Superiority War is On Between AI Vs. Engineering: Who Will Capture the Future?

Prof.(Dr.) D G Mahto, Founder & CEO -


Abstract:

Artificial intelligence (AI) and engineering are two fields that are rapidly evolving and changing the world we live in. The question of whether AI or engineering will “win” the war for the Future is a complex one, as both fields are vital to the progress and development of society.

Keywords:

Artificial intelligence (AI),  Engineering, Structures, Machines, Systems, and Processes.

Learning Outcomes

After undergoing this article you will be able to understand the following:

1. What's the war between AI vs. Engineering ?

2. What's the complexity of war between AI and Engineering?

3. How AI and Engineering are impacting our lives?

4. What's AI Advantages?

5.  What's Threats of AI?

6. What Are The Advantages Of Ai Over Engineering?

7. What Are Some Specific AI Tools Used In Engineering Design?

8. Conclusions

9. FAQs

References


1. What's the war between AI vs. Engineering ?

The battle between Artificial Intelligence (AI) and the engineering field is a complex and evolving landscape. AI has emerged as a transformative force across various industries, enhancing efficiency, productivity, and accuracy in tasks. On the other hand, engineers, particularly software engineers, remain highly valuable and essential for technological advancements.

Engineering is the field that involves the application of scientific and mathematical principles to design and build structures, machines, systems, and processes that improve the world around us. Engineers use their knowledge and skills to solve complex problems and create innovative solutions that benefit society.

On the other hand, AI is a field of computer science that involves the development of intelligent computer programs that can perform tasks that typically require human intelligence, such as reasoning, problem-solving, perception, and learning. AI systems are designed to be self-learning, continuously improving their performance as they process more data.

2. What's the complexity of war between AI and Engineering?

While AI and engineering are distinct fields, they share a symbiotic relationship. Engineers are increasingly using AI to design and optimize systems and processes, while AI systems are becoming more prevalent in engineering projects, from design to manufacturing to maintenance.

In the battle between AI and engineering, it’s difficult to determine a clear winner. Both fields have their strengths and limitations. AI has the potential to revolutionize the way we design and optimize systems, while engineering provides the practical and hands-on expertise needed to build and maintain these systems.


3. How AI and Engineering are impacting our lives?

However, it’s important to note that AI and engineering are not in competition with each other. Rather, they complement each other and work together to create innovative solutions that benefit society. AI can help engineers optimize systems and processes, and engineering can provide the practical knowledge needed to ensure that these systems are built and maintained safely and effectively.

4. What's AI Advantages?

The future of AI is uncertain but certain to continue its integration into diverse sectors. Ethical considerations are crucial to ensure AI's societal benefits. Humans play a pivotal role in guiding AI development ethically and implementing standards for its safe and beneficial use.


Software Engineers' Value

Software engineers are highly valued in the current technological landscape. Despite the rise of generative AI automating coding tasks, software engineers remain indispensable for innovation, problem-solving, and critical thinking. The value of software engineers is recognized by many industry leaders who prioritize their skills over capital investments.

AI as a Tool for Software Engineers

AI serves as a powerful tool for software engineers by automating repetitive tasks like code generation and refactoring. This allows engineers to focus on innovation, judgment, and complex problem-solving tasks that require human creativity and insight.In conclusion, the battle between AI and engineering is not a competition but a collaboration that drives innovation. While AI continues to advance rapidly, software engineers' expertise in problem-solving and innovation remains invaluable in shaping the future of technology.

Some great advantages of AI are

1. Diminishes Human Error

Humans can make mistakes, but computers, if programmed properly, will make fewer mistakes in certain areas.

Since AI decisions come from compiled data with designed algorithms, errors are reduced, accuracy is increased, and precision is possible.

2. Facilitates Faster Decision-Making

Finding ways to save time by making faster decisions is always valuable. AI can do this for you.

AI works alongside various technologies to aid machines in making those decisions faster than many human workers.

