Is it Better to Learn AI for Electrical Engineers?
By Arijit Banerjee
AI or artificial intelligence has revolutionised the way we look at things. Its scope has diversified to touch mammoth industries like armaments and medicine.
For years immemorial, researchers and scientists have been fascinated with the concept of how machines can be made to replicate tasks ordinarily done by humans.
The new-age smartphone comes fully equipped with a voice assistant that is teaching alarm clocks and speakers to control devices around the home or office. AI has also shaped the future of electrical engineering in a big way. Smart production lines and smarter electrical components are just some of the futuristic solutions of artificial intelligence. However, this is just the tip of the iceberg, and the scope of AI in electrical engineering is immense.
AI Is Capable Of Performing Highly Complex Engineering and Manufacturing Processes
Move over smart production lines! Modern-day AI techniques are performing highly complex electronic design tasks that seemed improbable a few years back. And there is no doubt that robotics will soon take the place of humans.
The lethal combination of software and hardware in generating cutting edge electronic processes has made the field of electronic engineering a powerhouse for wannabe AI electrical engineers. Electrical engineers are benefiting immensely from AI as the newer technologies are capable of performing highly intricate tasks and precision movements.
Data Mining, Data Extraction, Data Analysis- These big words which were lost in ignominy a few years back are now generating a massive drive that is only growing exponentially with each passing month.
Today everything is about data. Scientists, AI electrical engineers and developers are regularly bombarded with large chunks of data. Its correct manipulation can give companies a strong edge that can completely reverse its bottom line. Modern-day technology is all about data and algorithms to deal with this data.
AI in the field of electrical engineering is completely reliant on the correct analysis of data. Collecting performance-related data and then analysing it is how machine learning or AI takes place. Solutions can be chalked out, and electrical processes can be refined to make them better.
Analysis of data can tell researchers which industry will benefit maximum with automation and new electronic projects.
Autonomous vehicles or self-driven vehicles are very much a reality. This has fructified in recent years thanks to the incessant endeavours of companies like Tesla, Google, and Uber who have engineered the technology using machine learning and AI. The electrical functionalities of self-driven cars are engineered through advanced learning algorithms. The only barrier is legislative dealing with the introduction of necessary compliances.
An Engineer's Role In AI
Engineering skills, combined with the power of complex algorithms, can propel an engineer's career to limits we can only dream about. Once these AI engineers are able to harness the power of AI, they can give commands to computers to perform a task entirely on its own.
This is done by finding patterns in the data. Once the machine learns or recognises a pattern in the data, it can make accurate predictions with the use of statistics.
Electrical engineers come with the prowess and skill set needed to make effective contributions in the field of AI. Once they further fine-tune their knowledge base with the necessary know-how of AI and machine learning, they can contribute in the following way-
•Developing comprehensive strategies in the field of electronics
•Creating complex algorithms for data interpretation
•Generating new codes or revamping existing codes
•Building massive AI and machine learning platforms.
Another area in engineering which will immensely benefit from AI is that of image processing. When engineers are able to invent complex image processing algorithms, these algorithms will have machines analyse what they see. This will help the machine to identify electrical or structural abnormalities on a framework and immediately give back feedback or suggest rectifications.
This would also enhance the workplace safety of engineers who are involved in dangerous and massive electronic production lines. An intelligent system can identify structural deficiencies and point this out before the structure becomes acutely deficient or vulnerable.
Understanding the above concepts can yield great results for electrical engineers looking at embracing a career rich in aspects of AI. The future is promising, and the sky is definitely the limit.