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Artificial Intelligence by Jefferson Livara

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a brief run down of AI

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Artificial Intelligence by Jefferson Livara

  1. 1. The Mighty Human Brain The human brain is the command center for the human nervous system. It receives input from the sensory organs and sends output to the muscles. There are approximately 100 billion (100,000,000,000) neurons in the human brain. Artificial Intelligence by Jefferson Valdez Livara
  2. 2. Facts: Artificial Intelligence by Jefferson Valdez Livara
  3. 3. Facts: Artificial Intelligence by Jefferson Valdez Livara
  4. 4. Facts: Artificial Intelligence by Jefferson Valdez Livara
  5. 5. Facts: Artificial Intelligence by Jefferson Valdez Livara
  6. 6. Facts: Artificial Intelligence by Jefferson Valdez Livara
  7. 7. Facts: Artificial Intelligence by Jefferson Valdez Livara
  8. 8. Facts: Artificial Intelligence by Jefferson Valdez Livara
  9. 9. Facts: Artificial Intelligence by Jefferson Valdez Livara
  10. 10. Facts: Artificial Intelligence by Jefferson Valdez Livara
  11. 11. LEARNThe goal of A.I. is to have the ability to LEARN Artificial Intelligence by Jefferson Valdez Livara
  12. 12. Learning which resembles that of a BABY Artificial Intelligence by Jefferson Valdez Livara
  13. 13. EXPERIENCEA machine learning through experience
  14. 14. NEUROSCIENCEThe branch of science that deals with the study of the brain Artificial Intelligence by Jefferson Valdez Livara
  15. 15. Artificial Intelligence by Jefferson Valdez Livara
  16. 16. Artificial Intelligence by Jefferson Valdez Livara
  17. 17. LEARNING DEVELOPMENT IN SCHOOLS Artificial Intelligence by Jefferson Valdez Livara
  18. 18. 18TH – 20TH CENTURY MODEL OF LEARNING Artificial Intelligence by Jefferson Valdez Livara FACTORY MODEL
  19. 19. 21ST CENTURY MODEL OF LEARNING Artificial Intelligence by Jefferson Valdez Livara BLENDED LEARNING Blended learning is an education program (formal or non-formal) that combines online digital media with traditional classroom methods. It requires the physical presence of both teacher and student, with some element of student control over time, place, path, or pace.
  20. 20. Artificial Intelligence by Jefferson Valdez Livara
  21. 21. Artificial Intelligence by Jefferson Valdez Livara
  22. 22. THERE IS NO LEFT BRAIN OR RIGHT BRAIN. THEY ACTUALLY WORK TOGETHER. Artificial Intelligence by Jefferson Valdez Livara
  23. 23. NEUROSCIENCE Artificial Intelligence by Jefferson Valdez Livara COMPUTERSCIENCE A.I.
  24. 24. Artificial intelligence (AI) is branch of computer science that emphasizes the creation of intelligent machines that work and react like humans.
  25. 25. Artificial Intelligence by Jefferson Valdez Livara A.I. has been around for more than 60 years 1956 Dartmouth College John McCarthy ( Father of A.I.) 1st A.I. Conference
  26. 26. Artificial Intelligence by Jefferson Valdez Livara What is Exactly A.I.? ALGORITHM
  27. 27. Artificial Intelligence by Jefferson Valdez Livara What is Exactly A.I.?
  28. 28. Artificial Intelligence by Jefferson Valdez Livara What is Exactly A.I.? ALGORITHM An algorithm is a well-defined procedure that allows a computer to solve a problem.
  29. 29. Artificial Intelligence by Jefferson Valdez Livara What Exactly is A.I.?
  30. 30. Artificial Intelligence by Jefferson Valdez Livara What Exactly is A.I.? TO CREATE AN ALGORITHM THAT LEARN FROM EXPERIENCE
  31. 31. Artificial Intelligence by Jefferson Valdez Livara What Exactly is A.I.? MACHINE LEARNING
  32. 32. Artificial Intelligence by Jefferson Valdez Livara
  33. 33. Artificial Intelligence by Jefferson Valdez Livara What Exactly is A.I.? DEEP LEARNING Deep learning is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms.
  34. 34. Artificial Intelligence by Jefferson Valdez Livara What Exactly is A.I.? NEURAL NETWORKS A neural network is a system of hardware and/or software patterned after the operation of neurons in the human brain.
  35. 35. Artificial Intelligence by Jefferson Valdez Livara NEURAL NETWORK ACHITECHTURE
  36. 36. Artificial Intelligence by Jefferson Valdez Livara NEURAL NETWORK ACHITECHTURE
  37. 37. Artificial Intelligence by Jefferson Valdez Livara NEURAL NETWORK ACHITECHTURE
  38. 38. Artificial Intelligence by Jefferson Valdez Livara NEURAL NETWORK ACHITECHTURE
  39. 39. Artificial Intelligence by Jefferson Valdez Livara NEURAL NETWORKS ARCHITECHTURE Input layer— It contains those units (artificial neurons) which receive input from the outside world on which network will learn, recognize about or otherwise process. Output layer— It contains units that respond to the information about how it’s learned any task. Hidden layer— These units are in between input and output layers. The job of hidden layer is to transform the input into something that output unit can use in some way.
