{"id":5649,"date":"2018-10-09T06:00:55","date_gmt":"2018-10-09T13:00:55","guid":{"rendered":"https:\/\/athis-consulting.com\/news\/?p=5649"},"modified":"2018-10-11T07:42:04","modified_gmt":"2018-10-11T14:42:04","slug":"artificial-intelligence-part-1-couple-of-definitions","status":"publish","type":"post","link":"https:\/\/athis-technologies.com\/news\/innovation\/ai-big-data\/2018\/artificial-intelligence-part-1-couple-of-definitions\/","title":{"rendered":"Artificial Intelligence \u2013 Part 1: Couple of Definitions"},"content":{"rendered":"<p>We curated a lot about <a href=\"https:\/\/athis-consulting.com\/news\/category\/innovation\/ai-big-data\/\" target=\"_blank\" rel=\"noopener\">Artificial Intelligence (AI)<\/a> key market insights, new technology developments and the investment done in that area at AthisNews. This is the hot topic well-adopted by experts and still on his way by the society. After reading couple of studies this week, we decided to give you a deeper overview to get the basics and also deeper market insights regarding this field. \u201cArtificial Intelligence\u201d is a series of guides to understand what is this technology (part 1), when this technology meets real businesses and offers new ways to do jobs (part 2), what are the worldwide AI tech actors (Part 3) and what are the commercially available core technologies &amp; frameworks you can find in the market (Part 4).<\/p>\n<p><strong>What is Artificial Intelligence?<\/strong><\/p>\n<p>Let\u2019s start with some short <a href=\"https:\/\/athis-consulting.com\/news\/innovation\/ai-big-data\/2018\/whats-the-difference-between-ai-machine-learning-and-deep-learning\/\" target=\"_blank\" rel=\"noopener\">definitions<\/a> and historical stuff! Well, Artificial intelligence (AI) means getting a computer to mimic human behaviour in some way. The goal then, as now, was to get computers to perform tasks as human: things that required intelligence. Initially, researchers worked on solving logic problems like playing checkers. The computer is doing something intelligent, so it\u2019s exhibiting intelligence that is artificial.<\/p>\n<p>You said history? First of all, in 1950, the computer scientist Alan Turing proposed a <a href=\"https:\/\/www.cs.mcgill.ca\/~dprecup\/courses\/AI\/Materials\/turing1950.pdf\" target=\"_blank\" rel=\"noopener\">test<\/a> for machine intelligence. If a machine can trick humans into thinking it is human, so then it has intelligence.<\/p>\n<blockquote><p>&#8220;Every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it.&#8221;<br \/>\n&#8211; John McCarthy in august 31, 1955, <a href=\"http:\/\/www-formal.stanford.edu\/jmc\/history\/dartmouth\/dartmouth.html\" target=\"_blank\" rel=\"noopener\">at the proposal for the Dartmouth summer research project on artificial intelligence<\/a>.<\/p><\/blockquote>\n<figure id=\"attachment_5725\" aria-describedby=\"caption-attachment-5725\" style=\"width: 90px\" class=\"wp-caption alignleft\"><img loading=\"lazy\" decoding=\"async\" class=\"img-rounded wp-image-5725\" src=\"https:\/\/athis-consulting.com\/news\/wp-content\/uploads\/2018\/10\/john-mccarthy.png\" alt=\"JOHN MCCARTHY \" width=\"90\" height=\"84\" srcset=\"https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/john-mccarthy.png 542w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/john-mccarthy-300x280.png 300w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/john-mccarthy-450x420.png 450w\" sizes=\"(max-width: 90px) 100vw, 90px\" \/><figcaption id=\"caption-attachment-5725\" class=\"wp-caption-text\">John McCarthy<\/figcaption><\/figure>\n<p>John McCarthy who is the Computer scientist known as the \u201cfather of AI\u201d. Indeed, he played a significant role in defining the development of intelligent machines. The term \u201ccognitive scientist\u201d was originally coined in his <a href=\"http:\/\/www-formal.stanford.edu\/jmc\/history\/dartmouth\/dartmouth.html\" target=\"_blank\" rel=\"noopener\">1955 proposal for the 1956 Dartmouth Conference<\/a>, the first artificial intelligence conference. \u00a0They brought the preliminary blocks to define ways to build a machine that could reason like a human with abstract-thought, problem-solving and self-improvement capabilities. In 1958, he created the Lisp computer language, which became the standard AI programming language.