AI To Z: All The Terms You Need To Know To Keep Up In The AI Hype Age - Credit: The Conversation

AI To Z: All The Terms You Need To Know To Keep Up In The AI Hype Age

Artificial Intelligence (AI) is a rapidly growing field of technology that has been gaining traction in recent years. It’s no surprise then, that with the rise of AI comes an influx of new terms and phrases to understand. From Machine Learning to Natural Language Processing, it can be hard to keep up with all the jargon. To help you stay ahead of the curve, here’s a comprehensive list of all the key terms you need to know when discussing AI:

Algorithm – A set of instructions or rules used by computers for problem-solving and decision making. Algorithms are used in many areas such as data mining, machine learning and natural language processing.

Big Data – Refers to large datasets which require specialised software tools for analysis and storage. Big data is often used in predictive analytics and machine learning applications where patterns are identified from vast amounts of information.

Chatbot – An automated computer program designed to simulate conversation with human users via text or audio messages on websites or apps. Chatbots use natural language processing (NLP) algorithms to interpret user input and respond accordingly.

Deep Learning – A subset of machine learning which uses artificial neural networks (ANNs) for pattern recognition tasks such as image classification or speech recognition. Deep learning models learn from experience by adjusting their parameters based on feedback from previous results until they reach an optimal solution for a given task at hand .

Machine Learning – The process whereby machines learn from data without being explicitly programmed how to do so; this includes supervised learning, unsupervised learning, reinforcement learning etc.. Machine Learning algorithms are widely used in various fields including finance, healthcare & robotics among others .

Natural Language Processing (NLP) – NLP is concerned with enabling computers/machines understand human languages like English & Spanish through analysing text & speech inputs using algorithms & techniques such as sentiment analysis , topic modelling etc.. This enables machines/computers interact more naturally with humans thus providing better customer service experiences .

Robotics – Robotics refers to the design , construction , operation & application of robots ; these robots may be autonomous or semi-autonomous depending on their level complexity . Robots have become increasingly popular due its ability automate tedious tasks while also reducing costs associated manual labour .

Voice Recognition – Voice recognition involves converting spoken words into digital signals which can then be interpreted by computers / machines ; this technology has become increasingly popular due its accuracy rate compared traditional methods like typing out commands manually . Voice recognition systems are now commonly found smartphones , home assistants devices etc..

These are just some examples but there are many other terms related Artificial Intelligence that one should familiarise themselves before diving deeper into this fascinating field! With advancements happening every day it’s important stay up date ensure you don’t get left behind! |AI To Z: All The Terms You Need To Know To Keep Up In The AI Hype Age|Technology|The Conversation

Original source article rewritten by our AI: The Conversation




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