Artificial Intelligence is a modern concept related to computer science that involves the creation of 'intelligent' machines. These computer systems are capable of performing tasks which normally require human intelligence, for example decision making, language translations, speech recognition. Basically, artificial intelligence is developed to contrast with human intelligence, with the aim of making things easier for human, not replacing them.
For a machine/computer system to be considered artificially intelligent, it must be capable of doing the following.
· mimic human behavior and thought process
· act like humans-rational, ethical and intelligent
Most people make the common mistake of confusing artificial intelligence with machine learning, and using both these terms interchangeably. However, it is important to note that artificial intelligence is a broad concept, not a technology, whereas machine learning is one of the sub-fields that falls under it.
Some specific traits that computer systems are programmed to develop include:
· Problem solving
How does artificial intelligence work?
Computer systems that are artificially intelligent operate by combining massive amounts of data with intelligent algorithms and iterative processing at a fast pace. This combination allows the software to 'learn' from features or patterns in data. In simpler words, humans feed data to machines which allows them to behave intelligently, according to the received data.
Artificial intelligence (AI) diverges into two broad, main categories: Weak AI & Strong AI.
Strong Artificial Intelligence (Artificial General Intelligence)
This is the kind of AI we witness in movies. An example of this is the robot Data from ‘Star Trek: The Next Generation’. AGI is a man-made machine, having general intelligence and the capability of applying this intelligence to solve problems, just like a human.
Progress in this category of AI is being seen at a slow-pace, but science fiction has been giving humans an idea of what AGI is in the form of ‘highly intelligent robots’. Researchers have had the idea of a ‘universal algorithm for learning & acting in any environment’ for a long time now but execution of this concept is quite far-fetched at the moment.
Weak Artificial Intelligence (Narrow Artificial Intelligence)
This category of artificial intelligence is the one that we see and are exposed to more commonly today. Narrow AI focuses on performing tasks that require a ‘specific’ skill; it works on the principles of specialization.
Some common examples of Weak AI are:
· Image/voice recognition softwares
· Self-driving cars
· Google search & other search engines
· Alexa, Siri & other ‘personal assistants’
Machine learning is that area of Narrow AI which is the most commonly known and used. During a machine learning process, the computer system is fed computer data which it then learns by using some statistical techniques. This automatic learning process allows the machine to progress in that specific task and eliminates the need for programmers to use millions of written codes.
In today’s world, the use of AI can be seen in almost every industry. From engineering to education, it is making its own place everywhere. Our own platform, in the medicinal industry, is using this concept to reinvent the way you communicate with your patients. Our artificially intelligent chatbots make sure that you never miss a patient round-the-clock!