Abstract: Optimizing the K value in the K-Nearest Neighbor (KNN) algorithm is a critical step in enhancing model performance, particularly for tasks related to classification and prediction. The Elbow ...

AI maps fleeting DNA quadruplexes, revealing paired structures that control genes in healthy cells and cancer.

The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Abstract: This paper investigates the optimization of the FedDyn algorithm in Federated Learning (FL). Federated Learning is a distributed machine learning framework that enables model training on ...