Artificial Intelligence(AI) Supercomputers

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What Is Artificial Intelligence?

an approach to make a computer, a robot, or a product to think how smart human think. ...

Its aim is to improve computer functions which are related to human knowledge, for example, reasoning, learning, and problem-solving

Does it exist?

Fortunately, artificial intelligence does not exist. 

In French we say “dumb as a donkey”, and a donkey is in many ways much smarter than any computer. For example, we regularly talk about autonomous cars, which are not yet ready after more than half a century of research. Well, a donkey can drive itself only a few weeks after birth.

But if A.I. doesn’t exist, what’s taking our jobs today??

These are new types of algorithms that–without thinking or will–can solve

 complex specific problems,recognize and sort images,load a warehouse, drive a car, play chess, etc.
This is not a “strong” AI, because each algorithm is limited to its problem: the one who sorts the images cannot drive a car. However, the resolution of these problems was previously thought to be the prerogative of humans. Moreover, the computer technologies used reproduce learning and thinking behaviors that make them appear to “think” like men (although this is not really the case). This is why these algorithms are often called “weak” artificial intelligence as opposed to strong AI. More and more complex tasks can now be handled by these algorithms–to the extent that these tasks do not require “strong” intelligence.

Technology Behind It?

  •  Expert systems

Expert systems are the quintessential symbolic AI.

Symbolic means information is stored and transferred in symbolic containers, or entities, rather than as raw data.

  •  Natural-language processing
Natural-language processing (NLP) is an area of AI concerned with the interactions between computers and human (natural) languages.
NLP separates  into 2 sub-categories: natural-language understanding and natural-language generation, and is closely related to automated speech recognition (ASR), which is another category of AI.



  • Computer Vision
  • Computer vision is to images as Natural-language processing (NLP) is to words.

    Computer vision is an interdisciplinary field concerning how computers can see and understand digital images and videos.

    There’s no better example of computer vision than Facebook’s facial recognition AI, which is now human-like in recognising faces. 














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