The rStar2-Agent framework boosts a 14B model to outperform a 671B giant, offering a path to state-of-the-art AI without ...

Research on statistical arbitrage in U.S. equities (1997–2007) shows that PCA-based strategies achieved average annual Sharpe ...

A Python script with an AI algorithm that solves a 2D maze using the A* search algorithm - but, with specific movement constraints, to really force the AI earn its way out of the maze. This time, ...

StreamMyHeart is designed to help live streamers monitor their heart rate without the need for wearable devices. Currently, it supports heart rate measurement for a single person visible in the webcam ...

Learn how to build the RREF algorithm step-by-step in Python—great for math and code enthusiasts! Border Patrol finds massive drug-smuggling tunnel that linked Mexico to US How to hard boil eggs ...

Learn how the Adadelta optimization algorithm really works by coding it from the ground up in Python. Perfect for ML enthusiasts who want to go beyond the black box! Florida State Bracing for Hefty ...

Abstract: This work aims to compare two different Feature Extraction Algorithms (FEAs) viz. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), using a K-Nearest Neighbor (KNN) ...

ABSTRACT: The integration of artificial intelligence into the development and production of mechatronic products offers a substantial opportunity to enhance efficiency, adaptability, and system ...

On the basis of the principal components analysis-particle swarm optimization-least squares support vector machine (PCA-PSO-LSSVM) algorithm, a fault diagnosis system is proposed for the compressor ...

Abstract: Sparse matrix computations are an important class of algorithms. One of the important topics in this field is SPCA (Sparse Principal Component Analysis), a variant of PCA. SPCA is used to ...