AI enables a machine to understand the information it collects through pattern recognition, such as finding patterns in social media posts on fraudulent behaviours for insurance claims. This is very similar to how humans interpret information by understanding the patterns presented and their contexts. Some of the technologies that are behind it are-- Natural Language Processing, or NLP. This allows computer programmes to understand spoken language. NLP currently works through a process called deep learning. In essence, language is broken down into shorter elemental pieces in order to teach the machine to understand their relationships and how they work together. Knowledge representation.
This is about representing information about the world in a form that a computer system can utilise to solve complex tasks such as diagnosing a medical condition or having a dialogue in a natural language. Speech recognition. This is the translation of speech into text or format that machines can read. For instance, think about automated phone systems that recognise your voice, process your request, and put you through to the correct department when you call a company. A couple of other examples of machines trying to comprehend are-- Facebook using natural language processing to look for patterns and user posts in order to understand how people feel about a certain brand or product. Chat bots like IP Soft Amelia or IBM Watson performing service desk roles such as handling customer complaints or solving customer help desk issues.
Knowledge Representation - Representing information about the world in a form that a computer system can use to solve a complex task.
Speech Recognition - The use of sound pattern recognition to understand if two voices are the same.
Pattern Recognition - Pattern recognition is the automated recognition of patterns or irregularities in data.
Chatbots - A computer program designed to simulate an intelligent conversation on a text or verbal basis.
This is about representing information about the world in a form that a computer system can utilise to solve complex tasks such as diagnosing a medical condition or having a dialogue in a natural language. Speech recognition. This is the translation of speech into text or format that machines can read. For instance, think about automated phone systems that recognise your voice, process your request, and put you through to the correct department when you call a company. A couple of other examples of machines trying to comprehend are-- Facebook using natural language processing to look for patterns and user posts in order to understand how people feel about a certain brand or product. Chat bots like IP Soft Amelia or IBM Watson performing service desk roles such as handling customer complaints or solving customer help desk issues.
Key Words:
Natural Processing Language (NLP) - The ability of computer solutions to understand and interpret human language naturally.Knowledge Representation - Representing information about the world in a form that a computer system can use to solve a complex task.
Speech Recognition - The use of sound pattern recognition to understand if two voices are the same.
Pattern Recognition - Pattern recognition is the automated recognition of patterns or irregularities in data.
Chatbots - A computer program designed to simulate an intelligent conversation on a text or verbal basis.
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