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Artificial Intelligent UDINUS 10272008 Mochamad Hariadi ST, MSc, PhD.

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Presentation on theme: "Artificial Intelligent UDINUS 10272008 Mochamad Hariadi ST, MSc, PhD."— Presentation transcript:

1 Artificial Intelligent UDINUS Mochamad Hariadi ST, MSc, PhD.

2 Pendahuluan  Artificial Intelligent adalah suatu cabang dari computer science yang berusaha untuk meniru cara kerja otak mahluk hidup

3  A network of neurons  Data transfer by electric signals  Dendrite  Dendrite cells (neurons Input)  Collect signals and pass them to the neuron  Neurons  “Decide” when to initiate a signal  Axon  Axon cells (neurons Output)  Propagate neuron signals The Human Brain

4 Human Brain vs. The Computer Neurons Parallel Computing Speed: 100+ M./sec. Natural Evolution CPU - C entral P rocessing U nit Serial Computing Approx. Speed of light “Designable”

5 Agenda Hari Ini Pendahuluan 1 Artificial Intelligent MAP 2 Tools and Aplications 3 Rangkuman dan Simpulan 4

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7 Company Logo Common Knowledges DNA ANN Learning Training Fuzzy Evolutionary Computing. Artificial Intelligent Soft Computing

8 Agenda Hari Ini Pendahuluan 1 Artificial Intelligent MAP 2 Tools and Aplications 3 Rangkuman dan Simpulan 4

9 Artificial Life  Artificial Life adalah simulasi terbatas dari mahluk hidup dalam bentuk artificial, Virtual Reality dan Virtual Environmentnya

10 Artificial Fish

11 AI for Robot

12 Artificial Agent (NPC)

13 Natural Language

14 Artificial Neural Network Artificial Neural Network (ANN) or “Neural Network" (NN) Mathematical model or computational model based on biological neural networks Consist of an interconnected group of artificial neurons and processes information using a connectionist approach to computation

15 ANN  Continue  In most cases an ANN is an adaptive system that changes its structure based on external or internal information that flows through the network during the learning phase  In more practical terms neural networks are non-linear statistical data modelling tools for complex relationships between inputs and outputs or to find patterns in data.

16 Learning and Training Unsupervised L / T SOM Hebbia Learning K-Means Clustering Growing Grid GAS Fuzzy C-Means Neural Network Supervised L / T Feed Forward Back Propagation Perceptron Hopfield LVQ PCNN

17 Unsupervised L / T  Unsupervised Competitive Learning Unsupervised Competitive Learning

18 Supervised Learning LVQ

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20 20 Future:  There will be new demands for content-based accessibility for video data.  Semantic object information in video sequences is required for many advanced multimedia applications (e.g., object-based video coding, content-based video retrieval and video manipulation). ANN  Video Processing

21 Entertainment

22 Evolutionary Computation Genetic Algorithms  A process imitating natural evolution Random population Fitness function The fittest Crossover & Mutation New Generation REPRODUCTION

23 Genetic Algorithms  A process imitating natural evolution Random population Fitness function The fittest Crossover & Mutation 3’ed Generation REPRODUCTION

24 Genetic Algorithms  A process imitating natural evolution Random population Fitness function The fittest Crossover & Mutation 4’th Generation REPRODUCTION

25 Genetic Algorithms  A process imitating natural evolution Random population Fitness function The fittest Crossover & Mutation 5’th Generation Fittest individual REPRODUCTION

26 “Evolvable Hardware”  The Application of a Genetic Algorithm on programmable hardware: Chip with random circuits Measuring circuit Best Performing circuits Random Mutations New Generation of mutant circuits REPRODUCTION Functioning circuit Evolve Hardware to perform a desired function AT HARDWARE SPEEDS!!!

27 Industri Chip

28 Agenda Hari Ini Pendahuluan 1 Artificial Intelligent MAP 2 Tools and Aplications 3 Rangkuman dan Simpulan 4

29 Artificial Intelligent telah diimplementasikan di berbagai bidang Tetapi hampir tidak mungkin untuk menggantikan fungsi manusia sebenarnya Masih banyak parameter dan phenomena AI yang harus kita explore

30  Extra Slides

31 Istilah IT ICT Information and Communication Technology Adalah istilah yang lebih umum digunakan karena IT tidak bisa lepas dari Telekomunikasi Teknologi Informasi Information Technology InfoComm Di Asia juga biasa dikenal dengan nama di atas Information and Communication TELEMATIKA

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