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Artificial Intelligence

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A neural network draws from and emulates the structure of the brain in terms of neurons. These draw from and emulate the structure of the brain in terms of neurons. ... – PowerPoint PPT presentation

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Title: Artificial Intelligence


1
Artificial Intelligence
  • By
  • David Hunt
  • Lee Evans
  • Jonathan Moreton
  • Rachel Moss

2
Introduction
  • What is AI?
  • Theory behind AI
  • The development of AI
  • How AI is being used in the identification of
    individuals
  • Current Issues
  • Conclusion

3
What is AI?
2 main branches of AI research Biological Pheno
menal Type of AI Logical Search Pattern
Recognition
4
What Makes AI Intelligent?
  • Intelligence is the ability to achieve goals in
    the world
  • Written in specialist programming languages

5
AI In Life And Business
  • Computer games, Expert systems, Speech
    recognition
  • Deep Blue
  • Widely used in businesses to organize operations

6
Interoperation of data
  • Intelligence is about the interpretation of data
  • Turing test thought of in 1950
  • Humans remember mental images, machines raw data

7
AI vs Humans
  • AI Very precise, can cope with high amounts of
    data, needs vast amount of hardware power to
    achieve worthwhile goals
  • Human Can react to a situation quickly and
    (usually) efficiently, highly advanced hardware
    capabilities, highly adaptable and self sufficient

8
Theoretical concepts behind AI
Computers are unable to recognise shapes and
recall them like the human mind.
9
The human mind uses neurons as the basic unit of
memory, and can explain the human minds ability
to recall and recognise people for example.
Neural networks have developed as a result of
research into the human neuron. A neural network
draws from and emulates the structure of the
brain in terms of neurons. These draw from and
emulate the structure of the brain in terms of
neurons. The networks are made to learn from
training sessions and repeat what has been learnt
when given new data.
10
The Artificial Neuron
  • The Artificial Neuron receives one or more inputs
    and sum them to produce an output.
  • The original artificial neuron is the Threshold
    Logic Unit, it is a step function taking on the
    values 1 or 0 only, as required by microprocessor
    technology.

11
How AI has developed
12
Key Developments in AI
  • 1950 ? Alan Turing introduces the Turing test to
    test of a machines capability to perform
    human-like conversation.
  • 1958 ? John McCarthy invented the Lisp
    programming language.
  • 1972 ? The Prolog programming langauge was
    developed by Alan Golmeraver.
  • 1974 ? The first expert system was developed for
    medical diagnosis and therapy.
  • 1997 ? The Deep Blue Chess program beats world
    chess champion.

13
Recent Developments
After the September 11, 2001 Terrorist Attacks
there has been much interest and funding for
threat-detection. AI systems have potential in
this area and why they are being used in the
identification of individuals.
14
How AI is being used in the identification of
Individuals
  • Fingerprint recognition algorithms to identify
    and match minutiae (ridge characteristics to
    stored images.
  • Facial recognition algorithms to find and
    measure the 14-22 nodal points needed for facial
    recognition.
  • Speech recognition algorithms to match your
    speech to recorded data allowing it to understand
    and convert it to data. e.g. text

15
How AI is being used in the identification of
Individuals Fingerprint Recognition
  • The minutiae are extracted from the image and
    post processed to be easier identify. The ridges
    are then thinned and then the minutiae are
    detected. These are then matched to a database.

16
In Conclusion
  • The field of AI has developed in a short period
    of time.
  • These developments are being used in the War on
    Terror.

17
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