Abstract: Machine learning, deep learning, convolutional neural networks are becoming common terms in the field of data processing. The principle is to create models based on base set testing, which ...

This is a visualization created on the screen of an oscilloscope by a musical piece: Primer is an introduction to oscilloscope music, a genre and art form where vector visuals are formed by the music ...

Abstract: This paper presents a dynamic selector model for data workload prediction. A main function responsible for selecting the most accurate Machine Learning Algorithm (e.g., Linear Regression, ...

The AI and Machine Learning major is one of two specialized majors in Purdue University’s 100% online Master of Science in Artificial Intelligence program. This major equips you with advanced ...

Oscilloscopes (i.e., scopes) are one of the primary tools in a test and measurement toolbox. This TechXchange collects articles and videos about using and selecting scopes. Part of the challenge of ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...

RF signals historically are measured using spectrum analyzers, at least that was before oscilloscopes offered sufficient bandwidth for those measurements. With oscilloscope bandwidths over 100 GHz, RF ...

It does a better job of using data and forecasts to make decisions. by Narendra Agrawal, Morris A. Cohen, Rohan Deshpande and Vinayak Deshpande The Covid-19 pandemic, the Russia-Ukraine conflict, ...