<\/p>\n<figure id=\"attachment_5741\" aria-describedby=\"caption-attachment-5741\" style=\"width: 1020px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-5741 size-full\" src=\"https:\/\/athis-consulting.com\/news\/wp-content\/uploads\/2018\/10\/oracle-ai-1-e1539100991786.png\" alt=\"Artificial Intelligence Timeline Infographic \u2013 From Eliza to Tay and beyond (courtesy to syzygy).\" width=\"1020\" height=\"531\" srcset=\"https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/oracle-ai-1-e1539100991786.png 1020w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/oracle-ai-1-e1539100991786-300x156.png 300w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/oracle-ai-1-e1539100991786-768x400.png 768w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/oracle-ai-1-e1539100991786-696x362.png 696w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/oracle-ai-1-e1539100991786-807x420.png 807w\" sizes=\"(max-width: 1020px) 100vw, 1020px\" \/><figcaption id=\"caption-attachment-5741\" class=\"wp-caption-text\">Artificial Intelligence Timeline Infographic \u2013 From Eliza to Tay and beyond (courtesy to <a href=\"https:\/\/www.syzygy.net\/global\/en\" target=\"_blank\" rel=\"noopener\">syzygy<\/a>).<\/figcaption><\/figure>\n<p>There are many different techniques to solve problems,\u00a0 one category of techniques started becoming more widely used in the 1980s: machine learning.<\/p>\n<p><strong>You said machine learning? <\/strong><\/p>\n<p>Yes, this is a <a href=\"https:\/\/athis-consulting.com\/news\/innovation\/ai-big-data\/2018\/whats-the-difference-between-ai-machine-learning-and-deep-learning\/\" target=\"_blank\" rel=\"noopener\">subset<\/a> of AI, and it consists of the techniques that enable computers to figure things out from the data and deliver AI applications. Those statistical techniques give to the machine the ability to &#8220;learn&#8221; and get \u201cexperience\u201d. Learn you said? According to Christoph Bishop, this is more accurate to say that the machine progressively improves performance on a specific task from data, without being explicitly programmed. Indeed, as a human, the core objective of a learner is to <a href=\"http:\/\/users.isr.ist.utl.pt\/~wurmd\/Livros\/school\/Bishop%20-%20Pattern%20Recognition%20And%20Machine%20Learning%20-%20Springer%20%202006.pdf\" target=\"_blank\" rel=\"noopener\">generalize from its experience<\/a>. In this context, <a href=\"https:\/\/mitpress.mit.edu\/books\/foundations-machine-learning\" target=\"_blank\" rel=\"noopener\">generalization<\/a> is the ability of a learning machine to perform accurately on new, unseen examples\/tasks after having experienced a learning data set. There is plenty of algorithm approaches to reach this objective.<\/p>\n<blockquote><p>\u201cPattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years.\u201d<br \/>\n&#8211; According to Christopher Bishop, <a href=\"http:\/\/users.isr.ist.utl.pt\/~wurmd\/Livros\/school\/Bishop%20-%20Pattern%20Recognition%20And%20Machine%20Learning%20-%20Springer%20%202006.pdf\" target=\"_blank\" rel=\"noopener\">Technical Fellow and Laboratory Director<\/a>, Microsoft Research Cambridge.<\/p><\/blockquote>\n<figure style=\"width: 93px\" class=\"wp-caption alignleft\"><img loading=\"lazy\" decoding=\"async\" class=\"img-rounded\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/Headshot__0132_cropped_christopher-bishop.jpg\" alt=\"Image result for Christopher Bishop, Technical Fellow and Laboratory Director, Microsoft Research Cambridge\" width=\"93\" height=\"93\" \/><figcaption class=\"wp-caption-text\">Christopher Bishop<\/figcaption><\/figure>\n<p>About the history behind? <strong>\u00a0<\/strong>The name machine learning was coined in 1959 by Arthur Samuel. Machine learning explores the study and construction of algorithms that can learn from and make predictions on data \u2013 such algorithms overcome following strictly static program instructions by making data-driven predictions or decisions, through building a model from sample inputs.