Towards the use of artificial intelligence and machine learning in material scientist field

Sara Samine, M. Zemzami, N. Hmina, M. Lagache, S. Belhouideg
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Abstract

Currently, the Artificial Intelligence (AI) and Machine Learning (ML) are used several engineering applications. They allow to reduce the human workload and to improve the quality of life. In addition, nearly every sector in the world intends to use artificial intelligence and machine learning. So, machine learning is a field of artificial intelligence that consists of programming a machine to learn to perform tasks by studying examples of these tasks. In other words, it consists of developing a model using an optimization algorithm to minimize the errors between the model and the data. The aim of this paper is to describe the role of artificial intelligence and machine learning and its current applications in material scientist field. The principle of deep learning and Convolutional Neural Networks (CNNs) and their use in image classification is explained.
迈向人工智能和机器学习在材料科学领域的应用
目前,人工智能(AI)和机器学习(ML)在许多工程应用中得到了应用。它们可以减少人类的工作量,提高生活质量。此外,世界上几乎每个行业都打算使用人工智能和机器学习。因此,机器学习是人工智能的一个领域,它包括通过研究这些任务的示例来编程机器来学习执行任务。换句话说,它包括使用优化算法开发模型,以最小化模型与数据之间的误差。本文的目的是描述人工智能和机器学习的作用及其在材料科学领域的应用现状。介绍了深度学习和卷积神经网络(cnn)的原理及其在图像分类中的应用。
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