Ultimate Guide To Learning Artificial Intelligence6 mins - Introduction
By definition, artificial intelligence is the ability held by an electric machine (for example, computer, a computer-controlled robot, mobile phone, etc.) to carry out functions similar to that of an intelligent being i.e. humans. These said abilities include reasoning, learning, problem-solving, perception, decision making, and linguistic intelligence.
When we talk about artificial intelligence we talk about a machine that can acquire information and at the same time apply it into various scenarios. In other words, a machine that gains information and knowledge through exposure and experience.
Artificial intelligence is developing rapidly, from mobile applications like SIRI and ALEXA to Tesla’s self-driving cars. As technology evolves so does artificial intelligence.
There are two core parts to AI; knowledge engineering and machine learning. Machines can only start thinking and reacting like humans when they have knowledge regarding the world and how it works. Knowledge engineering involves familiarizing AI with objects, their properties, and categories and how things are linked together. Machine learning involves using sensory inputs and deducing various aspects, objects, and situations of the real world.
History of AI
Before the 1950s artificial intelligence was something only heard in myths and stories. It wasn’t until the late 1950s that scientists for various fields (psychology, mathematics, economics, and political sciences) started discussing the possibility of an ‘artificial brain’. The whole concept of artificial intelligence came into existence when mathematician Alan Turing asked a simple question in his research paper, “Can machines think?” This became the basis of all future research of artificial intelligence.
The term ‘artificial intelligence’ was coined in 1956 during the Dartmouth summer research project. The project, directed by John McCarthy, not only generated the term AI but also set the basis and goals of all future work on artificial intelligence.
Early researches explored various components of AI such as problem-solving and basic reasoning (why, when, what). This early research paved the way for today’s AI which is used by millions of people around the world. These applications include Google’s AlphaGo, Siri, self-driving cars, etc.
The importance of artificial intelligence (AI)
In the modern world, artificial intelligence has become efficient to the point where it can make carry out various functions for human beings. Many industries have started using AI in several departments to perform day-to-day functions. Artificial intelligence is mainly used so that computers or machines can come up with solutions to complex tasks (similarly as humans do). Furthermore, by using their knowledge and information they can advise users on any given subject.
How is AI implemented?
Artificial intelligence comes under two categories: (1) Narrow AI, and (2) AGI (artificial general intelligence)
Narrow Artificial Intelligence
Narrow AI, also known as Weak AI, is a type of AI that can outperform humans in specific narrow tasks. These narrow tasks are highly defined and very specific (unlike general AI). Narrow AI focuses on a singular task at a time rather than performing multiple tasks at once. Examples of narrow AI include Siri, spam filters, Facebook newsfeed, image recognition software, etc. The basic underlying principle of narrow AI is that computers are only a simulation of human intelligence. They may seem to have cognitive functioning like humans but in reality, they are not conscious beings in any sense.
Artificial General Intelligence
AGI, also known as Strong AI, is defined as a type of AI that can mimic functions that are primarily carried out by the human brain. AGI is very common in science-fiction movies – a machine that can carry out all thought-process that a human can and solve a problem like an intelligent human being. AGI, at this moment, is more of a concept than reality. Humans have not yet discovered an algorithm that would completely make a machine like a human. Meaning that the machine would have its own perception, beliefs, and be intelligent in every sense.
Uses of Artificial Intelligence in the real world
Artificial intelligence has proved to be a huge breakthrough in computer science. It has made a noticeable impact on many industries, so much so that many have moved to artificial intelligence to minimize their work. Artificial intelligence has started to spread into many sects of the world such as healthcare, banking, the construction industry (and all heavy industries), and gaming. According to researchers and scientists, AI will replace many human jobs in the future – that means that AI might soon be seen in almost every industry.
Artificial intelligence has completely changed the face of medical science and healthcare. In recent years, scientists with the help of AI have introduced healthcare assistants, commonly known as health bots that offer constant healthcare to patients. Moreover, AI has improved the way medical research is conducted.
Artificial intelligence isn’t only helping banks carry out regular tasks but are also helping in creating a strong customer base. By using AI, banks are now able to make more informed decisions regarding credit and loans. Moreover, several banks have now started to use chatbots that offer assistance to customers 24/7. This not only makes the overall banking process more efficient but also reduces operating costs due to the avoidance of human errors.
Numerous construction agencies and heavy industries use artificial intelligence to transfer various objects from one place to another. Moreover, industries use AI to cut or shape objects. Not only does this save effort but also time, this means that these industries complete their tasks on time and efficiently. Furthermore, all important data can be stored and extracted whenever it may be needed.
Another industry where AI has completely changed its course in the gaming industry. Artificial intelligence has introduced virtual reality into games which has change user experience greatly. AI has been used in video games for a long time in order to produce a response and various behaviors in non-player characters.
Where AI has countless benefits in almost every field you can imagine, there comes some risk as well. One of the greatest risk AI can bring about is that it could be used for potential destruction or harmful activities. If AI is used for the wrong reasons it can have devastating consequences. However, all of this can be avoided, as scientists focus more on AI safety to regulate AI systems and behaviors.