3. Offers Continual 24/7 Availability

AI (almost) never rests or requires sleep, while the human body and mind need rest to continue to function at optimal levels.

4. Lessens Risk

A huge advantage of AI is it can take on risky tasks which, for humans, would be extremely hazardous. 

This minimizes the risks involved in certain endeavors.

5. Automates Repetition

Repetitive work and tasks remain part of many jobs these days, often not utilizing the highest potential of human workers.

Essentially, by automating repetitive jobs, you can focus on becoming more productive, freeing you to focus more on creativity or other areas requiring uniquely human skills.

6. Provides Digital Assistants

Today, many organizations use digital assistants for customer interactions. 

This one act alone can significantly reduce the need for excessive customer service staff.

AI technology might get to a point where you may not even be able to determine if you are chatting with a chatbot in some circumstances.

7. Identifies Patterns

AI efficiently identifies patterns within your data and, in turn, can make quicker predictions. 

Artificial intelligence already excels above human abilities when it comes to detecting patterns in words, numbers, or images.

8. Identifies Better Human Workflows

Finding ways to work more efficiently and increase productivity and, in turn, revenue, includes developing better human workflows.

9. Excels at Working with Large Sets of Data

The more data available, the more AI is needed to make sense of it all in less time.

Artificial intelligence is highly beneficial in making sense of the large sets of data available these days.

5.  What's Threats of AI?

AI is both a threat and part of solution,” says Olivier Lechien. “The good news though, is AI also helps fact checkers determine whether a given image, text or audio is fake.” Political leaders could ward off interference by consulting with their electorates more frequently.

Here are some of the biggest challenges in AI and potential ways to address them:
  • Bias and Fairness : ...
  • Explainability and Transparency : ...
  • Data Privacy : ...
  • Ethical Use of AI : ...
  • Lack of Standardization : ...
  • Technical Limitations : ...
  • Job Displacement and Economic Impact : ...
  • Security Concerns :

6. What Are The Advantages Of AI Over Engineering?

Curriculum Advantages 

The curriculum of a BE in AI and Data Science course covers various AI and DS engineering subjects such as:

  • Programming languages
  • Data structures
  • Algorithms
  • Discrete Mathematics
  • Linear Algebra
  • Calculus
  • Probability
  • Statistics
  • Database systems
  • Operating systems
  • Software engineering
  • Computer networks
  • Artificial intelligence
  • Machine learning
  • Deep learning
  • Natural language processing
  • Computer vision
  • Data mining
  • Data visualization
  • Cloud computing.

The BE AI and Data Science syllabus also includes electives, projects, internships, and seminars that allow you to explore your interests and gain practical experience.

Wide Range of Opportunities

AI and Data Science are not limited to any specific industry or domain. They can be applied to almost any field or problem that involves data. Therefore, a BE Artificial Intelligence and Data Science scope can open up a wide range of opportunities for you to work on diverse projects across different sectors such as healthcare, education, finance, entertainment, etc. You can also choose to specialise in a particular area of interest such as natural language processing, computer vision, data mining, etc. or work as a generalist who can handle multiple tasks.

Skill Development and Innovation

Pursuing a BE AI and Data Science program can help you develop various skills that are essential for the 21st century such as critical thinking, problem-solving, creativity, communication, teamwork, etc. You will also get to learn the latest technologies and tools that are used in the industry such as:

  • Python
  • R
  • TensorFlow
  • PyTorch
  • Keras
  • Spark
  • Hadoop
  • AWS

Moreover, BE AI and Data Science jobs will have you working on real-world projects that can challenge you to innovate and create solutions that can make a positive impact on society.

