group presentation on becs
TRANSCRIPT
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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/