Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the extreme precision required and the hundreds of steps involved, such as ...

A bibliometric analysis was performed using Microsoft Excel, Python, CiteSpace, VOSviewer, R (bibliometrix), and the Online Analysis Platform of Literature Metrology to assess publication outputs, ...

Google Colab is a really handy tool for anyone working with machine learning and data stuff. It’s free, it runs in the cloud, and it lets you use Python without a lot of fuss. Whether you’re just ...

It is challenging to train both classical and modern machine-learning force fields using the variety of experimental data available. Reversible simulation, a method to train force fields to match many ...

Artificial intelligence (AI) refers to machine-based systems that analyze input data to generate predictions, recommendations, or decisions, 1 AI-based and machine learning (ML)-based technologies ...

AI/ML using Python: A basics course on Machine Learning and Artificial Intelligence. It introduces Python, algebra, statistics, and data manipulation.

Teachable Machine (Image credit: Google) What are the best Teachable Machine features? Teachable Machine is very simple to use and clearly shows how the AI has learned the differences between the ...

Microplastics persist as ubiquitous environmental contaminants, and efficient methods to quantify and identify their presence are essential for assessing their environmental and health impacts. Common ...

This paper presents a unique framework that integrates sentiment analysis with machine learning algorithms to enhance the detection of cyberbullying on social media.