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GROUP PRESENTATION ON BECS

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8/3/2019 Group Presentation on Becs

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GROUP PRESENTATION ON

BECS

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Presented by:

BST 1-B group V

Submitted to :

Mr. Alimagno

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FIFTH GENERATIO N

(Artificial Intelligence)

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Fifth Generation - Present and Beyond: Artificial

Intelligence

     Fifth generation computers include the present day computers and the

ones that are being developed.

     These devices are based on the concept of 'Artificial Intelligence'. They

utilize various new technologies like 'Quantum

computing' and 'superconductors'.

     One of the applications is in 'Voice recognition' which is a software that is

used to recognize the user's voice and respond to it.

     Parallel processing is a relatively new concept that is still in the nascent

stage but has immense potential.

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Fifth Generation - Present and Beyond: Artificial

Intelligence

Artificial Intelligence is the branch of computer

science concerned with making computers behave

like humans. John McCarthy, who coined the term

in 1956, defines it as the science and engineeringof making intelligent machines.

Artificial intelligence can be broken into five

distinct categories:

Games playingRobotics

Expert systems

Neural networks

Natural language

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Game playing

     programming computers to play games such as chess and checkers

     No longer will computing simply be a person playing a game alone on their

computer; in the future, computers will be able to play along, and possibly

win.

     The best computer chess programs are now capable of beating humans. In

May 1997, an IBM super-computer called Deep Blue defeated world chess

championGary Kasparov in a chess match.

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Game playing

     In 2011, IBM introduced "Watson" to

Jeopardy viewers in the United States. The

event was designed as a test for their

newest artificial technology that can

interpret human language as well as uselogic to find the answers to common

questions and trivia. It managed to beat

all of its opponents on the trivia-heavy

game show -- even longest-running

champion, Ken Jennings.

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Expert Systems

     programming computers to make decisions in real-life situations (for

example, some expert systems help doctors diagnose diseases based on

symptoms)

     researchers are looking to artificial intelligence as a sort of fail-proof way of 

diagnosing patients and doing everyday human tasks.

     Software used with and extensive set of organized data that presents the

computer as an expert on a particular topic

     In the early 1980s, expert systems were believed to represent the future of 

artificial intelligence and of computers in general. To date, however, theyhave not lived up to expectations. Many expert systems help human experts

in such fields as medicine and engineering, but they are very expensive to

produce and are helpful only in special situations.

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Expert Systems

     not only are they able to store much more information than the human

brain, as well as have it more readily available, but their systems are not

clouded by biases and other purely human errors in judgment. Expert

systems are quite black and white, quite robotic, and it is the hope of artificial intelligence developers that they will be better at decision making

and diagnosing problems than their human counterparts.

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Natural Language

     programming computers to understand natural human languages

     Natural-language processing offers the greatest potential rewards because it would

allow people to interact with computers without needing any specialized knowledge.

You could simply walk up to a computer and talk to it.

     This is often considered one of the "holy grails" of artificial intelligence. Currently,

the kind of voice recognition that is available to consumers falls more under the

category of "dictation" than "conversation. because the computer can hear the

words and transcribe them into text, but it doesn't really have the ability to

understand their meaning or their context.

     natural language is currently limited to one tone of voice, and most artificial

intelligence computing devices can't distinguish between a softy-spoken sentence,

and an angry sentence that has been screamed at them in at high volume.

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Neural Networks

     Systems that simulate intelligence by attempting to reproduce the types of 

physical connections that occur in animal brains

     A neural network tries to reproduce the thoughts and physical connections

of human or animal brains, and is one of the hottest areas of fifth generation

computing. This is, in fact, the secret to IBM's Watson: they gave him a veryhuman brain that could largely understand language and do enough research

to answer questions.

     These neural networks are also becoming important in much smaller

applications, such as the voice recognition feature on many current personalcomputers and mobile phones.

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Robotics     programming computers to see and hear and react to other sensory stimuli

     robots will be able to lead semi-autonomous

lives, aware of their surroundings and able to

independently modify their behavior based on

their environment. It's one of the most

promising, and most difficult, areas of artificial

intelligence.

     a humanoid robot created by Honda.

Introduced in 2000, ASIMO, which is an

acronym for "Advanced Step in Innovative

Mobility", was created to be a helper to

people. With aspirations of helping peoplewho lack full mobility, ASIMO is used to

encourage young people to study science and

mathematics. ASIMO was designed to operate

in real-world environments, with the ability to

walk or run on two feet at speeds up to 3.7

mph (6km/h).

a

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References

http://en.wikipedia.org/wiki/ASIMO

http://www.techiwarehouse.com/engine/a046ee08/Generations-of-Computer

http://www.techiwarehouse.com/engine/0ee1987d/Fifth- Generation-of-Computers

http://fahmirahman.wordpress.com/2011/01/04/five-generations-of-computer/

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Thank You