SUBJECT NAME
Artificial intelligence
PRESENTED BY:
MUHAMMAD IMTIAZ
Topic Name
Artificial Intelligence Neural
Networks
Artificial Intelligence Neural Networks
Definition By Word
 Artificial + Intelligence + Neural + Networks
(Neurons)
Intelligence
Explain with Example
Neural Networks
A computer system modelled on the human brain and
nervous system
HOW?
First we should know about Brain system of Human.
PART OF MIND Hippocampus > Neurons
(Connected)
(Learn , Memorize, Processing)
1943 Foundations for neural networks laid.
Neuron
 The fundamental computational units .
 100 billion or 86 billion (Almost) neurons in the
brain, with 100 trillion connections (Synapses)
 A neuron can send the message to other
neuron to handle the issue or does not send
it forward.
Neural Networks
 The inventor of the first neurocomputer, Dr. Robert Hecht-
Nielsen, defines a neural network as-
A computing system made up of a number of simple, highly
interconnected processing elements, which process information
by their dynamic state response to external inputs.
Why Neural network needed
 AI like to Work Like human
 World want to make artificial robots just like humans
 For this purpose there was a need to make brain of
robots mind just like human mind
 There was a need to understand human mind
working.
Human Brain Neural System
(Bio View)
Neural Network Representation
(Artificial Neuron) Threshold
Examples
Brain VS AI
 Human brain the neurons signals processing is very fast and
it can process lot of signals at same time.
 But in computer..
 (Like electricity )
 So in AI we are trying to develop a process still. In Human
mind it can process lot of signals at same time to get the
output as like human brain.
Applications of Neural Networks
 Electronics --Code sequence prediction, IC chip layout,
chip failure analysis, machine vision, voice synthesis.
 Medical -- Cancer cell analysis, prosthetic design,
transplant time optimizer.
 Military − Weapon orientation and steering, target
tracking, object discrimination, facial recognition.
 Control − ANNs are often used to make steering decisions
of physical vehicles.
 SO NO
Amazon using ANN
Technology is still working on it
In future technology will increase
in ANNs and we can make more
intelligence robots.
THANK YOU
Any Q?

Artificial neural network

  • 1.
  • 2.
  • 3.
    Artificial Intelligence NeuralNetworks Definition By Word  Artificial + Intelligence + Neural + Networks (Neurons)
  • 4.
  • 5.
    Neural Networks A computersystem modelled on the human brain and nervous system HOW? First we should know about Brain system of Human. PART OF MIND Hippocampus > Neurons (Connected) (Learn , Memorize, Processing) 1943 Foundations for neural networks laid.
  • 6.
    Neuron  The fundamentalcomputational units .  100 billion or 86 billion (Almost) neurons in the brain, with 100 trillion connections (Synapses)  A neuron can send the message to other neuron to handle the issue or does not send it forward.
  • 7.
    Neural Networks  Theinventor of the first neurocomputer, Dr. Robert Hecht- Nielsen, defines a neural network as- A computing system made up of a number of simple, highly interconnected processing elements, which process information by their dynamic state response to external inputs.
  • 8.
    Why Neural networkneeded  AI like to Work Like human  World want to make artificial robots just like humans  For this purpose there was a need to make brain of robots mind just like human mind  There was a need to understand human mind working.
  • 9.
    Human Brain NeuralSystem (Bio View)
  • 10.
  • 11.
  • 12.
    Brain VS AI Human brain the neurons signals processing is very fast and it can process lot of signals at same time.  But in computer..  (Like electricity )  So in AI we are trying to develop a process still. In Human mind it can process lot of signals at same time to get the output as like human brain.
  • 13.
    Applications of NeuralNetworks  Electronics --Code sequence prediction, IC chip layout, chip failure analysis, machine vision, voice synthesis.  Medical -- Cancer cell analysis, prosthetic design, transplant time optimizer.  Military − Weapon orientation and steering, target tracking, object discrimination, facial recognition.  Control − ANNs are often used to make steering decisions of physical vehicles.  SO NO
  • 14.
  • 15.
    Technology is stillworking on it In future technology will increase in ANNs and we can make more intelligence robots.
  • 16.