What is A.I.? Know all about A.I.

What is A.I.?

  AI is a branch of computer science, dealing with the simulation of intelligent behaviour in computers. In general, AI is teaching a machine, and the machine becoming smart!

The word AI was first coined by John Mccarthy in 1955 at The Dartmouth conference. He also proposed the 7 important areas of AI. Which were,

1. Simulating higher functions of the brain.

2. Programming a computer to use general language.

3. Arranging hypothetical neurons in a manner, enabling them to form concepts.

4. A way to determine and measure problem complexity.

5. Self-improvement.

6. Abstraction: defined as the quality of dealing with ideas rather than events.

7. Randomness and creativity.

  When most people hear the term artificial intelligence, the first thing they usually think of is robots. That's because big-budget films and novels weave stories about human-like machines that wreak havoc on Earth. But nothing could be further from the truth.

 

  Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and accomplish tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include learning, reasoning, and understanding.

  As technology advances, previous benchmarks that defined artificial intelligence become outdated. For example, machines that calculate basic functions or recognize text through optimal character recognition are no longer considered to embody artificial intelligence, since this function is now taken for granted as an inherent computer function.

  AI is continuously evolving to benefit many different industries. Machines are wired using a cross-disciplinary approach based in mathematics, computer science, linguistics, psychology, and more. Artificial intelligence can be categorized into week AI and strong AI

Categorisation of A.I.

  Weak artificial intelligence embodies a system designed to carry out one particular job. Weak AI systems include video games such as the chess and personal assistants such as Amazon's Alexa and Apple's Siri. You ask the assistant a question, it answers it for you.

  Strong artificial intelligence systems are systems that carry on the tasks considered to be human-like. These tend to be more complex and complicated systems. They are programmed to handle situations in which they may be required to problem solve without having a person intrude. These kinds of systems can be found in applications like self-driving cars or in hospital operating rooms.

But have you ever wondered how can we teach a machine to make it smart? (MACHINE LEARNING)

  There is a broad body of research in AI, much of which feeds into and complements each other.

  Currently enjoying something of resurgence, machine learning is where a computer system is fed large amounts of data, which it then uses to learn how to carry out a specific task, such as understanding speech or captioning a photograph.

What are neural networks?

  Key to the process of machine learning is neural networks. These are brain-inspired networks of interconnected layers of algorithms, called neurons, that feed data into each other, and which can be trained to carry out specific tasks by modifying the importance attributed to input data as it passes between the layers. During the training of these neural networks, the weights attached to different inputs will continue to be varied until the output from the neural network is very close to what is desired, at which point the network will have 'learned' how to carry out a particular task.

  A subset of machine learning is deep learning, where neural networks are expanded into sprawling networks with a huge number of layers that are trained using massive amounts of data. It is these deep neural networks that have fuelled the current leap forward in the ability of computers to carry out a task like speech recognition and computer vision.

  Also, make sure to check out my youtube channel Talk To Me! 

  this was a guest post written by Mohammed Ahmed. to know more about guest blogging on this blog, contact me.

Posts before October 2021 have been marked as "Old Posts". Less likely, but they might have out dated or incorrect information, ugly looking bits of code, no labels, etc. Don't get me wrong, many of these posts are top-notch and interesting too.

I thought it would be better not to delete or revamp these posts, even if they suck. The bitter truth is that old works always suck, but I take that as a positive tool to convey that I am growing. Besides there's no better way to showcase my journey without these old, messy, poorly written posts!

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