ML.NET is a cross-platform open-source machine learning (ML) framework for .NET. ML.NET allows developers to easily build, train, deploy, and consume custom models in their .NET applications without ...

A reproducible, containerized machine-learning pipeline that classifies Iris flower species from morphological measurements. This version includes full data validation, modular code structure, and ...

Classification of data points can be performed through a photonic quantum computer, boosting the accuracy of conventional methods.Iris Agresti In a major leap toward the future of computing, ...

A team of researchers has shown that even small-scale quantum computers can enhance machine learning performance, using a novel photonic quantum circuit. Their findings suggest that today s quantum ...

Microplastics have been found to be highly pervasive in the environment, driving concerns for health, environment, and ecology. Analytical methods that can accurately identify microplastics are ...

In veterinary medicine, attempts to apply artificial intelligence (AI) to ultrasonography have rarely been reported, and few studies have investigated the value of AI in ultrasonographic diagnosis.

The creative new approach could lead to more energy-efficient machine-learning hardware. On a table in his lab at the University of Pennsylvania, physicist Sam Dillavou has connected an array of ...

Abstract: Classification is one of the most important approach of machine learning. Main task of machine learning is data analysis. Various algorithms are available for classification like decision ...