artificial intelligence

ARTIFICIAL INTELLIGENCE
Computer science with intelligence artificial
Using machines with high power computational
Taking cognizance of environment around
Maximizing successful actions found.

Artificial intelligence with traits of reasoning
Knowledge, planning, learning, and communicating
With good perception of problem, moving and manipulating
With computers of high computational power amazing.

With knowledge and discoveries in Neurology
In formation theory and cybernetics
Began scientists discovering electronic brain
With solving capability of any human problem fine.

Twenty first century AI achieved success
In logistics , data mining, medical diagnosis
Success achieved by researchers
With good foundation in mathematics and scientific standards.

Physical protection from information
Utilizing red enclaves,protected wire distribution
Diplomatic pouch or other secure physical transport means
Automatic application of encoding and stegnogaphic machines

Information organization, possession and seured transmission
Technologies conceal the origination, store, possession in desired location

Algorithms imitate human minds
In step by step reasoning solution finds
With uncertainties solved by probability
With enormous computational power availability.

Humans solve problems fast
Intuitive power they posess a lot
Neural network research began
Simulating human and animal brain skill scan.

Knowledge representation and knowledge engineering
Central to AI research problem solving
AI needs to know objects, properties, categories and relations
Linking to it situations, events and states and time relations

Understanding well cause and effects
Good knowledge about knowledge counts
Problems of default reasoning and qualification proven
Breadth of common sense knowledge and symbolic form

Intelligent agents set goals and achievement plan
Modify plans according to changing worlds pattern
Multi agent planning for cooperation and competition
Evolve algorithms with emergent behavioure off swarm intelligence.

Theoretical computer science to learn theories
For machine to learn supervised or unsupervised clearly
Information retrieval and machine translation
Way to read and understand human ways of speech variation.

Robotics an area close to Artificial Intelligence
Robots handle tasks and do manipulation
Includes areas of navigation localization
Mapping effective planning of motion

Machine perception to use input from variety of sensors
Cameras , microphones, sensors else for Information capture
Computer vision to analyse visual Input
Space,facial or object recognition and analyse output.

Emotions as part of AI perception
Understanding emotion and motive detection
Ai to have computation creativity
And general intelligence to do human activity

K.S.V,seshadri