article

artificial intelligence - primer

[WHAT]

1. ] by Don Sagrott, founder @ sospep.com -  As AI becomes "the next big thing" in mainstream technology, what exactly is AI, what does it do (currently=, next=) and what do what do you need to do in order to start learning/implementing/using AI in your applications   
2. ] primer on artificial intelligence, what it is, what it does, where it's used today, where its going tommorow, how to -use it, -invest in it, -develop for it
3. ] a plain english guide to what AI is, what it does, where to find it today, where you will find it tommorow, how to build it, -

[WHY]

1. ] an explainer for ai, from the perspective of  ... ] newbie noob, ] layman, ] tech user, ] tech developer, ] tech investor
2. ] "i (maybe) want to start learning about this, 
3. ] what exactly is AI - hearing may different terms - machine learning, deep learning, neural networks, ...
4. ] where is AI being used currently -
5. ] where will AI be used next - 
6. ] where would you use AI -  
7. ] how do you go about implementing AI, learning AI, ...
8. +] just as industrial revolution freed us up from physical drudgery, ai has the potential to free humanity from mental drudgery

[WHERE]

1. ] artificial intelligence (AI) - 
1. ] DEF - study and design of intelligence agents, where an intelligence agent is a system that percieves it environment and takes actions that maximizes its chances of success /russell/norvig - course ai-mooc-cuny, lesson-1 notes
2. (don) computer application that modifies/improves itself based upon new , 
3. (don) app that makes decisions, that are not programmed at the outset, 
2. ] machine learning - 
1. ] DEF - branch/component of AI, based on data, 
2. ] It’s the ability for an algorithm to learn from prior data in order to produce a behavior. ML is teaching machines to make decisions in situations they have never seen. SRC = REF# 2
3. ] deep learning - 
1. ] DEF - branch of AI/machine-learning, utilizes 'neural networks', 
2. ] a branch of machine learning where artificial neural networks — algorithms inspired by the way neurons work in the brain — find patterns in raw data by combining multiple layers of artificial neurons. As the layers increase, so does the neural network’s ability to learn increasingly abstract concepts. SRC = REF# 2
4. ] neural networks - 
1. ] DEF - compoent of AI/machine-learning/deep-learning, based on how the human brain works, using neurons 
5. ] Natural Language Processing(NLP) / Natural Language Understanding(NLU)
1. ] AI must communicate with humans as well as humans communicate with each other. SRC = REF# 2
2. *] huge challenge, human communication is not straightforward, depends on context, 
6. ] context
1. ] AI can only be as smart as the information it is given access to , SRC=REF# 2
7. ] maths (logic)-
1. ] DEF 
8. ] economics
1. ] 

[WHEN]

1. ] 2016-12-13

[EXAMPLE]

1. ] LIST-artificial-intelligence-systems - a quick listing of some of the more common usage/applications of artificial intelligence systems in use today.

[HOW-TO]

1. ]

[REFERENCE]

1. x] # 6649 - CREATE-article# 5465 (this) - artificial intelligence primer 
2. ] + # # - AI:primer 

[RELATED]

 

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ID: 5465

NAME: artificial-intelligence

DESCRIPTION: artificial intelligence (AI) ] by Don Sagrott, founder@sospep.com - As AI becomes "the next big thing" in mainstream technology, what exactly is AI, what does it do? (current=,next=) and what do you need to do in order to start learning / using / ...

AUTHOR: article.author/s

EDITOR: article.editor/s

PUBLISHER: article.publisher/s

STATUS: Write

PRIORITY: -5

OWNER ID: 75

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