Introduction to AI - PowerPoint PPT Presentation

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Introduction to AI

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Title: Introduction to AI


1
Lecture 1 Introduction to Artificial
IntelligenceDr Khalid Abd
2
Definitions (1)
The exciting new effort to make computers think
machines with minds
Systems that think like humans
3
Definitions (2)
Systems that exhibit the characteristics we
associate with intelligence in human behavior
understanding language, learning, solving
problems and so on.
Systems that think rationally
4
Definitions (3)
The study of how to make computers do things
which, at the moment, humans do better
Systems that act like humans
5
Definitions (4)
The study of rational agents that exist in an
environment and perceive and act.
Systems that act rationally
6
Definitions
  • Systems that think like humans
  • Systems that think rationally
  • Systems that act like humans
  • Systems that act rationally

7
Artificial vs. Human Intelligence
  • Todays computers can do many well-defined tasks.
  • Example arithmetic operations, much faster and
    more accurate than human beings.
  • However, the computers interaction with their
    environment is not very sophisticated yet.

8
Artificial vs. Human Intelligence
  • How can we test whether a computer has reached
    the general intelligence level of a human being?

Turing Test
9
Turing Test
  • Alan Turing's 1950 article Computing Machinery
    and Intelligence discussed conditions for
    considering a machine to be intelligent
  • Can machines think? ?? Can machines behave
    intelligently?
  • The Turing Test is a method for determining
    whether or not a computer is capable of thinking
    like a human.

10
Turing Test
  • In Turing's test, if the human being conducting
    the test is unable to determine whether an answer
    has been given by a computer or by another human
    being,
  • Then the computer is considered to have "passed"
    the test.

11
Turing Test
What would a computer need to pass the Turing
test?
  • Knowledge representation (to store and retrieve
    information provided during interrogation)
  • Automated reasoning (to use the stored
    information to answer questions and to draw new
    conclusions)

12
Turing Test
What would a computer need to pass the Turing
test?
  • Language/image understanding (to communicate with
    examiner)
  • Machine learning (to adapt to new circumstances )

13
Artificial intelligence (AI)
  • The study of computer systems that attempt to
    model and apply the intelligence of the human
    mind.

For example, writing a program to pick out
objects in a picture.
14
AI applications
Robotics
  • Robots may be one of the most well known examples
    of Artificial Intelligence.
  • Robotics continue to evolve from manufacturing,
    medicine, security, personal assistance ..

15
AI applications
Industrial Robots
16
AI applications
Handwriting recognition
17
AI applications
Machine translation
18
AI applications
Virtual assistants
19
AI applications
Autonomous driving
20
AI applications
AI In Military
  • The U.S is spending as much 100 billion dollars
    to develop robots that can aid or replace human
    soldiers on the front line.
  • Flight simulations and virtual environments help
    train Soldiers.

21
Whats New in AI
  • Honda has created a helmet-like device that can
    read human brain waves and transmit them to
    humanoid robot.

22
AI applications
... Web search Speech recognition Handwriting
recognition Machine translation Information
extraction Document summarization Question
answering Spelling correction Image
recognition 3D scene reconstruction Human
activity recognition Autonomous driving Music
information retrieval Automatic
composition Social network analysis ...
... Product recommendation Advertisement
placement Smart-grid energy optimization Household
robotics Robotic surgery Robot exploration Fraud
detection Fault diagnostics AI for video
games Character animation Financial
trading Dynamic pricing Protein folding Medical
diagnosis Medical imaging ...
23
Sources of complexity in AI tasks
1- Computational complexity
Example Machine translation number of possible
translations?
Suppose our English vocabulary has size 10000 and
we are considering English translations with 20
words.
24
Sources of complexity in AI tasks
2- Information complexity
Information complexity need to acquire knowledge
uncertainty is pervasive
25
Resources of AI
  • In terms of computation, computers (fast CPUs,
    GPUs, lots of memory, storage, network bandwidth)
    are a resource.

26
Resources of AI
  • In terms of information, data is a resource.
    Fortunately, for AI, in the last two decades, the
    amount of computing power and data has skyrocketed

27
Solving complex task in AI
28
Solving complex task in AI
Modeling is the art of converting a real-world
task to a formal task (which we will now call a
model) amenable to algorithmic solutions.
29
Solving complex task in AI
Algorithm
  • Scan through to find largest, scan through again
    to find the second largest, etc.

30
Solving complex task in AI
Modeling
Algorithms
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