Who in the field of Artificial Intelligence (AI) hasn’t heard of John McCarthy? He was one of the pioneers in the field. The term “Industrial AI” was first used in the very early stages of the creation of artificial intelligence, but let’s explore what has occurred over the past ten years.
Despite the existence of AI in the early part of 2010, industrial applications received little attention. But, as of today, in 2023, we are seeing its implementation in nearly every area of our lives, including parking lots, shopping centers, hospitals, home appliances, and even supermarkets. The word “AI” and its successful applications are frequently discussed.
The word AI was quite common around 1988, that the buzz continued into the 1990s, and that it began to decline around the time that no one or very few people were discussing it. Industrial AI was revived in Germany in 2013 and helped it accelerate after a brief period of desolation, even though it had actually been created back in 2011. We now are living in ‘AI GoldenAge’!
Genuine AI will be a “must-have” in all knowledge-intensive tasks in the Golden Period of AI. Genuine AI: What Is It? Genuine artificial intelligence is that which is built on native AI architecture. It doesn’t operate in the same manner as patching AI modules into any standard system or piece of software. Genuine AI architecture enables Artificial Intelligence-based systems that are simple to learn from the data already available, simple to maintain, affordable, and self-learning and self-adaptive to changing conditions and learn to work with complexity, which occurs in the real world. It also has to be ubiquitous to be able to work in the cloud as well as on the edge. How is that decided? The amount of data, the number of transactions required, and where the processing is required are all factors that influence whether it should be on the cloud or on the edge. For instance, a Nuclear power plant uses an application that requires absolutely secure auto failure correction system. Genuine AI must be simple to set up, and it is noted that industrial AI systems are simpler to connect like plug-and-play systems. Certain first-principles methods are excellent but difficult to maintain and almost outside the core industrial use. Yet, the AI systems can help maintain accurate systems assisting the industry to be at its best efficiency level. Genuine AI has to be meaningful and capable of self-explaining.