<\/p>\n<figure id=\"attachment_5680\" aria-describedby=\"caption-attachment-5680\" style=\"width: 1280px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-5680 size-full\" src=\"https:\/\/athis-consulting.com\/news\/wp-content\/uploads\/2018\/10\/oracle-ai-e1539090281827.jpg\" alt=\"Artificial Inteligence is no new, written by Peter Jeffcock,\u00a0 Big Data Product Marketing at Oracle, redesigned by AthisNews.\" width=\"1280\" height=\"515\" srcset=\"https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/oracle-ai-e1539090281827.jpg 1280w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/oracle-ai-e1539090281827-300x121.jpg 300w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/oracle-ai-e1539090281827-768x309.jpg 768w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/oracle-ai-e1539090281827-1024x412.jpg 1024w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/oracle-ai-e1539090281827-696x280.jpg 696w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/oracle-ai-e1539090281827-1068x430.jpg 1068w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/oracle-ai-e1539090281827-1044x420.jpg 1044w\" sizes=\"(max-width: 1280px) 100vw, 1280px\" \/><figcaption id=\"caption-attachment-5680\" class=\"wp-caption-text\">Artificial Inteligence is no new, written by<a href=\"https:\/\/athis-consulting.com\/news\/innovation\/ai-big-data\/2018\/whats-the-difference-between-ai-machine-learning-and-deep-learning\/\" target=\"_blank\" rel=\"noopener\">\u00a0Peter Jeffcock<\/a>,\u00a0 Big Data Product Marketing at Oracle, redesigned by AthisNews.<\/figcaption><\/figure>\n<p><strong>You said plenty of algorithm approaches to machine learning? <\/strong><\/p>\n<p>Yes, there are more than <a href=\"https:\/\/en.wikipedia.org\/wiki\/Outline_of_machine_learning#Machine_learning_methods\" target=\"_blank\" rel=\"noopener\">50 different types<\/a> of approaches to create learning for the computer. Those algorithms, meanwhile, are <a href=\"https:\/\/athis-consulting.com\/news\/innovation\/ai-big-data\/2018\/whats-the-difference-between-ai-machine-learning-and-deep-learning\/\" target=\"_blank\" rel=\"noopener\">subset<\/a> of machine learning that enables computers to solve more complex problems. <a href=\"https:\/\/becominghuman.ai\/artificial-neuron-networks-basics-introduction-to-neural-networks-3082f1dcca8c\" target=\"_blank\" rel=\"noopener\">Artificial Neuron Network<\/a>, Bayesian networks and Decision tree learning are the most popular ones.<\/p>\n<figure id=\"attachment_5670\" aria-describedby=\"caption-attachment-5670\" style=\"width: 973px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-5670\" src=\"https:\/\/athis-consulting.com\/news\/wp-content\/uploads\/2018\/10\/machine-learning-2-300x83.png\" alt=\"A simple ANN.\u00a0\" width=\"973\" height=\"269\" srcset=\"https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/machine-learning-2-300x83.png 300w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/machine-learning-2-768x213.png 768w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/machine-learning-2-1024x284.png 1024w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/machine-learning-2-696x193.png 696w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/machine-learning-2-1068x296.png 1068w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/machine-learning-2.png 1373w\" sizes=\"(max-width: 973px) 100vw, 973px\" \/><figcaption id=\"caption-attachment-5670\" class=\"wp-caption-text\">A simple <a href=\"https:\/\/multimedia.scmp.com\/news\/china\/article\/2166148\/china-2025-artificial-intelligence\/index.html\" target=\"_blank\" rel=\"noopener\">ANN<\/a>.<\/figcaption><\/figure>\n<p><a href=\"https:\/\/becominghuman.ai\/artificial-neuron-networks-basics-introduction-to-neural-networks-3082f1dcca8c\" target=\"_blank\" rel=\"noopener\">An Artificial Neuron Network (ANN)<\/a> &#8211; popularly known as Neural Network is a computational model based on the structure and functions of biological neural networks. It is like an artificial human nervous system for receiving, processing, and transmitting information in terms of Computer Science.