Ransomware groups are using "post-quantum" hype to intimidate victims

Kyber, first observed in circulation as early as September, takes its name from the alternate designation of ML-KEM ...
The Lancet

Detection of young-onset type 2 diabetes using deep learning across primary and secondary care: a nationwide, retrospective cohort study

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
AOL

What Does BTS Mean? All About the Beloved K-Pop Group's Unique Moniker

BTS attend 2021 AMERICAN MUSIC AWARDS - The AMAs will air live from the Microsoft Theater in Los Angeles on Sunday, Nov. 21 Credit: ABC via Getty Since releasing their first album in 2013, BTS has ...
GitHub

What is Unsupervised Learning?

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...
Mashable

TikTok deal adds new U.S. owners. Here's what this means for users.

TikTok will officially remain in the U.S. for the foreseeable future. A new, majority U.S.-owned company had been established to continue running the popular video-sharing app in the country, and has ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
techannouncer

Downloadable LeetCode Python PDF: Essential Solutions and Practice

So, you’re looking to get better at coding with Python, and maybe you’ve heard about LeetCode. It’s a pretty popular place to practice coding problems, especially if you’re aiming for tech jobs.
IEEE

Research on Improved k-Means Clustering Algorithm Based on Density-Weighted Canopy

Abstract: This paper proposes an improved K-means clustering algorithm based on density-weighted Canopy to address the efficiency bottlenecks and clustering accuracy issues commonly encountered by ...
Bitcoin Magazine

secp256k1lab: An INSECURE Python Library That Makes Bitcoin Safer

secp256k1lab hopes to streamline the development process of cryptographic protocols for BIP proposals with a standard library for secp256k1. Until now, every Bitcoin Improvement Proposal (BIP) that ...
Scientific Research Publishing

Applying K-Means Clustering and Fuzzy C-Means Clustering in Vehicle Crashes ()

Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering algorithms to a ...
IEEE

A Topological-Indicators-Based k-Means Clustering Algorithm and Its Application in Time Series Data: A Case Study on Sea Level Variability in Peninsular Malaysia

Abstract: Traditional k-means clustering is widely used to analyze regional and temporal variations in time series data, such as sea levels. However, its accuracy can be affected by limitations, ...