7. What Are Some Specific AI Tools Used In Engineering Design?

AI tools used in engineering design include:

Anomaly Detection Tools: These systems are trained to identify anomalies in CAD drawings, helping engineers assess compliance with building codes or detect design errors

Generative AI: Generative AI tools like ChatGPT and Github Copilot help engineers design in new ways by optimizing designs for specific objectives or generating creative content

Open Source Deep Learning Libraries: These libraries, such as TensorFlow, PyTorch, and Keras, enable engineers to build and train neural networks for various applications

Creative Generation: AI-powered image generation tools like DALL-E 2, Midjourney, and Stable Diffusion help engineers create illustrations, break up long blocks of text, and generate images for pitch decks

3D Visualization and Simulation: Neural radiance fields (NeRFs) are AI-powered computer graphics rendering models that allow engineers to project realistic physical effects into their models, such as fire or liquids

Other popular AI tools used in engineering design include CAD (Computer-Aided Design) software like AutoCAD, SolidWorks, CATIA, NX, and Creo, PLM (Product Lifecycle Management) software, and CAE (Computer-Aided Engineering) software for simulation and optimization.

8. Conclusions

AI's advantages in reducing errors, enhancing safety, enabling continuous operations, automating tasks, improving analysis accuracy, augmenting expertise, predicting maintenance needs, and enhancing safety measures highlight its transformative impact on the engineering profession.

There is no war between AI and Engineering. They are supporting each other.

8. FAQs

How AI support Engineering tasks?

Automation of Engineering Tasks: AI automates various engineering tasks by analyzing data and providing recommendations for issue resolution, improving efficiency and minimizing errors

Simulation and Analysis: AI enhances the speed and accuracy of engineering simulations and analyses, identifying complex patterns that may be challenging for humans to detect

Expertise Augmentation: AI augments engineers' expertise by providing powerful tools for complex problem-solving, leading to innovative solutions and improved efficiency

Predictive Maintenance and Fault Detection: AI predicts equipment failures based on data analysis, recommending maintenance actions to prevent breakdowns, reducing downtime and increasing equipment lifespan

Safety and Risk Management: AI enhances safety measures in engineering by analyzing data to manage risks effectively, ensuring a safer work environment

How Can Ai Be Used To Improve Engineering Processes ?

Artificial Intelligence (AI) offers numerous ways to enhance engineering processes, improving efficiency, productivity, and decision-making. Here are some key ways AI can be used to improve engineering processes:

Simulation and Optimization: AI-powered simulations enable engineers to evaluate and optimize designs, anticipate system performance, and identify potential issues before they occur. This saves time, resources, and enhances overall product quality

Design Automation: AI algorithms automate routine design tasks, such as generating 2D and 3D models or optimizing designs for specific criteria. This automation speeds up the design process, allowing engineers to iterate quickly and improve concepts efficiently

Simulation Process Optimization: AI optimizes simulations by running them faster and more accurately. Engineers can evaluate and enhance their ideas more efficiently, leading to better designs and increased productivity

Algorithm Optimization: AI analyzes large volumes of data using machine learning techniques to optimize algorithms for specific engineering tasks. This results in faster and more efficient product development processes

Predictive Maintenance: AI enables predictive maintenance by forecasting potential equipment failures and recommending proactive measures to prevent downtime. This leads to faster product development, improved performance, and cost savings

Enhanced Decision-Making: AI assists engineers in making better choices by predictively improving workflows, suggesting best practices, and guiding design decisions along the way. This boosts knowledge and efficiency in the engineering process

 References



Prof. (Dr.) D. G. Mahto is a multifaceted professional, serving as a Director, Professor, Philanthropist, HEI Builder, prolific writer, international consultant, reviewer, and expert career advisor at "Career Education for Success—Discover, Apply, Succeed!" He has guided countless individuals, products, and brands in discovering their true potential through insightful content, purposeful concepts, and motivational writing. With a deep sense of leadership and a commitment to community upliftment, he inspires others with his success stories and takes on the challenge of driving technological transformation, redefining social impact, and fostering interpersonal relationships for a more meaningful, balanced life. Prof. Mahto is dedicated to bridging the gap between dreams and reality for young people, striving for qualitative change in their lives. To explore his articles, books, and international journal contributions, visit his blogs at Career Education Success Now, Career Edus, and Discover Knowledge Wisely. You can also reach out to him via email.

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