<\/p>\n<figure id=\"attachment_5669\" aria-describedby=\"caption-attachment-5669\" style=\"width: 818px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-5669\" src=\"https:\/\/athis-consulting.com\/news\/wp-content\/uploads\/2018\/10\/machine-learning-1-300x187.png\" alt=\"A simple ANN. \" width=\"818\" height=\"510\" srcset=\"https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/machine-learning-1-300x187.png 300w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/machine-learning-1-768x479.png 768w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/machine-learning-1-696x434.png 696w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/machine-learning-1-674x420.png 674w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/machine-learning-1.png 963w\" sizes=\"(max-width: 818px) 100vw, 818px\" \/><figcaption id=\"caption-attachment-5669\" class=\"wp-caption-text\">A simple <a href=\"https:\/\/multimedia.scmp.com\/news\/china\/article\/2166148\/china-2025-artificial-intelligence\/index.html\" target=\"_blank\" rel=\"noopener\">ANN<\/a>.<\/figcaption><\/figure>\n<p><a href=\"https:\/\/heartbeat.fritz.ai\/introduction-to-decision-tree-learning-cd604f85e236\" target=\"_blank\" rel=\"noopener\">Decision tree learning<\/a> &#8211; Decision tree learning uses a decision tree as a predictive model, which maps observations about an item to conclusions about the item&#8217;s target value. What is a decision tree? I am pretty sure that you use that every day on your life! Let\u2019s forget the formal definition and think conceptually about Decision trees. Imagine you\u2019re sitting in your office and feeling hungry. You want to go out and eat, but lunch starts at 1 PM. What do you do? Of course, you look at the time and then decide if you can go out. You can think of your logic like this:<\/p>\n<figure id=\"attachment_5653\" aria-describedby=\"caption-attachment-5653\" style=\"width: 395px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-5653\" src=\"https:\/\/athis-consulting.com\/news\/wp-content\/uploads\/2018\/10\/treelearning-300x187.jpg\" alt=\"A decision tree - Ishan Sharma.\" width=\"395\" height=\"246\" srcset=\"https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/treelearning-300x187.jpg 300w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/treelearning.jpg 417w\" sizes=\"(max-width: 395px) 100vw, 395px\" \/><figcaption id=\"caption-attachment-5653\" class=\"wp-caption-text\">A decision tree &#8211; <a href=\"https:\/\/heartbeat.fritz.ai\/introduction-to-decision-tree-learning-cd604f85e236\" target=\"_blank\" rel=\"noopener\">Ishan Sharma<\/a>.<\/figcaption><\/figure>\n<p>This is a simple one, but we can build a complicated one by including more factors like weather, cost, etc\u2026<\/p>\n<p><a href=\"https:\/\/towardsdatascience.com\/introduction-to-bayesian-networks-81031eeed94e\" target=\"_blank\" rel=\"noopener\">Bayesian networks<\/a> are a type of probabilistic graphical model that uses Bayesian inference for probability computations. Bayesian networks aim to model conditional dependence, and therefore causation, by representing conditional dependence by edges in a directed graph. Through these relationships, one can efficiently conduct inference on the random variables in the graph through the use of factors.<\/p>\n<figure style=\"width: 464px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cdn-images-1.medium.com\/max\/800\/1*P9PzWUBv7RsNexqZWVXNcA.png\" alt=\"The Bayesian Network schematic - Devin Soni.\" width=\"464\" height=\"399\" \/><figcaption class=\"wp-caption-text\">The Bayesian Network schematic &#8211; <a href=\"https:\/\/towardsdatascience.com\/introduction-to-bayesian-networks-81031eeed94e\" target=\"_blank\" rel=\"noopener\">Devin Soni<\/a>.<\/figcaption><\/figure>\n<p><strong>What about <\/strong><strong><a href=\"https:\/\/resources.rvhub.org\/what-is-deep-learning-and-how-does-it-work\/\" target=\"_blank\" rel=\"noopener\">Deep learning<\/a>? Is that different from other approaches?<\/strong> Deep learning is all about using neural networks with more neurons, layers, and inter-connectivity. This type of machine learning is capable of adapting itself to new data and training its systems to learn on their own and recognize patterns. We\u2019re still a long way off from mimicking the human brain in all its complexity, but we\u2019re moving in that direction. It started to be used mostly in hardware and in the development of GPUs for personal use in the last few years which have contributed to the development of the concept of deep learning.