Research associated with AI is highly technical and specialized. The core component of AI includes programming computers for certain traits such as:

• Knowledge

• Reasoning

• Problem solving

• Perception

• Learning

• Planning

• Ability to manipulate and move objects etc.

Knowledge engineering is a core part of AI research. Machines can often learn, act and react like humans only if they have abundant information relating to the applied world. Therefore, AI must have access to objects, categories, properties and relations between all of them as inputs to implement knowledge engineering. It may also be noted that initiating common sense, reasoning and problem-solving power in machines is a difficult and tedious task.

Learning without any kind of supervision requires an ability to identify patterns in streams 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.

Machine perception deals with the capability to use sensory inputs to deduce the different aspects of the world, while computer vision is the power to analyze visual inputs with a few sub-problems such as facial, object and gesture recognition. Multi-sensor data fusion particularly for biometrics is another dimension requiring handling and usage of large chunk of data.

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 of localization, motion planning and mapping.

CoE in AI at NSUT will offer the University an advanced computing platform wherein lots of time of the researchers can be saved as the research ideas can be implemented quickly