphic encryption (HE) is a kind of algorithm which provides data processing but not data access. Since it was proposed in 1978, as one of the important tools in cryptography, it is ...

In 2025, success in the markets depends on how intelligently you use technology. From retail traders to institutional investors, everyone is turning to bot trading — a system where trades are executed ...