  40. 40. Artificial Intelligence by Jefferson Valdez Livara TYPE OF NEURAL NETWORKS 1. CONVOLUTION NEURAL NETWORKS a convolutional neural network(CNN, or ConvNet) is a class of deep, feed-forward artificial neural networks that has successfully been applied to analyzing visual imagery.
  41. 41. Artificial Intelligence by Jefferson Valdez Livara TYPE OF NEURAL NETWORKS E.G. OBJECT RECOGNITION Object recognition is a process for identifying a specific object in a digital image or video. Object recognition algorithms rely on matching, learning, or pattern recognition algorithms using appearance-based or feature-based techniques.
  42. 42. Artificial Intelligence by Jefferson Valdez Livara TYPE OF NEURAL NETWORKS 2. RECURRENT NEURAL NETWORK A recurrent neural network (RNN) is a class of artificial neural network where connections between units form a directed cycle. This allows it to exhibit dynamic temporal behavior. Unlike feedforward neural networks, RNNs can use their internal memory to process arbitrary sequences of inputs.
  43. 43. Artificial Intelligence by Jefferson Valdez Livara TYPE OF NEURAL NETWORKS E.G. Long Short-Term Memory Units An LSTM block is composed of four main components: a cell, an input gate, an output gate and a forget gate. The cell is responsible for "remembering" values over arbitrary time intervals; hence the word "memory" in LSTM.
  44. 44. Artificial Intelligence by Jefferson Valdez Livara CLASSIFY
  45. 45. PREDICT Artificial Intelligence by Jefferson Valdez Livara
  46. 46. Artificial Intelligence by Jefferson Valdez Livara TYPE OF LEARNING NEURAL NETWORKS Types of Learning in Neural Network Supervised Learning— In supervised learning, the training data is input to the network, and the desired output is known weights are adjusted until output yields desired value. Unsupervised Learning— The input data is used to train the network whose output is known. The network classifies the input data and adjusts the weight by feature extraction in input data. Reinforcement Learning— Here the value of the output is unknown, but the network provides the feedback whether the output is right or wrong. It is semi-supervised learning.
  47. 47. E.G. Supervised Learning: When you train the machine to recognize the names of your friends, you enter the names of your friend in the machine E.G. Unsupervised Learning: When you feed data of celestial objects in the universe and expect the machine to figure out the pattern. E.G. Reinforce Learning: When you robot tries to climb an obstruction until it succeeds. Artificial Intelligence by Jefferson Valdez Livara
  48. 48. How machines change the way we live Artificial Intelligence by Jefferson Valdez Livara
  49. 49. It is not MAN vs. Machine Artificial Intelligence by Jefferson Valdez Livara
  50. 50. It is MAN & Machine vs. Problems Artificial Intelligence by Jefferson Valdez Livara
  51. 51. Artificial Intelligence by Jefferson Valdez Livara
  52. 52. Artificial Intelligence by Jefferson Valdez Livara
  53. 53. Bob: i can i i everything else . . . . . . . . . . . . . . Alice: balls have zero to me to me to me to me to me to me to me to me to Bob: you i everything else . . . . . . . . . . . . . . Alice: balls have a ball to me to me to me to me to me to me to me Bob: i i can i i i everything else . . . . . . . . . . . . . . Alice: balls have a ball to me to me to me to me to me to me to me Bob: i . . . . . . . . . . . . . . . . . . . Alice: balls have zero to me to me to me to me to me to me to me to me to Bob: you i i i i i everything else . . . . . . . . . . . . . . Alice: balls have 0 to me to me to me to me to me to me to me to me to Bob: you i i i everything else . . . . . . . . . . . . . . Alice: balls have zero to me to me to me to me to me to me to me to me to
  54. 54. Artificial Intelligence by Jefferson Valdez Livara FUTURE OF A.I.
  55. 55. ARTIFICIAL INTELLIGENCE RESOURCES https://www.tensorflow.org/ https://openai.com/ https://mycroft.ai/
  56. 56. Contact Information: www.facebook.com/jlivara www.facebook.com/jeflivs/ jeflivs@gmail.com 0928 782 39 52 #jeflivs #jeflivstalks
  57. 57. Citations https://www.factslides.com/s-Brain http://www.telegraph.co.uk/technology/10567942/Supercomputer-models-one-second-of-human- brain-activity.html https://cft.vanderbilt.edu/guides-sub-pages/blooms-taxonomy/ https://en.wikipedia.org/wiki/History_of_artificial_intelligence http://ocw.mit.edu/6-0002F16 https://hackernoon.com/overview-of-artificial-neural-networks-and-its-applications-2525c1addff7 https://deeplearning4j.org/lstm.html Hochreiter, S., & Schmidhuber, J. (1997). Long short-term memory. Neural Computation, 9(8), 1735- 1780. Greff, K., Srivastava, R. K., Koutník, J., Steunebrink, B. R., & Schmidhuber, J. (2017). LSTM: A search space odyssey. IEEE transactions on neural networks and learning systems.aaa

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