Artificial intelligence (and related topics, e.g., machine learning, deep learning, artificial neural networks or ANNs) as applied to the teaching and to the practice of analytical spectrochemistry

Abstract

In this paper, the application of Artificial Intelligence (AI) and related topics (e.g., Machine Learning, Artificial Neural Networks (ANNs), deep learning) as they apply to analytic spectrometry (e.g., either using Inductively Coupled Plasma -Optical Emission Spectrometry (ICP-OES), or a portable, battery-operated microplasma-OES) using a fiber-optic spectrometer) will be described, and the application of AI to teaching analytical atomic spectrometry will be outlined.