7 Important Types Of AI To Watch Out For In 2022
Introduction
So what is AI, and why is it making such waves? What are the various types of AI? To get how AI is bringing about a massive change in the world, we need to dive deeper into the types of Artificial Intelligence first. Focusing on how these different types of work will help us better understand how technologists can effectively use AI to make our lives better in the future.
It is interesting to note how the Artificial Intelligence definition has changed shape and size over the years. In this article, we’ll look at some of the most common AI uses and some crucial aspects related to the rise of Artificial Intelligence and its gradual evolution over the period of time.
- Introduction To AI (A 2021 Update)
- What is the Meaning of AI?
- 7 Types of AI
- Reactive Machines
- Limited Memory
- Theory of Mind
- Self-Aware
- Artificial Narrow Intelligence (ANI)
- Artificial General Intelligence
- Artificial Super Intelligence (ASI)
- Is AI Dangerous?
- The Future of AI
- Some expected AI-based solutions in the future
1) Introduction To AI (A 2022 Update)
‘Artificial Intelligence’ is the most advanced and complex creation of humans so far. The IT world has been grappling and trying to understand what is Artificial Intelligence, right from its theoretical emergence in the 1950s. The field still requires extensive and thorough research to make AI-based solutions common in our lives.
We are right at the cusp of the AI Revolution, and we can expect a lot more to come our way. This could be the right time to equip ourselves with proper technical know-how about what is AI and how we can contribute to the revolution by enhancing our capacity for building useful solutions. So, let’s start by understanding the meaning of AI.
How are different types of artificial intelligence used?
Different types of artificial intelligence are capable of:
- Introducing analytics to underrepresented industries and fields
- Improve the functionality of currently used analytical tools, including time series analysis and computer vision.
- Take economic, language, and translation barriers out of the equation.
- Boost our memory, cognition, vision, and other skills.
2) What is the Meaning of AI?
The simplest Artificial Intelligence definition would be ‘the intelligence that the machines demonstrate.’ Machines that are intelligent and capable of enhancing their performance and capabilities.
As far as intelligence in humans and animals is concerned, significant factors contribute to it. Human intelligence has various facets, such as our capacity to feel emotion and inherent consciousness.
To better understand what is Artificial Intelligence, we can say that AI is an endeavour to replicate or simulate human intelligence in machines. This enables them to perform tasks and make intelligent decisions according to instructions and experiences fed to them.
The AI full form, Artificial Intelligence, indicates humans’ role in inducing the capacity to perform assigned tasks and make perfect decisions in machines. Thus, an adequate amount of programming and coding to control mechanisms is necessary here. It also involves electronics to create an interface between the software and the mechanism.
So, let us analyse what is the meaning of AI. We can say that Artificial Intelligence is a wide-ranging branch of computer science. It encompasses the process of building smart machines and using them for different practical and feasible applications.
3) 7 Types of AI
Before jumping to the types of Artificial Intelligence, it is vital to understand how Artificial Intelligence has been classified. The two crucial factors based on which the various types of AI are categorised are functionality and technology. So, the classification will take into consideration how the system functions and what technology a system utilises to perform them.
We’ll briefly go through all the types of Artificial Intelligence to make it easy to analyse the AI uses and understand how a particular AI-based solution works. So, here are the types of AI based on functionality and technology:
Types of AI (based on functionality):
- Reactive Machines
- Limited Memory
- Theory of Mind
- Self-Aware
Types of AI (based on technology):
- Artificial Narrow Intelligence (ANI)
- Artificial General Intelligence (AGI)
- Artificial Super Intelligence (ASI)
Reactive Machines
Reactive machines are among the types of AI that began the AI revolution through its initial phase of implementation. These are the oldest forms of AI systems with comparatively limited technical capabilities. Interestingly, these machines don’t function through a memory base. Yet, they reproduce the abilities of the human mind to respond to various types of simulations.
These machines do not execute memory-based functions. They cannot use their previous experiences to manage the current tasks assigned to them. In short, these are among the types of Artificial Intelligence systems without the power to ‘learn’ things and implement what they learn in their future actions.
The most important application of these types of Artificial Intelligence systems is to respond to a typical set of inputs immediately. However, these AI systems cannot ‘store’ their experiences and utilise the outcome for future reactions.
Limited Memory
A limited memory AI system was among the first types of AI that could ‘learn’ through its experiences.
Limited memory AI systems combine the abilities to react to and learn from the previous data. Now, the ‘learning’ process leads to technical prowess to make intelligent decisions. The present-day AI systems, including those that utilise Deep Learning, are ‘trained’ to react and learn.
Limited Memory AI Systems have a large amount of training data. This set of databases helps these types of AI systems analyse what is going on at electronic speed. Again, limited memory AI systems can ‘learn’ from previous experiences and adopt what they have learned to make future decisions.
Most of the present-day AI systems fall under this category. One of the most relevant examples of limited memory AI systems can be the ‘fingerprint scanning machine’.
Many enterprises use this equipment. It restricts entry to only authorised people on their premises. The machine analyses the features of a fingerprint-based on the stored data and reacts immediately. If the fingerprint matches a previously loaded image, the device opens the lock to let the person enter.
Theory of Mind
It is interesting to note that the last two types of AI are still functional, yet, the upcoming types of Artificial Intelligence are in their research and development phases. The researchers are on their way to bring useful developments in different branches of AI. Multi-dimensional AI development can help them make ‘Theory of Mind’ AI systems functional within the next few years.