<\/p>\n<figure id=\"attachment_5673\" aria-describedby=\"caption-attachment-5673\" style=\"width: 730px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-5673\" src=\"https:\/\/athis-consulting.com\/news\/wp-content\/uploads\/2018\/10\/machine-learning-3-300x145.png\" alt=\"Deep learning NN.\" width=\"730\" height=\"353\" srcset=\"https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/machine-learning-3-300x145.png 300w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/machine-learning-3-768x370.png 768w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/machine-learning-3-1024x494.png 1024w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/machine-learning-3-696x336.png 696w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/machine-learning-3-1068x515.png 1068w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/machine-learning-3-871x420.png 871w, https:\/\/athis-technologies.com\/news\/wp-content\/uploads\/2018\/10\/machine-learning-3.png 1078w\" sizes=\"(max-width: 730px) 100vw, 730px\" \/><figcaption id=\"caption-attachment-5673\" class=\"wp-caption-text\">Deep learning <a href=\"https:\/\/multimedia.scmp.com\/news\/china\/article\/2166148\/china-2025-artificial-intelligence\/index.html\" target=\"_blank\" rel=\"noopener\">NN<\/a>.<\/figcaption><\/figure>\n<p>This approach tries to model the way the human brain processes light and sound into vision and hearing. Some successful applications of deep learning are computer vision and speech recognition. And when you read about advances in computing from <a href=\"https:\/\/athis-consulting.com\/news\/innovation\/automotive\/2018\/how-vehicle-to-vehicle-communication-could-replace-traffic-lights-and-shorten-commutes-2\/\" target=\"_blank\" rel=\"noopener\">autonomous cars<\/a> to Go-playing <a href=\"https:\/\/athis-consulting.com\/news\/innovation\/ai-big-data\/2018\/a-new-brain-inspired-architecture-could-improve-how-computers-handle-data-and-advance-ai\/\" target=\"_blank\" rel=\"noopener\">supercomputers<\/a> to <a href=\"https:\/\/athis-consulting.com\/news\/innovation\/ai-big-data\/2018\/machine-learning-system-tackles-speech-and-object-recognition-all-at-once\/\" target=\"_blank\" rel=\"noopener\">speech recognition<\/a>, that\u2019s deep learning under the covers. You experience some form of artificial intelligence. Behind the scenes, that AI is powered by some form of <a href=\"https:\/\/athis-consulting.com\/news\/market\/2018\/how-ai-can-to-help-traders-make-better-decisions\/\" target=\"_blank\" rel=\"noopener\">deep learning<\/a>.<\/p>\n<p>Let\u2019s look at a couple of problems to see how deep learning is different from simpler neural networks or other forms of machine learning\u2026 If I give you images of horses, you recognise them as horses, even if you\u2019ve never seen that image before. And it doesn\u2019t matter if the horse is lying on a sofa, or dressed up for Halloween as a hippo. You can recognise a horse because you know about the various elements that define a horse: shape of its muzzle, number and placement of legs, and so on.<\/p>\n<p>Deep learning can do this. And it\u2019s important for many things including autonomous vehicles. Before a car can determine its next action, it needs to know what\u2019s around it. It must be able to recognise people, bikes, other vehicles, road signs, and more. And do so in challenging visual circumstances. Standard machine learning techniques can\u2019t do that.<\/p>\n<p>Stay tuned, \u201cArtificial Intelligence\u201d is a series of guides to understand what is this technology. Let wait for the chapter 2 &#8220;when this technology meets real businesses and offers new ways to do jobs&#8221;.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence (AI) means getting a computer to mimic human behaviour in some way&#8230;<\/p>\n","protected":false},"author":3,"featured_media":5707,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"amp_status":"","_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false}}},"categories":[208],"tags":[127,140,418,420,419],"jetpack_publicize_connections":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.8 - 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