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What is Artificial Intellegence? - Explaining AI in Plain English for You and Me!

What is Artificial intelligence? - Explaining AI in Plain English for You and Me!

Artificial Intelligence (AI) has grown more prevalent in our lives over the past few years. You may have read about AI and its implications for future jobs and the world as a whole. However, unless you work in tech or are studying computer science, it’s unlikely that you fully understand what exactly AI is and how it works. 

If you’ve been reading articles on AI, chances are you’ve come across varying explanations of this phenomenon. There are multiple overlapping subfields within AI research -- from natural language processing to machine learning to computer vision and so on. Even when it comes to general explanations, there are many different interpretations of AI. This post will explore artificial intelligence in broad terms by breaking down its meaning and introducing some of its subcategories without getting too technical or specific.

OUTLINES

What is Artificial Intelligence?

AI and ML: What’s the Difference?

AI and Machine Learning: A Brief Synopsis

Why Is AI Important?

AI-based applications we can find today

Conclusion


What is Artificial intelligence? - Explaining AI in Plain English for You and Me!

What is Artificial Intellegence? - Explaining AI in Plain English for You and Me!


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Artificial Intelligence (AI) has grown more prevalent in our lives over the past few years. You may have read about AI and its implications for future jobs and the world as a whole. However, unless you work in tech or are studying computer science, it’s unlikely that you fully understand what exactly AI is and how it works. If you’ve been reading articles on AI, chances are you’ve come across varying explanations of this phenomenon. There are multiple overlapping subfields within AI research -- from natural language processing to machine learning to computer vision and so on. Even when it comes to general explanations, there are many different interpretations of AI. This post will explore artificial intelligence in broad terms by breaking down its meaning and introducing some of its subcategories without getting too technical or specific.


What is Artificial Intelligence?

The science and engineering of creating intelligent machines is known as artificial intelligence.. It is a computer science discipline that uses the idea of intelligence as a way of understanding human or animal behavior to design machines that can do the same. The idea of AI has been around for decades, but in recent years it’s become more and more relevant in our everyday lives. It has been used to enhance numerous fields - everything from business to healthcare and education. Let’s now explore some of the different subcategories of AI.


AI and ML: What’s the Difference?

Artificial intelligence and machine learning are often used interchangeably. At times they are not only used to describe the same phenomenon but also used to solve the same problem. While they both belong to the realm of AI, they have different goals and applications. Artificial intelligence is a broader field that includes machine learning as one of its subcategories. AI, as a whole, is focused on designing algorithms that can solve problems in a way that mimics human intelligence. Machine learning, on the other hand, is a specific type of AI that uses algorithms to find patterns in data. Simply put, AI focuses on the design and architecture of an intelligent system while ML focuses on the learning part of it.


AI and Machine Learning: A Brief Synopsis

There are two major architectures for artificial intelligence: rule-based systems and machine learning systems. Rule-based AI systems are designed with a set of rules and conditions, which are used to make the system or computer perform a specific task. Machine learning systems, on the other hand, do not have a specific set of rules; they learn by being exposed to large amounts of data and can find patterns and insights by themselves. Artificial neural networks have been a cornerstone of machine learning since the 1940s. They are systems inspired by the architecture of a human brain. Although neural networks have been around for decades, only in recent years have computers and their processing power been sophisticated enough to make them work on a large scale.


Why Is AI Important?

Artificial intelligence is one of those things that could really change our world. It’s been around for a while now, but it’s only recently started to make big breakthroughs. Some people are worried that AI could lead to the end of the human race, but others think it could solve some of our biggest problems. AI is already being used for a range of different tasks. It is able to analyse a large amount of data very quickly and then find hidden patterns and insights that humans might not have thought about. We’ve already started to see the benefits of AI in many different industries -- from healthcare to transportation. Some people argue that, with the advancement of AI, humans will lose the ability to perform basic tasks. Others think that AI will create new jobs, industries, and ways of living that we can’t even imagine yet.


AI-based applications we can find today

- Smart assistants - Siri, Google Assistant, and Bixby are only some examples. - Healthcare - AI has been applied to medical research and patient care. New breakthroughs in the field of health are expected in the near future. - Autonomous vehicles - Self-driving cars are the next big thing in the transportation industry. AI has been applied to vehicle automation since the 1960s. - Artificial Intelligence in security systems - AI has been applied to security systems and threat detection. AI is now able to analyse large amounts of data from different sources in real time and determine a threat level. - Intelligent chatbots - They are programmed to engage users in conversation and respond to various questions and commands. With the advancement of AI and the development of natural language processing, chatbots have become more advanced.


Conclusion

Artificial intelligence is a big deal. It’s been around for decades, but it’s only recently that computers and their processing power have been sophisticated enough to make it work on a large scale. AI has been applied to numerous different industries, including healthcare and security. It has also been applied to the field of autonomous vehicles and smart assistants. With the advancement of AI, we can expect to see more of its applications in the future.

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