ARTIFICIAL INTELLIGENCE & ROBOTICS
ARTIFICIAL INTELLIGENCE:
Artificial intelligence (AI) is an area of computer
science that emphasizes the creation of intelligentmachines that work and
react like humans. Some of the activities computers with artificial
intelligence are designed for:
Ø Speech recognition
Ø Learning
Ø Planning
Ø Problem solving
“The
science and engineering of making intelligent machines, especially intelligent
computer programs”. --------- John McCarthy
Strong AI:
Strong
AI is intelligence that matches or exceeds that of human intelligence.(Ultimate
of AI research)
Weak AI:
It is
narrow focused than strong AI
Whole
Brain Emulation:
Mapping
and recreating the human brain through neuro imaging.
Expert
Systems:
The expert systems are the computer applications
developed to solve complex problems in a particular domain, at the level of
extra-ordinary human intelligence and expertise.
Characteristics of Expert Systems:
- High performance
- Understandable
- Reliable
- Highly responsive
Robot:
A ROBOT is a mechanical or virtual artificial agent,
usually an electro-mechanical machine that is guided by a computer program or
electronic circuitry.
Robots can be autonomous or semi-autonomous.
A Robot may convey a sense of intelligence or thought
of its own.
AI with robots:
AI – Natural Language processing:
Processing
of Natural Language is required when you want an intelligent system like robot
to perform as per your instructions, when you want to hear decision from a
dialogue based clinical expert system, etc.
Here are two components of NLP as given −
- Natural Language Understanding (NLU)
- Natural Language Generation (NLG)
Intelligent Systems:
The ability of a system to calculate, reason, perceive
relationships and analogies, learn from experience, store and retrieve
information from memory, solve problems, comprehend complex ideas, use natural
language fluently, classify, generalize, and adapt new situations.
Machine
Learning:
Machine Learning is refers to algorithms that enable
software to improve its performance over time as it obtains more data, this is
programming by input – output examples rather than just coding.
Example:
- Programmer have no idea how to program a computer to recognize a
dog.
- But, He can create a program with a form of intelligence that
can learn to do so
- Now, he gives the enough image data in the form of dogs and let it
process and learn
- When you give the program of an image of a new dog that it’s never
seen before,
- It would be able to tell that “it’s a dog” with relative
ease.
How
does Robot work
Overview:
Great to Know (Achievements):
Deep Blue: Deep
Blue was a chess-playing computer developed by IBM. It is known for being the
first computer chess-playing system to win both a chess game and a chess match
against a reigning world champion under regular time controls
ü In
1996 Greatest Chess Player of All Time Garry Kasparov from Russia face IBM’s
Deep Blue and Garry managed to beat Deep Blue but Next year Deep Blue Won.
Deep Fritz (Super Comp): Fritz is
a German chess program developed by Vasik Rajlich (engine) and Chess Base (user
interface).
In 2002 Worlds Highest Ranker Player Vladimir Kramnic
faced off Deep Fritz (Super comp.) Vladimir managed to draw the match.
Drawbacks:
Limited Ability
Difficult code
Slow Real Time Response
Can’t Handle Emergency
Situation
Above all High in Cost
“The development of complete Artificial Intelligence
could spell THE END OF HUMAN RACE”
-Stephen
Hawking