The ‘Theory of AI’ level system proposes to understand the wide-ranging entities they deal with. Importantly, this ‘understanding’ would include the emotions, belief systems, and thinking patterns too. The technologists and researchers strive to make the machines understand humans better and learn from various factors that influence their thinking process.
Self-Aware
Self-aware systems are among the lesser-known types of AI that presently exist mainly as a theoretical idea. When we focus on what is AI and its role in our lives, the ultimate goal is to reach this phase. The intention of exploring and developing this technology would be to achieve this self-aware phase.
Self-aware AI systems would be so developed and at par with the human brain that they would possess an adequate amount of self-awareness and self-consciousness. Yet, it’s still unclear how long it will take to develop these types of AI systems. Perhaps, it may take decades to bring self-aware AI systems to life, or it may even take centuries.
Artificial Narrow Intelligence (ANI)
ANI is the most commonly applied type of AI in the current era. As you go deeper to know what is ANI, we can see that this type of Artificial Intelligence system can perform one or two tasks. It uses the training data and the learning experiences from the previous incidents.
Presently, everything in AI, right from the core developments to the sophisticated algorithms used for decision-making by machines, can be categorised under this type of Artificial Intelligence. ANI is also known as ‘Weak AI’ as it functions under a predefined, limited set of constraints.
Artificial General Intelligence
Artificial General Intelligence relates to the Theory of Mind for functionality. This type of AI is still under development. Researchers are looking for practical ways to implement human emotions and other competencies into machines to enable them to act like humans.
The target here is to develop machines that can create connections across various domains independently.
This is quite close to imitating how the human brain functions. So, Artificial General Intelligence is still evolving, and the result might be truly revolutionary for humans.
Artificial Super Intelligence (ASI)
The development of ASI systems in the future would be a peak achievement in AI Research. The AI systems would use vast amounts of memory to perform tasks and make decisions even better than human beings.
The outstanding amount of memory, rapid processing capabilities, and accelerated pace of intelligent decision-making would enable machines to perform complex tasks easily and in a shorter span of time. They will be able to make complicated decisions influenced by numerous factors like never before.
The development is on, and the researchers are achieving success one step at a time. This concept is present in its nascent stage and very much theoretical. Yet, it might soon be a reality in the near future.
4) Is AI Dangerous?
Researchers are slowly coming to terms with various AI uses and how AI is transforming the lives of human beings.
Various types of Artificial Intelligence are helping ease wide-ranging applications across different domains today. Yet, AI development needs to be value-driven. It would help eliminate possible dangers for humans in the future.
The challenge is to develop AI systems that respect human values, and social harmony, backed by an intention of human welfare in a broader perspective. So, research and development concerning the next types of AI need to be focused and intent-driven.
AI can be dangerous and could be destructive. It all depends on researchers. The entrepreneurs emphasising research in AI can contribute to keeping things on track. Therefore, AI development with ethics and values is the need of the hour.
Branches Of AI
The full form of AI in technology domain is Artificial intelligence. It can be used to solve real-world problems by implementing the following branches of AI:
Machine Learning
The science of machine learning involves teaching computers to understand, examine, and analyse data to resolve practical issues.
There are three categories in ML:
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
Deep Learning
Deep Learning uses Neural Networks to collect large-scale data from deriving insights and creating solutions. Deep learning can be utilised to address increasingly complex issues.
Popular AI examples are:
Facebook, virtual assistants like Siri, Cortana and Alexa and self-driving cars.
NLP
Natural Language Processing (NLP) is the study of using natural human language to extract information used to build companies and interact with technology.
Popular AI examples are:
Twitter and Amazon use it to know customer feedback and refine the user experience.
Robotics
The branches of AI called robotics focus on the various uses and applications of robots. Artificial intelligence (AI) robots are agents that operate in the real world and achieve outcomes by assuming responsibility for their actions.
Popular AI examples are:
Sophia is the best example of robotics.
Fuzzy Logic
Instead of the typical current computer logic, which is Boolean, fuzzy logic is a computing technique based on the ideas of degrees of truth.
AI examples are:
Automatic gearboxes and vehicle environment control
Expert Systems
The branches of AI-based computer system known as the expert system learns from and mimics the decision-making abilities of the human expert. Expert systems handle complicated issues using if-then logical notations.
AI examples are:
Used in medical facilities, information management and virus detection.
5) The Future of AI
The answer to the question, ‘is ai the future?’ would be a confident YES. If developed in the right direction, AI research could lead to miracles in the future.
On a broader scale, if we think ‘is AI the future?’, we can see tremendous positive possibilities. AI can change the dynamics of human life. Developments in AI closely connect with environmental issues, sustainability, and climate change too.
AI has the potential to make our cities less crowded, less contaminated, and more liveable in all aspects. Again, the influence of AI on the world can be much bigger and better than the invention of electricity.
Today, ‘Knowledge Engineering’ and ‘Algorithm-based Machine Learning’ draw the attention of technologists. We can expect marvellous outcomes from ongoing and future AI developments.
6) Some expected AI-based solutions in the future
- Automated cars that can revolutionise the current transport system.
- Use of AI-powered robots in assembly lines, warehouses, and other industrial tasks.
- Virtual learning with a personalised approach, and the ability to understand students’ emotional patterns would be the future of education.
- A quick analysis of financial reports and increased use of natural language processing will rule the media and financial sector.
The Takeaway
We hope the article helps you kick-start your journey to understanding what is ai, the types of AI, and the possible AI uses in the coming decade.
Now that you know what AI is, you can begin to understand why AI development is crucial and how it can bring positive changes in human life in the coming future.
