AlphaFold Changed Science. After 5 Years, It’s Still Evolving

WIRED spoke with DeepMind’s Pushmeet Kohli about the recent past—and promising future—of the Nobel Prize-winning research ...
IEEE

Heterogeneity-Aware Clustering and Intra-Cluster Uniform Data Sampling for Federated Learning

Abstract: Federated learning (FL) is an innovative privacy-preserving machine learning paradigm that enables clients to train a global model without sharing their local data. However, the coexistence ...

Understanding the K-Percent Rule: Milton Friedman's Monetary Policy

Discover Milton Friedman's K-Percent Rule, which advocates for a steady, annual money supply increase aligned with GDP growth, ensuring economic stability.
GitHub

Altinity Helm Charts for ClickHouse®

Helm charts for getting started with ClickHouse® and ClickHouse Keeper. These samples demonstrate straightforward Helm charts that can be used to deploy ClickHouse and ClickHouse Keeper. The examples ...
https//beincrypto.com

Ethereum Fusaka Goes Live Today: Can It Trigger a Pectra-Like Rally?

Ethereum's Fusaka upgrade activated December 3, 2025, introducing PeerDAS technology that enables nodes to store one-eighth of blob data while achieving up to 8x scalability for Layer 2 rollups. The ...
GitHub

cross-cluster-replication

A distributed MongoDB migration and synchronization tool for transferring collections, databases, and namespaces between MongoDB clusters with zero downtime. Perfect for MongoDB database migration, ...
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, ...