We often listen to this buzzword called Artificial Intelligence lately from past few years, but do you actually know that this term is coined in early 1950’s. Yes, the term Artificial Intelligence is actually coined in the year 1956 at Dartmouth Conference by John McCarthy, who is considered as the founding father of AI. He is famous for his contributions to the field of AI and was also a recipient of the Turing award.
Artificial Intelligence can be defined as the ability of machines to mimic the human behaviour and taking the decisions just the way human does in those specific situations. It is the science of making machines do things that would require intelligence if done by man. Let’s get the things in more clear way.
Intelligence is the cognitive ability of an individual to learn from experience, to reason well, to remember important information, and to cope with the demands of daily living. The declared goal of Artificial Intelligence is to create computer software and/or hardware systems that exhibit thinking comparable to that of humans, in other words, to display characteristics usually associated with human intelligence. In this way we are trying to acquire human behaviour within machines so that the work can be done in an efficient and effective way, sometimes more than human.
It includes various domains in it like Natural Language Processing(NLP), Machine Learning(ML), Deep Learning(DL),Neural networks for creating intelligent machines that could actually think and take decisions accordingly for the given situations.
Alan Turing, a British mathematician, introduced the famous Turing test, which is used to test the intelligence of the machine that it can actually act like a human or not. Till date not even a single machine could pass the Turing test. Many researchers are in sough of “strong AI”.
Though the term AI is coined and defined so early, it became so popular only past 20 years. It is because, to implement the algorithms of artificial intelligence or machine learning, we require lots of data to train and test the machine, to make it ready to work. Only after introducing the internet, the world or the people in this world started generating lots of data consciously or unconsciously. Now, in this era, we’re actually generating 2.5 quintillion bytes per day which actually calls an urgency for the inception of data storage and management. And the data generated is actually so useful in feeding data to the machines for analysis and problem solving.
Weak AI, is also known as Narrow AI views any system that exhibits intelligent behaviour as an example of AI. It does not matter whether the artifact performs its task in the same way humans do. All it is concerned about the result of the task.
In contradiction to Weak AI, the strong AI is concerned with the process of performing the task rather than the results. The main aim of this AI is to simulate the human behaviour or process of performing the tasks just the way humans do.
Proponents of weak AI measure the success of the systems that they build based on their performance alone, whereas proponents of strong AI are concerned with the structure of the systems they build.
Have you ever wondered, how the siri and alexa actually reply you for your questions, how you are getting the relevant ads of shoes that you’re interested in, how your step count is getting recorded in your mobile and how google and other sites are suggesting you the articles you’d love to read???
Here’s how!! Many applications these days are actually using neural networks, machine learning algorithms, big data, cloud which actually keep count of each and every activity that you are doing everyday. These applications use the data you generate everyday to make your life easy by placing you in centre of everything that you’ll need.
Hope this gives you an insight of the term Artificial Intelligence, its components, applications and uses.
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