What is ‘Edge AI’? What does it do and what can be gained from this alternative to cloud computing?

Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...
Tech Xplore

Pinpointing direction in noisy 2D data: New algorithm could improve imaging, AI, particle research and more

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IFLScience on MSN

NASA's lunar orbiter may have spotted long-lost Luna 9 spacecraft, 60 years after it vanished

Astronomers believe they may have found the final resting place of Luna 9, the Soviet spacecraft missing since it landed on the Moon on February 3, 1966. On January 31, 1966, the Soviet Union launched ...
Scientific Research Publishing

Larose, D.T. and Larose, C.D. (2014) k-Nearest Neighbor Algorithm.

ABSTRACT: This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples ...
Scientific Research Publishing

Al-Sultani, Z.N. (2012) Learning Vector Quantization (LVQ) and k-Nearest Neighbor for Intrusion Classification. World of Computer Science and Information Technology Journal, 2 ...

ABSTRACT: In the past decade, Internet Of Things (IOT) technology has become one of the fastest-growing and most widely used technologies and is rapidly becoming a basic feature of global civilization ...
IEEE

Application of K-Nearest Neighbor Machine Learning Algorithm in High Voltage Circuit Breaker Monitoring System by Analyzing Spring Mechanism Motor Current

Abstract: Machine learning has been applied across various scientific fields and switching apparatus monitoring is no exception. Monitoring system is a crucial component of switching apparatus ...
IEEE

K-Nearest Neighbor Algorithm Based on the Framework of Ordered Pair of Normalized Real Numbers

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 ...
Microsoft

A periodic table for machine learning

Researchers from MIT, Microsoft, and Google have introduced a “periodic table of machine learning” that stands to unify many different machine learning techniques using a single framework. Their ...