The Core Components Of An AI System

The ability of artificial intelligence to mimic natural intelligence, or the cognitive functions that are associated with human minds, sets it apart from other computing systems or similar machines.  This function requires the following core components before it can be considered “artificial intelligence” :

Machine learning

Probably the capability that best characterizes AI, machine learning is defined as the ability of an automated system to solve problems, adapt to new circumstances, and to detect and analyze novel patterns, without having to be programmed to do so.

Image source: infoworld.com

Natural language processing

An AI should have the ability to understand and communicate with people or other machines.  It then has the ability to learn how to process human language, which includes recognition and generation of such language.  It is not enough for the system to understand and act on pre-programmed commands, an AI’s natural language processing needs to evolve, much like that of a human’s.

Knowledge representation and reasoning

Humans create a “mental map” of what they perceive in the real world and the context behind them.  AI systems must also consist of knowledge representation and reasoning capabilities so that they can make sense of complex information, including queries or observations, infer new facts, and store these in their knowledge base.

Image source: techhive.com

AI is at the core of Welwaze Medical, Inc.’s development. The company develops external sensors that would allow users to monitor their health, for which they have raised approximately $11 million in funding. Alex J. Ness serves as the firm’s Executive Chairman. Read more about AI technology by subscribing to this blog.