What are the major components of Artificial Intelligence?
Artificial Intelligence aka AI has become such an interesting topic for the IT experts and data engineers that almost everyone is talking about it and the ones still not talking about it, will do so in no time. Although AI as technology is essentially in its Narrow stage which is the first stage and even then, it is making itself heard in all corridors of industrial and technological domains.
The natural question arises- what is it made of? What should it consist?
Since we are talking about synthetically achieved intelligence to replicate human behavior and capabilities and make the machines operate as if operated using human intelligence thus making machines more ‘human like’, it becomes imperative that the AI (Artificial Intelligence) should have the following:
Since we are talking about synthetically achieved intelligence to replicate human behavior and capabilities and make the machines operate as if operated using human intelligence thus making machines more ‘human like’, it becomes imperative that the AI (Artificial Intelligence) should have the following:
Cognitive Abilities – If we want the machine to interact like humans, it will have to think and work like humans.
•The computer-generated intelligent machine will need to have Natural Language Processing (NLP) for successful interactions.
•Automated Reasoning for analysing the database stored in the system.
•Machine Learning (ML)- the machine will be fed in current inputs and after training sessions, the machine will be able to speak learned language owing to the pre-fed data to respond more accurately and less like a bot.
•Rationality and introspection come with more training.
•Automated Reasoning for analysing the database stored in the system.
•Machine Learning (ML)- the machine will be fed in current inputs and after training sessions, the machine will be able to speak learned language owing to the pre-fed data to respond more accurately and less like a bot.
•Rationality and introspection come with more training.
Database – The machines can be made more intelligent and introspective rationals only by incorporating and supported them with database, information and feed them in the form of rules to process information and be helpful in finding solutions for humans.
Hardware – Graphic Processing Units aka GPUs are an important part of AI hardware to extend from one approach to a physical entity using the technology.
Framework – For better Machine Learning processing a sound framework is required. The most commonly used are Python, R and Azure Machine Learning Studio.
APIs are required to publish AI services. Text classification, image classification, sentiment analysis, etc can be achieved using APIs.
AI Applications are what we see at customer end like Siri and Alexa.
While there is a lot that facilitates AI in creating an interesting and successful outcome, the above mentioned are the prerequisites as AI components. At Sphinx Worldbiz, the AI experts are dedicatedly using thre best of class infrastructure towards successful AI results in bringing the technology more close to its end users
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