The document discusses artificial intelligence (AI) and what constitutes intelligence. It notes that AI is not the same as robotics, as robots may not be intelligent and intelligent machines need not be robots. It then lists several attributes that could be considered aspects of intelligence, such as logic, learning, communication, emotional knowledge, memory, planning and problem solving. The document goes on to discuss concepts like the singularity, why research in AI is pursued, examples of current AI projects, and differences between fast computers and true intelligence.

1. Understanding AI
through pop culture
By
Jaidev Deshpande
@jaidevd
SciCamp 1, Mumbai
27th
April, 2014

2. AI != Robotics
A robot may or may not be intelligent

3. AI != Robotics
An intelligent machine may or may not be a Robot

4. What is Intelligence?
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Logic
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Abstract thought
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Understanding
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Self-awareness
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Communication
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Learning
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Emotional knowledge
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Memory
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Planning
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Problem solving

5. Logic

6. Self-awareness

7. Communication

8. Learning (Data analysis)

9. Learning (Classification)

10. Emotional Knowledge

11. Planning & Problem Solving

12. What is Intelligence?
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Logic
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Abstract thought
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Understanding
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Self-awareness
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Communication
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Learning
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Emotional knowledge
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Memory
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Planning
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Problem solving

13. The Singularity

14. The Singularity:
Computers some day will be able to
create systems of arbitrary complexity
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Moore's law => Faster computers, more
storage
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Faster != smarter
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IQ distributions (Humans)

15. Thus, no reason to assume that fast => smart.

16. Research in AI
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Why bother?
– Because, Fermat's last theorem – Taniyama Shimura
conjecture
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Low-hanging fruits:
– Automated data analysis
– Machine learning
– Pattern recognition - “Understanding” in AI
– (Natural) Language processing
– Computer vision

17. Popular AI (and related) projects
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Wolfram Alpha
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http://kaggle.com
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Many in the SciPy stack
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MATLAB and GNU Octave
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Extreme learning machines
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The Hutter Prize