Yadullah Abidi is a Computer Science graduate from the University of Delhi and holds a postgraduate degree in Journalism from the Asian College of Journalism, Chennai. With over a decade of experience ...

The safety of the global food supply depends heavily on effective crop management, making early diagnosis of plant diseases vital for improving agricultural productivity. This proposal outlines the ...

This package is in its early phase of development. SOM performance metrics have all been tested pretty well, but they may still contain bugs. Please report them in an issue if you find some. If you ...

This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...

In the evolving data landscape of 2025, data analysts must be equipped with tools that allow them to extract, transform, analyze, and communicate insights effectively. Four essential tools that form ...

GPU-accelerated Self-Organizing Maps in PyTorch with a scikit-learn API, rich visualization, and clustering --- from dimensionality reduction to Just-In-Time Learning.

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

The current richness of sequence data needs efficient methodologies to display and analyze the complexity of the information in a compact and readable manner. Traditionally, phylogenetic trees and ...

The de facto standard for real-time stream processing is sometimes described as being complex and difficult to learn. Start by understanding these core principles. In recent years, Apache Flink has ...

A self-organizing map (SOM) is a type of artificial neural network that is used for unsupervised learning and data visualization. It was introduced by the Finnish professor Teuvo Kohonen in the 1980s.