How AI is Helping Shape the Next Generation of Engineers
As we debate whether Artificial Intelligence is a good or a bad thing, there is no denying that it is changing the world rapidly.
It has played a more prominent role in some fields than others, such as science and engineering, and people can even opt for courses to get equipped with AI.
So much so, that AI engineers are in steep demand as they work with traditional machine learning while harnessing the power of the limitless possibilities of AI.
Here is how AI is helping shape the next generation of engineers and how they can make the most out of technology.
AI is such a fascinating concept
Artificial Intelligence is a vast concept that has been around as early as the 1950s. As living organisms like humans and animals display normal intelligence of varying levels, artificial intelligence is the intelligence that is shown by machines, often mimicking humans.
This includes things like speech recognition and responding to questions asked. The idea that machines can think for themselves is a fascinating one and one that has been well explored in cinema. Though the general idea seems to be about AI going rogue.
In reality, Artificial Intelligence is only taking flight at the moment. It has advanced many fields such as healthcare, business, management, and engineering in particular. Separate courses and job titles in the form of AI engineers are now in steep demand.
Let’s take a look at how AI is helping to shape the next generation of engineers.
With it being a fairly new phenomenon, many can’t help but wonder what is generative design. It is an advanced form of engineering that enhances the product-designing processes. It is a goal-driven methodology that uses AI to create the most optimal designs.
Geometry generation, design analysis, and simulation combine to form the pillars of generative design. It creates the most suitable design for a product while keeping all restraints and requirements in check.
Your design, manufacturing, and engineering processes are effectively sped up when using generative design. It can try out a number of prototypes in seconds to see which one works best for you. Every part you create will be high-performance in nature.
You can also preview designs and make changes to them in real-time. You can rebuild them and check them again — all in a few seconds. The workflows created are reusable in nature, saving you the time and effort to draft one from scratch again.
Artificial intelligence has blended into the very core of engineering today. It has advanced the field in every aspect from designing to data management. As engineers, you are needed to adapt to the newer technology and learn with it.
The evolution in the job has created new divisions in the work engineers perform. AI engineers are in high demand today as they build AI models and are well versed in machine learning. They also use neural networks for deep learning and help businesses garner useful insights.
Though many engineers worry about AI being threatening to their profession, research by the University of Oxford suggests that it is not the case at all. In fact, engineering is the one profession that benefits the most from the rise of AI tools.
You have generative design, additive manufacturing, machine learning and organic latticing tools to aid you in creating better software and hardware. These advanced tools end up enhancing your own capabilities to perform better and with precision.
Every industry relies heavily on data today. And data management is the sector where the impact of Artificial Intelligence is the most visible and tangible. AI takes care of the process from beginning to end.
It helps us collect data better. You can pose relevant questions to users and store the answers neatly. Answers can be interpreted more sensibly as well. Next, you can process the data in numerous ways to suit every different context.
AI helps us analyze a piece of data faster and derive meaning from it. We can use it to improve our performance to achieve the desired results. We can also analyze data in real-time to make quick amends in emergency situations.
Advanced software can simply automate matching and tagging data entries to allow quick searches and annotation of data. Thus, the data collected is far more accurate and meaningful that you can use it to form algorithms.
The fourth industrial revolution, also referred to as Industry 4.0 denotes the rapid technological changes every industry is experiencing currently. Powered by the rise of AI and the increasing connectivity around the world.
It covers everything from the way companies manufacture a product to how they distribute it, along with how they improve on receiving feedback. In addition, it particularly helps engineering by removing the need for constant supervision during the production stage.
Wecan collect and manage data better. Now, we virtually have unlimited sources of knowledge now available to us. This significantly improves the research one can now conduct compared to earlier times.
We can easily manage designs and improve them in ways that require far less time and effort. Engineers today are making the most of the cloud storage available to them to perform better at their jobs.
Machine learning is a form of AI that has had a significant role in engineering, especially in the recent past. It studies computer algorithms and makes software applications more accurate. They also predict new output values based on historical data.
This helps engineers improve their accuracy and performance. Machine learning has had a monumental role in the technological boom we are experiencing today. Its ability to predict future outcomes gives the greatest opportunity for innovation in the field.
Whether you choose Machine Learning as a career or incorporate it into your job role as an engineer, there are ample possibilities to progress with it. With software and machines learning to perform better over time, we can direct them to conduct various tasks on their own.
Its global market is predicted to be over $117 billion by the year 2027. It has become a lucrative career path for many youngsters. Though it should be remembered that Machine Learning is a form of Artificial Intelligence and should not be used interchangeably with it.
Creating machines that can perform tasks on their own has been one of the most heavily discussed topics in AI and engineering. Both AI and Machine Learning in particular have greatly contributed to this.
Again, contrary to popular belief, having robots around in the workplace will not lead to human beings losing out their jobs. A study on robotics and automation shows that it, in fact, leads to more hiring. The goal of the engineering of robotics is to create machines that are self-sufficient.
That is, they can perform tasks and learn over time to improve their performance without any human assistance. They are already used efficiently in the manufacturing sector where they perform tasks that were earlier performed by humans.
Engineering is gradually advancing to create robotic machinery that can essentially mimic human beings. It can think for itself and perform complex tasks with precision without directions from a human.
Additive layer manufacturing is an industrial production approach that builds parts and systems one layer at a time. It is another engineering advancement that has come with the shift to digital processes from analog.
Also known as 3D printing, this is the direct opposite of subtractive manufacturing where objects are created by removing parts until the product is complete with the barest of essentials.
Additive manufacturing uses computer-aided design (CAD) software to create the most optimal designs and layer the material one upon the other. The idea is to build designs up and create the perfect mix of materials that is strong and sturdy rather than trimming it down.
Internet of Things
Internet of things (IoT) refers to physical objects that possess the ability to connect to other objects and share data. They may be able to do this by having software in them or through other technologies that enable them.
IoT is one of the successes of advanced engineering that began with creating simple devices that could share data to building complex structures that can do so much more.
It has also played a major role in the fourth industrial revolution that we mentioned above. Interrelated devices can share data with ease, avoiding delays and transferring information seamlessly.
Artificial Intelligence is one of the most intriguing concepts of our time, and we are constantly making enticing advancements with it.
Naturally, engineering is one of the industries that benefit the most from the rise of AI. Concepts such as generative design, machine learning, interconnected platforms, and networking are all powered by the limitless potential of AI.
Engineers in the future will be able to rely on AI heavily and with much less fear that things could go wrong. Unlike human errors, which are always individual and unpredictable, machines follow patterns and learned behavior, which is making it much easier to identify and fix said errors in no time.