ARTIFICIAL INTELLIGENCE
Artificial intelligence is a technological term which deals with machines demonstrating intelligence like humans. Artificial intelligence makes it possible for machine to learn from experience, adjust to new inputs and perform human-like tasks. Most common day-to-day examples of AI is voice assistants ( Siri , Alexa ). self-driving cars, text and other predictions,small email filtering,etc. Most of the applications of AI are based on the principles of other technologies such as Machine learning ,deep learning, natural language processing ,Big Data etc. Though AI helps machines to think and act in an outperformed way than humans, machines always need humans to train them.
In other words Artificial intelligence(AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react that work and react like humans.Some of activities computers with artificial intelligence are designed which include:
- Speech recoginiation
- Learning
- Planning
- Problem solving
Artificial intelligence is a branch of computer science that aims to create intelligent machines.It has become an essential part of the technology industry.
Research associated with artificial intelligence is highly technical and specialized. The core problems of artificial intelligence include programming computers for certain traits such as:
- Knowledge
- Reasoning
- Perception
- Ability to maintain and move objects
Knowledge engineering is a core part of AI research. Machine can often act and react like humans only if they have abundant information relating to the world. Artificial intelligence must have access to objects, categories, properties and relations 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 core part of AI. Learning without any kind of supervision requires an ability to identity patterns in streams of inputs, whereas learning with adequate supervision involves classification and numerical regressions. Classifications 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 a logarithms and their performance is a well- defined branch of theoratical 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 analysis visual inputs to deduce the different aspects of the world, while computer vision is the power to analyse visual inputs with a few sub-problems such as facial, objects and gesture recoginiation.
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.
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