ARTIFICIAL INTELLIGENCE,the field of technoloy having a vast scope and a lot of complicated extensions. But what is it?
It is “the science and engineering of building intelligent machines, particularly intelligent computer programmes,” according to John McCarthy, the father of Artificial Intelligence.
TABLE OF CONTENTS
- What is Artificial intelligence
- Goals of Artificial Intelligence
- Types of Artificial Intelligence
WHAT IS ARTIFICIAL INTELLIGENCE?
The word Artificial Intelligence is often used to refer to a project aimed at producing systems with human-like cognitive abilities, such as the ability to think, discover meaning, generalise, and learn from past experiences. It has been demonstrated that computers can be programmed to perform extremely difficult operations since the invention of the digital computer in the 1940s.Amid mounting improvements in computer processing speed and memory power, no systems have yet to equal human versatility across broader domains or in tasks involving a great deal of common knowledge. Ancient Greek myths included intelligent robots and artificial beings for the first time. The development of the syllogism and its development of deductive reasoning by Aristotle was a pivotal point in humanity’s quest to comprehend its own intellect. Despite its long and deep history, artificial intelligence as we know it today has only been around for a century.
GOALS OF ARTIFICIAL INTELLIGENCE
The basic objectives of AI are:
- Build Expert Structures – Intelligent Behavior Systems, understand, illustrate, clarify and inform its users.
- Incorporate Human Intelligence in Machinery − Build systems that understand, think, learn and act like human beings.
- Gaming AI plays a vital role in strategic games such as chess, poker, tic-tac-toe, and other games where the computer can think of a wide number of potential positions based on theoretical knowledge.
- It is possible to communicate with a machine that understands natural language spoken by humans through natural language processing.
- Expert Systems are applications that combine computer, software, and specialised data to provide logic and advice. They explain things to the users and give them advice.
- Vision systems are computer systems that understand, view, and comprehend visual information. As an example,a spy plane takes images that are used to deduce spatial information or a map of the city.
- To diagnose a patient, doctors use a clinical expert system.
- Police use computer software that compares a criminal’s face to a stored image drawn by a forensic artist.
- When a person converses with it, certain intelligent systems are capable of hearing and comprehending the language in terms of sentences and their meanings.
- Intelligent Robots are capable of carrying out human-like activities. They are equipped with sensors that detect physical data from the real world, such as light, heat, temperature, movement, vibration, bump, and pressure. To demonstrate intelligence, they have powerful processors, numerous sensors, and a large memory. They are also capable of learning from their mistakes and adjusting to a new world.
TYPES OF ARTIFICIAL INTELLIGENCE
There are basically 3 Types of Artificial Intelligence:-
- Artificial Narrow Intelligence (ANI) – They are limited in their skills, such as recommending a product to an e-commerce customer or forecasting the weather. It’s defined as AI that has a human-level of cognitive function in a variety of domains, including language processing, image processing, computational reasoning, and so on.
- Artificial General Intelligence (AGI) – The hypothetical ability of an intelligent agent to comprehend or learn any intellectual activity that a human being would is known as artificial general intelligence (AGI).
- Artificial Super Intelligence (ASI) – A framework of Artificial Super Intelligence (ASI) will be able to outperform humans in any way. This will involve stuff like making better art and forming emotional relationships, as well as decision-making and logical decision-making.
The AI is programmed to do something positive, but it devises a destructive strategy to achieve its goal: This can happen if we don’t completely match the AI’s priorities with ours, which is a challenging job. If you ask an obedient intelligent car to take you to the airport as quickly as possible, it could get you there chased by helicopters and covered in blood, doing not what you wanted but rather what it was programmed to do.
To conclude, AI will be an essential part of the enterprise experience. Organizations will gradually use, and in some cases rely on, AI systems to improve their day-to-day interactions. AI will propel language translation and enhanced innovation in the next decade, adding a new dimension of digital transformation.