Kmc 101/201 Artificial Intelligence for Engineering Unit-1 An overview to ai



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Artificial Intelligence for Engineering Notes Unit 1
Speech Recognition − Some intelligent systems are capable of hearing and comprehending the language in terms of sentences and their meanings while a human talks to it. It can handle different accents, slang words, noise in the background, change inhuman s noise due to cold, etc.


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Handwriting Recognition − The handwriting recognition software reads the text written on paper by a pen or onscreen by a stylus. It can recognize the shapes of the letters and convert it into editable text.
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Intelligent Robots − Robots are able to perform the tasks given by a human. They have sensors to detect physical data from the real world such as light, heat, temperature, movement, sound, bump, and pressure. They have efficient processors, multiple sensors and huge memory, to exhibit intelligence. In addition, they are capable of learning from their mistakes and they can adapt to the new environment.

Categorization of Artificial Intelligence

Artificial intelligence can be divided into two different categories weak and strong.
Weak artificial intelligence embodies a system designed to carryout one particular job. Weak AI systems include video games such as the chess example from above 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 maybe required to problem solve without having a person intervene. These kinds of systems can be found in applications like self-driving cars.
The evolution of AI to the present

Maturation of Artificial Intelligence (1943-1952)
o
Year 1943: The first work which is now recognized as AI was done by Warren McCulloch and Walter pits in 1943. They proposed a model of artificial neurons. ob Year 1949:
Donald Hebb demonstrated an updating rule for modifying the connection strength between neurons. His rule is now called Hebbian learning. ob Year 1950:
The Alan Turing who was an English mathematician and pioneered Machine learning in 1950. Alan Turing publishes "Computing Machinery and Intelligence" in which he proposed a test. The test can check the machine's ability to exhibit intelligent behavior equivalent to human intelligence, called ab Turing test.

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