Quantum algorithm beats classical tools on complement sampling tasks

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...

Lab-grown brain tissue successfully solves a classic AI training problem

In a small lab at the University of California, Santa Cruz, clusters of mouse brain cells have taken on a task normally reserved for computer algorithms: ...
IEEE

Identification of Partial Shading Patterns in Photovoltaic Arrays Using RF Algorithm with Integrated Data

Abstract: This research presents a machine learning-based methodology for detecting and analyzing partial shading scenarios in photovoltaic (PV) systems. Utilizing an experimental setup of a 3x2 PV ...
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 ...
IEEE

Vegetable Sales Forecasting Based on XGBOOST Algorithm and Random Forest

Abstract: This paper explores the forecasting of vegetable sales and the optimization of procurement strategies using the XGBOOST algorithm and random forest methodology. The study begins by utilizing ...