Artificial Intelligence Revolution in 2022 & Beyond

In recent years, artificial intelligence has made great strides in terms of technology, tools, and even more importantly the adoption rate in the workplace. However, current users are still far from utilizing it to its fullest potential. Technology has advanced to the point where it will become a constant factor in the lives of consumers and businesses. The predictions are made based on the progress of AI at the moment and where this trend will take us in the future.

The Technology Behind AI Revolution.

AI has the potential to change the world in a variety of ways, from changing how we interact with technology to changing the way we work and live. It’s also something that’s going to be a big part of our daily lives, whether we realize it or not. As the center of technology continues to move forward, more and more people are starting to take notice of the advancements being made in the field of AI.

There are 6 basic technologies required to make a functional AI:

Expert systems:

Expert systems are a type of AI technology that uses symbols to represent information instead of raw data. These systems can be very helpful in fields where other forms of AI aren’t available or when human experts can clarify any questions. However, some people believe that machine learning and natural language processing are the only true forms of AI.

Machine learning:

Machine learning encompasses a variety of statistical methods which allow computers to learn. In other words, they gradually increase their ability to carry out a certain task. Machine learning is a fundamental element of modern AI research and development, with many of the more sophisticated versions of other AI types built upon it.

Natural language processing:

NLP is a branch of AI that deals with how computers and humans communicate with each other. NLP can be divided into two subcategories: natural-language understanding and natural-language generation. NLP is also closely related to automated speech recognition (ASR), another category of AI mostly used in Siri.

Computer vision:

Just as natural-language processing helps computers understand human language, computer vision allows machines to interpret and process digital images. This area of computer science is interdisciplinary, drawing on concepts and techniques from a variety of fields including mathematics, psychology, and electrical engineering.

Automated speech recognition:

ASR and NLP might both be considered AI, but they are two very different categories. NLP is all about understanding the meaning of words, while ASR is all about understanding the meaning of sounds. Computer vision, on the other hand, is concerned with recognizing images and videos.

AI Planning:

Automated planning and scheduling, or what’s commonly known as AI Planning, is a process that helps machines better understand how to achieve specific goals. This is done through a series of strategic actions that are then carried out by the machine. A typical example of this would be a self-driving car. This is where AI planning comes in to help bridge that gap.

What Does The Future Hold For AI?

The revolution and progress of artificial intelligence (AI) technology have been incredible. It has conquered the world of robotics, and now, it is making its way into various industries and businesses. AI is not just a buzzword anymore. It is becoming a regular occurrence in our life. Thanks to AI, we are now able to chat with our phones and get answers to our questions, search the internet, shop online, and even talk to our devices by simply speaking to them.

Agriculture:

In a new AI-based initiative called FarmView, research is being carried out to create a fleet of mobile field robots that will be able to help with plant breeding and crop management. These machines will not only reduce manual labor in this industry but will also see farms utilizing their crops far more efficiently.

Businesses:

The impact of artificial intelligence on businesses and how it has the potential to replace human employees is often a highly contested topic. However, in most cases, AI is evaluated as a technology that only takes over certain tasks related to backend work, such as basic logistics operations like accounting and planning helping make human resources work more efficiently.

Healthcare:

AI is going to have a big impact on the healthcare industry in the near future. Virtual assistants will be able to have conversations with patients, answer routine questions, and suggest treatment options, which will reduce the waiting time for an appointment. AI will also be able to analyze huge data sets of medical records and genetic information to spot patterns that humans may not have picked up on.

Conclusion:

The AI Revolution is happening now and will carry on for the next upcoming years. By the year 2022 many of the self-service technologies we are already using today have been replaced by artificial intelligence. The rate of the artificial intelligence revolution will continue to grow, and the AI technologies we have today will continue to improve and advance.