Autonomous Machine Learning for AACR

Machine learning has been emerging as a promising tool in the chemical and materials domain. In this paper, we introduce a framework to automatically perform rational model selection and hyperparameter optimization that are important concerns for the efficient and successful use of machine learning, but have so far largely remained unexplored by this community. The framework features four variations of genetic algorithm and is implemented in the chemml program package. Its performance is benchmarked against popularly used algorithms and packages in the data science community and the results show that our implementation outperforms these methods both in terms of time and accuracy. The effectiveness of our implementation is further demonstrated via a scenario involving multi-objective optimization for model selection.

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Classification of Lathe’s Cutting Tool Wear Based on an Autonomous Machine Learning Model

Journal of Control Automation and Electrical Systems ◽

10.1007/s40313-021-00819-5 ◽

2021 ◽

Author(s):

Thiago E. Fernandes ◽

Matheus A. M. Ferreira ◽

Guilherme P. C. de Miranda ◽

Alexandre F. Dutra ◽

Matheus P. Antunes ◽

...

Keyword(s):

Machine Learning ◽

Tool Wear ◽

Cutting Tool ◽

Learning Model ◽

Cutting Tool Wear ◽

Machine Learning Model ◽

Autonomous Machine

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Governance and Ethics of AI

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.38992 ◽

2021 ◽

Vol 9 (11) ◽

pp. 1467-1471

Author(s):

Atharv Jangam

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Computer System ◽

Human Mind ◽

Privacy And Security ◽

Autonomous Machine

Abstract: In this article we discuss ways AI can be fruitful and inimical at the same time and consider hurdles in implementing ethics and governance of AI. We conclude with presenting solutions to overcome this issue. Artificial intelligence (AI) is a technology that allows a computer system to mimic the human mind. AI, like humans, is capable of learning and developing itself through doing tasks such as planning, organizing, and executing numerous activities. However, as we develop and expand our understanding of AI, there are a few advantages and downsides that should be addressed. Privacy and security are vital, but they conflict with the advancement of AI technology since computers and AI require a large quantity of data to Comprehend and anticipate outcomes. With the advancement of technology, we should be able to maximize security and eliminate the current drawbacks. Keywords: Artificial Intelligence (AI), Autonomous, Machine Learning (ML), Governance, Ethics, Deepfake

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