Artificial Intelligence: Definition, Types, Benefits & Uses
AI is no longer a concept that is only evident in sci-fi movies. Today, Artificial Intelligence is as real as it gets. AI applications are not just impressive but are proof that the future is here – from robots that can express almost all human emotions to electrical appliances that can be operated from a significant distance using a micro remote on from say Japan, to studying and analyzing consumer patterns and behaviors through data analytics for marketing purposes – AI does it all!
Let’s take a closer look at what AI means. Then, we will move on to explore its types, benefits, applications, and popular Artificial Intelligence examples.
What Is Artificial Intelligence?
Artificial intelligence (AI) is one of the booming pillars in the vast computer science sector. It largely focuses on creating smart machines that are designed to perform human tasks with the same level of rigor and intelligence.
The roots of this field are buried deep in time. The concept evoked much curiosity after Alan Turing’s all-famous question in his 1950 paper ‘Computing Machinery and Intelligence’ while working at the University of Manchester; the million-dollar question being – ‘Can machines think’? In its simplest sense, AI is the branch of computer science that is striving to find a positive answer to this question. Each successful innovation in the field is a steady step towards enabling machines to think and function with human intelligence.
The world of AI is still so vast and slightly vague that it is hard to find a singular meaning. Given the grandeur of AI, it is primarily divided into four main categories called reactive, limited memory, theory of mind, and self-awareness. While the applications of some of the types exist in our daily life, some are still futuristic dreams, yet to be achieved.
Types Of Artificial Intelligence
1. Reactive AI:
The first on the list is Reactive AI – a foundational type of artificial intelligence that gives the same output each time it is provided with identical inputs. Reactive AI machines cannot adopt intuitive functionalities, and hence their uses are limited. They have now reached their maximum potential and serve as a strong foundation for the other types of AI to learn from and build on.
Key examples of reactive AI are – Deep Blue, the chess-playing IBM supercomputer that won against world champion Garry Kasparov, and the brilliant Netflix recommendations.
2. Limited Memory AI:
One of the most popular types today, limited memory AL is a step forward from reactive AI. The machines that are products of limited memory AI can study past actions or information and learn from it. They make use of ancient data to perform complicated tasks.
Key examples of limited memory AI are autonomous vehicles that observe other cars functioning well on the roads, carefully studying the ideal speed and a sound sense of direction. The only limitation with this example is that the data cannot be stored in the car’s long-term memory.
3. Theory of Mind AI:
This is easily the most fascinating type of AI since its progress is astounding. Theory of mind AI has come a long way, to an extent where it can enable us to have profound conversations with robots that seem almost like us.
Not only can these machines emote and behave like humans, but they are also known to make decisions of their own, based on their observations and learnings, much like we do. Key examples are:
- The Kismet robot head, developed by Professor Cynthia Breazeal can read emotional signals on human faces and replicate them on its own face.
- Sophia, the robot developed by Hanson Robotics in Hong Kong that holds intelligent interactions with humans, and has her own facial expressions.
4. Self-aware AI:
This type of AI is still considered to be futuristic in many ways. There is still a lot of progress to be made with self-aware AI. In this case, the machine can not only replicate human emotions through observation but also have feelings of their own.
If self-aware AI machines are ever built to perfection, they will have the same level of intelligence and consciousness that humans do – they will be able to express, think and perform the most complex of tasks like us. In addition, they will bring more precision and speed to the table, ensuring absolute excellence.
Top 5 Benefits of Artificial Intelligence
1. Offering 24×7 Availability:
No matter how determined and ambitious we are as humans, our minds and bodies are not inexhaustible. At some point, we need and want enough rest.
Machines, on the other hand, can be available to serve consumers and clients 24×7, with no breaks needed. Unlike humans, they can work for hours on end without the possibility of a burn-out.
2. Eliminating Human Errors:
Many businesses belonging to different sectors have suffered huge losses as a result of human error. These unintentional faults also cause delays in project deliveries.
What’s tricky is that one can never predict these errors to prevent them. Unlike humans, thoughtfully-designed machines use data and algorithms to ensure that there is the maximum level of accuracy.
3. Taking Fatal Risks:
While human curiosity knows no bounds, there is only so much we can risk given that we are not invincible. Here is where machines come into the picture as great substitutes.
AI-powered machines can compensate for our limitations. They can take on tasks that can prove to be harmful to our well-being like sending them out to learn more about space, operating in hazardous environments, or leading rescue operations during natural disasters.
4. Handling Tedious Tasks:
Working on repetitive tasks is one of the major reasons leading to unproductivity among employees. Businesses can bring help to improve resource productivity by automating tedious tasks like sending follow-up emails or sifting through massive chunks of documents.
This way the resource will be free to attend to the more important revenue-generating tasks.
5. Making Quicker Decisions:
A fine blend of AI with other machine learning technologies can allow computers or automated systems to make decisions at a faster pace. These decisions will be based less on intuition and more on data retrieved in the past, which is always more accurate and reliable.
The systems can even act faster on the changes that are required and contribute to speedy business growth.
Artificial Intelligence Applications & Examples
1. Marketing & Advertising:
Now, data analytics has been present for a substantial time, but AI marketing is taking data and predictive analysis to another level, in terms of speed in testing and retesting data, and precision in considering all factors – all of this with little to no human intervention.
2. Real Estate:
AI-powered applications can help real estate firms with streamlining and optimizing operations, staying on top of the market forecasts, and getting easy access to property values and the necessary user information to sell them properties aligned with their interests and needs.
3. E-commerce:
In the E-commerce sector, there is no better way to ensure seamless user experiences via AI-powered websites and applications. This can help brands outpace the fierce competition and build a solid strategy that gives them a winning edge. In addition, AI-based chatbots can operate 24*7 to address consumer queries and concerns.
4. Healthcare:
AI has been a boon for healthcare services as its applications are diverse; each one has allowed experts in the field to derive invaluable insights contributing. AI aids them with identifying better ways to treat certain medical conditions. Well-built AI tools and applications can help conduct accurate diagnoses and perform medical procedures with impeccable precision.
5. Gaming & Entertainment:
The gaming and entertainment industries were one of the very first ones to truly embrace the advantages of AI. In the gaming industry, AI can be leveraged to control the actions of non-player characters (NPC) that help shape the storyline of the game and give it the right direction. As for the entertainment industry, AI enables program producers and platforms to provide users with tailored experiences by studying their watching history and preferences.
The Scope & Future Of Artificial Intelligence
Artificial Intelligence is the path to a future that is defined by comfort and convenience of the highest quality. In addition, Machine Learning is critical in the process of building intelligent systems design and data analysis in Science and Technology. It is a human-made intelligence (AI) application that permits systems to learn and improve from experience without the help of explicit programming.
The presence of AI spans diverse sectors across the globe – right from IT, Finance, and Commerce – every industry leveraged Al for enhanced efficiency. As such, the demand for AI experts is rising by the hour. The technology-fueled world has opened up new avenues for aspirants looking to make it big in the realm of Artificial Intelligence and Machine Learning.
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