Artificial Intelligence Applications In Scientific Computing And Engineering Systems

Priya N; Dr R Kalidasan; Mohammed Abdullah Shareef; V Kumar; Dr. Vijay Dattatray Gaikwad

doi:10.29284/afvert91

Authors

Priya N Assistant Professor, Department of Computer Science, SRM Institute of Science and Technology
Dr R Kalidasan Associate Professor, School of Mechanical Engineering, Lovely Professional University, Phagwara, Punjab, India. Pin Code 144 411,ORCID: 0000-0001-5366-9822
Mohammed Abdullah Shareef Student, Osmania University.
V Kumar 4Assistant Professor, Department of Computer Science, Central University of Kerala, Kasaragod, Kerala, India.
Dr. Vijay Dattatray Gaikwad Department of Electronics and Telecommunication Engineering, Vishwakarma Institute of Technology, Pune – 411037, India.

DOI:

https://doi.org/10.29284/afvert91

Keywords:

Artificial Intelligence (AI), Scientific Computing, Engineering Systems, Machine Learning Algorithms, Computational Modeling.

Abstract

Background: The integration of the Artificial Intelligence (AI) within the scientific computing as well as engineering systems has mainly had gained substantial traction due to its actual ability to improve computational efficiency, precision, and the decision-making. Some of the algorithms that are considered as AI include machine learning, deep learning and evolutionary algorithm and that it can also be utilized to transform the rock in numerous areas of science and engineering.

Methods: AI techniques are mainly being employed within the scientific computing for the context of data analysis, simulation, and also to mainly identify the various patterns. It finds application mainly as neural networks to predict very complex systems, genetic algorithms to optimization in engineering design and adaptive systems through the use of reinforcement learning. Besides that, AI is also used in physics, chemistry and biology and resolves issues related to life in the curb using devices, including the support vectors machines and fuzzy logic.

Results: It has been proved that the AI could be easily used in optimization of the engineering systems designs, increase reliability of the engineering systems and provide predictive maintenance solution within the engineering systems. An example; the flight control systems have been upgraded with the help of an AI-based model where in the field of mechanical engineering system, AI is applied in an attempt to optimize the material usage and reduce the number of used consumed energy. The positive breakthroughs in the sphere of climate and drug development as well as material science were also the results of scientific simulations with the assistance of AI provided.

Discussion: The issues that are surrounding the use of AI still remain even following the incredible improvement. These entail tremendous and well-trained data needed, computing equipment, not to mention, artificial intelligence and singular-engineering performance. Nevertheless, this issue can be resolved since the unceasing search and development of AI algorithms and computer power will endeavor to enhance performance and reduce grade by cutting the cost down the line.

Conclusion: The scientific Computer systems and engineering applications have been experienceing a gradual increase and have revolutionized the scientific field of automation, optimization, and predictive analysis. The future of including AI to the field is independently shutting the prospect of blindness to accelerate the efficaces, application in the world and the existence of unficing the world of the incurable issues that will additional energize further research and technological rise in the future.

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