Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

Researchers from Caltech and Oratomic, a Caltech-linked startup, published findings on March 31, 2026, arguing that a useful quantum computer capable of running Shor’s algorithm on real cryptographic ...

Weaver contests receivership and says company worth at least $600M. Receiver, Farm Credit report insolvency; receiver notes missing tax returns. Court will hear Feb. 9 on receivership, foreclosure ...

ABSTRACT: The objective of this work is to determine the true owner of a land—public or private—in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ...

Embedding-based search outperforms traditional keyword-based methods across various domains by capturing semantic similarity using dense vector representations and approximate nearest neighbor (ANN) ...

Abstract: The K-Nearest Neighbors (kNN) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...

The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on diagnostic ...

Each implementation is optimized for its respective computing paradigm while maintaining classification accuracy.

This project demonstrates how to implement the K-Nearest Neighbors (KNN) algorithm for classification on a customer dataset. The program iterates through different values of k (number of neighbors) ...