Artificial Intelligence is a branch of computer science that aims create intelligent machines. It has become an essential part of technology industry. Research associated with artificial intelligence is highly technical and specialized. The core problems of artificial intelligence include programming computers for certain straits such as: knowledge, reasoning, problem solving, perception, learning, planning, ability to manipulate and move objects. Knowledge engineering is a core part of AI research. Machines can often act and react as human only if they have have abundant information relating to the world. AI must have access to objects, categories, properties and relation between all of them to implement knowledge engineering. Initiating common sense, reasoning and problem solving power in machines is a difficult and tedious approach. Machine learning is another part of AI. Learning without any kind of supervision requires an ability to identify patterns in stream of inputs, whereas learning with adequate supervision involves classification and numerical regressions. Classification determines the category an object belongs to and regression deals with obtaining a set of numerical input or output examples, thereby discovering functions enabling the generation of suitable outputs from respective inputs. Mathematical analysis of machine learning algorithms and their performance is a well-defined branch of theoretical computer science often referred to as computational learning theory. Machines perception deals with the capability to use sensory inputs to deduce the different aspects of the world, while computer vision inputs with a few sub-problems such as facial, object and gesture recognition. Robotics is also a major field related to AI. Robots require intelligence to handle tasks such as object manipulation and navigation, along with sub-problems on localization, motion planning and mapping.