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Review of Artificial Intelligence in Electrical Engineering


Sarvjeet Herald , RoboGenius; Abhay Kalra, RoboGenius; Rohan Sahni, RoboGenius; Sarvjeet Herald, RoboGenius


Artificial Intelligence, Electrical Engineering, Machine Learning, Neural Networks, Deep Learning, Electrical Engineers, AI in Electrical Engineering


In this paper, we review the interactions between Artificial Intelligence and Electrical Engineering to understand the new opportunities they have created together. We see that AI is being used for making instruments, measurements, design and manufacturing more accurate, precise and robust. If we combine it with microelectronics, smart electronic devices are currently a high priority. Control systems are becoming smarter, adaptive and can change behaviour with the introduction of AI. Interlinking it with power systems, we see enormous potential to revolutionize the way we can produce, transmit and consume energy. Since fault prediction is being made possible, engineers can be guided with the exact cause, type, location and recommended solution. Leveraging from the success of AI in signal processing and telecommunications for transmission, storage and processing, optimization, utilization, self-healing and automatic decision making, AI is now being extended to array processing from sensors, financial data and markets, optical networks and genomics, to the extent of say, estimating the mental state of the user using raw EEG signals. As human experience and knowledge is being transferred in the form of AI, we can conclude that new opportunities are on the way for electrical engineers to thrive in the AI-driven society.

Other Details

Paper ID: IJSRDV7I90124
Published in: Volume : 7, Issue : 9
Publication Date: 01/12/2019
Page(s): 175-180

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