What is Artificial Intelligence – AI

Artificial intelligence definition includes the extensive branch of computer science that are involved in making smart machines which have the capability and capacity to perform such tasks that require human intelligence.

What is AI ?

AI in simple words u can understand that “human intellectual functions executed by machines” As a result of advancements in artificial intelligence, machines can now mimic and even surpass many of the mental tasks that humans are capable of. Artificial intelligence (AI) is becoming increasingly integrated into daily life, from the creation of self-driving cars to the widespread availability of intelligent virtual assistants like Siri and Alexa. Therefore, businesses across a wide range of sectors are making substantial investments in AI systems because of artificial intelligence future which is uncertain. Artificial intelligence in healthcare and computer industries is developing very rapidly especially.



  • Reduction in human error
  • Fraud detection
  • Available 24×7
  • Helps in repetitive work
  • Digital assistance
  • Fast & accurate decisions
  • Rational Decision Making
  • Medical applications
  • Improves Security
  • Efficient Speedy Communication
  • Unbiased Decisions
  • Data security, surveillance, spam filters, geomapping and much more.

What is artificial intelligence (AI) examples?

AI is fastly changing our life and future, there are many mindblowing things are being invented by different companies and research labortries, check some AI examples

  • Self-driving cars
  • Manufacturing robots
  • Smart assistants
  • Healthcare management
  • Automated financial investing
  • Virtual travel booking agent
  • Social media monitoring
  • Marketing chatbots
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AI 4

Future Technology Inventions with AI

  • wireless power transfer
  • aging reversal
  • Bionic Eyes
  • Flying Taxis Airport Sys
  • Bricks with Energy Storage
  • Holograms
  • Sweat Powered Smartwatches
  • Living Robots
  • brain-computer interfacing
  • Heart Monitoring Attire
  • Super-Fast Charging Car Batteries
  • Silicon Chips with Artificial Neurons
  • AI and Scientific Experiments
  • Cancer-Detecting Smart Needles
  • Evolution of Smartphones
  • Connecting the World to the Internet
  • 3D & 4D Printing
  • Artificial Neurons and Medical Treatment
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ai 3

What are the 3 types of AI?

  • Artificial narrow intelligence (ANI), which has a narrow range of abilities.
  • Artificial general intelligence (AGI), which is on par with human capabilities.
  • Artificial superintelligence (ASI), which is more capable than a human.

Artificial narrow intelligence (ANI)

The most prevalent type of AI now available on the market is this one. These artificial intelligence systems are made to do a particular task very effectively and to address a single problem. They are limited in what they can do by definition, such as suggesting a product to an online shopper or forecasting the weather. There is currently just one type of artificial intelligence. They are able to perform similarly to humans in very particular situations and sometimes even outperform them, but only when given extremely narrow conditions and a small number of constraints.

Artificial general intelligence (AGI)

The idea of AGI is still hypothetical. It is characterised as AI that performs cognitively at a human-level in a range of areas, including language processing, visual processing, computational functioning, and reasoning.

We have a long way to go before we can create an AGI system. To emulate human reasoning, an AGI system would need to be made up of thousands of Artificial Narrow Intelligence systems working together and interacting. It has taken them 40 minutes to mimic a single second of neural activity, even with the most sophisticated computer infrastructures and systems, like Fujitsu’s K or IBM’s Watson. This illustrates the enormous connectivity and complexity of the human brain as well as the difficulty of creating an AGI using our existing technology.

Artificial superintelligence (ASI)

The capabilities of an Artificial Super Intelligence (ASI) system would be unmatched. This would entail making judgments, making sensible decisions, and even doing things like improving one’s art and developing strong emotional bonds.
Once we develop Artificial General Intelligence, AI systems will be able to swiftly move into fields that we may not have ever dared to imagine. Although the difference between AGI and ASI would be very little (some estimate as little as a millisecond, given how quickly AGI would learn), the lengthy road to AGI itself makes this seem like a far-off idea.

Patterns of Artificial Intelligence (AI):

Based on the nature and degree of difficulty of the tasks AI can complete, the field can be broken down into four distinct subfields. Automated spam filtering is an example from the most fundamental category of AI, while the far-flung possibility of machines perceiving human thoughts and emotions belongs to a different category of Artificial intelligence.

Reactive machine
As its name suggests, a reactive machine is programmed according to the most fundamental AI principles and can only use its intelligence to perceive and respond to the immediate environment. Because of its inability to keep information indefinitely, a reactive machine can’t use its past to guide its present-moment choices.


Limited memory
In order to collect data and weigh options, limited memory AI can remember previous results and projections, essentially using the past as a window into the future. Artificial intelligence with a limited memory is more challenging and offers more opportunities than reactive machines, but they also have a more limited memory.


Theory of mind
The idea stems from the well-established psychological principle that one’s own actions can be influenced by one’s awareness of the thoughts and emotions of other living things. This would mean that AI machines are capable of understanding the emotions and motivations of humans, animals, and other machines, and will use this knowledge to guide their own decision-making processes. A two-way relationship between humans and AI would require machines to understand abstract mental processes like “mind,” emotional swings during decision making, and a plethora of other psychological concepts in real time.


Self awareness
Self-aware AI is the final frontier in the development of artificial intelligence, and will not be possible until theory of mind can be established. This form of artificial intelligence is on par with humans in terms of its awareness of the world and its own existence, as well as the presence and emotions of other people. It would be able to interpret the needs of others based on not only the content but also the tone of the messages others sends.
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ai 2

Artificial intelligence and machine learning:

Although the terms are frequently used interchangeably, machine learning is actually a subfield of artificial intelligence (AI). Artificial intelligence, in this context, is the capability of computers to mimic human thought and perform tasks in real-world environments, while machine learning is the technology and set of algorithms that allow systems to recognize patterns, make decisions, and improve themselves through experience and data.

More definitions Q/A of AI

What exactly is artificial intelligence (AI)?
The replication of human intellectual functions by machines, particularly computer systems, is known as artificial intelligence. Expert systems, natural language processing, speech recognition, and machine vision are some examples of specific AI applications.

How is AI used today?
Voice assistants, picture recognition for face unlock in smartphones, and ML-based financial fraud detection are a few prominent examples of AI software that is utilised in daily life.

Who invented AI?
John McCarthy, a pioneer in artificial intelligence who worked at Stanford, has away at age 84. For the most of his professional life, McCarthy was a dominant figure in computer science at Stanford and coined the phrase “artificial intelligence.”

Why is AI so important?
The amount of data produced today, by both people and robots, considerably exceeds the capacity of humans to comprehend, understand, and base complex judgments on that data. All computer learning is based on artificial intelligence, which is also the future of all complicated decision-making.

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