Artificial Intelligence(AI): an emerging technology that dominates the world

What is Artificial Intelligence?

AI or Artificial Intelligence is the replication of human intellectual functions by machines, particularly computer systems. Expert systems, natural language processing, speech recognition, and machine vision are some examples of specific Artificial Intelligence applications. A branch of computer science is artificial intelligence. Its objective is to make it possible to create computers that can perform duties that are usually performed by people, particularly those that are connected to intelligent behavior.

The abilities of the human mind are used to compare artificial intelligence to. The capabilities of a human brain could be replicated and probably extended by a real, comprehensive Artificial Intelligence. It would be able to learn and predict likely future occurrences, be self-aware, possess awareness and memories, and be able to learn on its own without assistance from humans or programming input.

The Oxford Dictionary defines artificial intelligence as:

“The theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.”

The Oxford Dictionary of Phrase and Fable (2 ed.)

Importance of Artificial Intelligence

Artificial Intelligence is significant because, in some circumstances, it can outperform people at activities and because it may provide businesses with previously unknown insights into their operations. Artificial Intelligence technologies frequently do work fast and with very few mistakes, especially when it comes to repetitive, detail-oriented activities like reviewing a large number of legal papers to verify key fields are filled in correctly.

This has contributed to an increase in productivity and given some larger businesses access to whole new market prospects. It would have been difficult to conceive employing computer software to link passengers with cabs before the current wave of Artificial Intelligence, yet now Uber has achieved global success by doing precisely that. It makes use of powerful machine learning algorithms to forecast when individuals in particular locations are likely to want rides, which assists in proactively placing drivers on the road before they are required.

How Artificial Intelligence works?

For the writing and training of machine learning algorithms, Artificial Intelligence requires a foundation of specialized hardware and software. Although there isn’t a single programming language that is synonymous with Artificial Intelligence, few are widely used, including Python, R, and Java.

Large volumes of labeled training data are ingested by Artificial Intelligence systems, which then examine the data for correlations and patterns before employing these patterns to predict future states. By studying millions of instances, an image recognition tool may learn to recognize and describe things in photographs, much as a chatbot that is given examples of text chats can learn to make lifelike exchanges with people.

Three cognitive abilities—learning, reasoning, and self-correction—are the main topics of Artificial Intelligence programming.

Learning processes. This area of Artificial Intelligence programming is concerned with gathering data and formulating the rules that will enable the data to be transformed into useful knowledge. The guidelines, also known as algorithms, give computer equipment detailed instructions on how to carry out a certain task.

Reasoning processes. This area of Artificial Intelligence programming is concerned with selecting the best algorithm to achieve a particular result.

Self-correction processes. This feature of Artificial Intelligence programming is to continuously improve algorithms and make sure they deliver the most precise results.

4 types of AI

1. Reactive Machines – the first and most fundamental type of Artificial Intelligence. The intelligence of these devices is mostly confined to the present. Reactive Machines are created by programmers based on intricate sets of rules. They could also have neural networks that enable them to learn and adapt on the fly in addition to those rules. Examples include Google AlphaGo (plays Go), IBM Watson (won Jeopardy), IBM Deep Blue (plays chess), and recommendation engines used in streaming video and music services.
2. Limited Memory – This more sophisticated AI type combines reactive machine capabilities with a concept of the past. Even though they aren’t creating memories, Limited Memory AIs are aware of the recent past and can utilize the information gathered at that time to inform their actions. The finest illustration, in this case, is self-driving automobiles.
3. Theory of Mind – All of the features of Reactive Machines and Limited Memory are present at this level of AI. The fact that the living things (people, animals, etc.) around them have something termed a “mind” is an important and sophisticated concept that is added.
4. Self-Aware – The highest, most complicated, and most developed stage of Artificial Intelligence is self-awareness. It is an intellect that is actually self-aware. This includes all fictional artificial intelligence. It is a genuinely aware being. It is capable of creating memories of the past and making forecasts. It is aware of its existence and internal states, including (perhaps) emotions. It can consider other consciousnesses while making judgments since it is aware of them. Most importantly, it can pick up knowledge and develop intelligence via experience.

Artificial Intelligence Advantages

• good in occupations requiring attention to detail;
• shortened task times for data-intensive activities;
• consistently produces outcomes; and
• Virtual agents with AI capabilities are constantly accessible.

Artificial Intelligence Disadvantages

• Expensive;
• strong technical competence is necessary;
• limited availability of skilled personnel to create Artificial Intelligence technologies;
• only aware of what has been shown; and
• inability to translate generalizations from one activity to another.

Strong AI and Weak AI

An Artificial Intelligence system that is created and educated to carry out a certain task is referred to as weak Artificial Intelligence, also known as narrow Artificial Intelligence. Weak Artificial Intelligence is used by industrial robots and virtual personal assistants like Apple’s Siri.

Strong Artificial Intelligence, commonly referred to as artificial general intelligence (AGI), is a term used to describe computer programming that can mimic human cognitive functions. A powerful Artificial Intelligence system may employ fuzzy logic to transfer information from one area to another and discover a solution on its own when faced with an unexpected job. Theoretically, powerful Artificial Intelligence software should be able to pass the Chinese room test as well as the Turing test.

ARTIFICIAL INTELLIGENCE EXAMPLES

• Manufacturing robots
• Self-driving cars
• Smart assistants
• Healthcare management
• Automated financial investing
• Virtual travel booking agent
• Social media monitoring
• Marketing chatbots