{"id":525,"date":"2024-04-27T13:05:36","date_gmt":"2024-04-27T11:05:36","guid":{"rendered":"http:\/\/horsemotion.be\/blog\/all-about-artificial-intelligence\/"},"modified":"2024-05-06T20:48:49","modified_gmt":"2024-05-06T18:48:49","slug":"all-about-artificial-intelligence","status":"publish","type":"page","link":"https:\/\/horsemotion.be\/en\/blog\/all-about-artificial-intelligence\/","title":{"rendered":"All about artificial intelligence"},"content":{"rendered":"

All about artificial intelligence<\/h1><\/div><\/div><\/div><\/div><\/div>

What exactly is AI?<\/h1><\/div>

Today, artificial intelligence is becoming more and more prevalent. But first you have to understand what it is. To keep it short and simple, an AI is a computer program capable of processing large amounts of data, reasoning or even discerning patterns that humans cannot detect.<\/p>\n<\/div><\/div><\/div>

An AI can be purely reactive; this is stage 1. In that case, it has no memory, no experience, it is simply able to perceive the world at a given moment.<\/p>\n

In stage 2, the AI will have a limited memory, i.e., retain information and know how to experience the past. In short, a Level 2 AI already does a lot of things.<\/p>\n

At NOVO SENSO<\/strong><\/a>, our mission is to develop AI that helps rather than replaces people who care for animals. To succeed in this mission, it is important to understand what artificial intelligence is.<\/p>\n<\/div><\/div><\/div>

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AI indeed has many facets, and image recognition, also known as \u201clabeling,\u201d is an important stage in the learning process of artificial intelligence.<\/p>\n<\/div>

So what does this image recognition consist of?<\/h2><\/div>

Labeling is a collection of image detection and analysis methods to automate a specific task. It is a computer vision technology capable of identifying places, people, objects and many other types of elements in an image and drawing conclusions by analyzing them.<\/p>\n<\/div><\/div><\/div>

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Photo or video recognition can be performed with varying degrees of accuracy, depending on the type of information or concept being sought. This is because a model or algorithm is able to detect a specific element, just as it can easily assign an image to a major category. To automate a specific task, the algorithm must be trained, and this is a huge task. However, building a labeled dataset for learning the algorithm is an essential step in these \u201ccomputer vision\u201d projects.<\/p>\n

If we take object detection algorithms, training the algorithm from scratch requires millions of images to achieve accurate results, but already trained algorithms can be tuned for a specific task using a relatively smaller set of images. This process of retraining and tuning an algorithm is called transfer learning.<\/p>\n<\/div><\/div><\/div>

But even with transfer learning, a significant amount of human labor is required to get them going. On average, it takes at least 1,500 and 2,000 labeled images to automate this particular task. A long and time-consuming mission, but nevertheless necessary for a well-functioning algorithm!<\/p>\n

Image recognition, however, is only one of the many tasks of artificial intelligence. This AI term is used to denote any time a computer performs a task that mimics human intelligence. We have seen the identification and location of an object in a video, but there are others, which are also possible:<\/p>\n

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  • Translating text or speech from a foreign language (natural language processing).<\/li>\n
  • Determining whether you are getting a healthy amount of sleep and exercise (activity recognition).<\/li>\n<\/ul>\n

    As you can see, the world of artificial intelligence is very large and varied, but we hope that with this article you have a little better understanding of what lies behind the term \u201cartificial intelligence.\u201d<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":524,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"100-width.php","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-525","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/horsemotion.be\/en\/wp-json\/wp\/v2\/pages\/525","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/horsemotion.be\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/horsemotion.be\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/horsemotion.be\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/horsemotion.be\/en\/wp-json\/wp\/v2\/comments?post=525"}],"version-history":[{"count":3,"href":"https:\/\/horsemotion.be\/en\/wp-json\/wp\/v2\/pages\/525\/revisions"}],"predecessor-version":[{"id":528,"href":"https:\/\/horsemotion.be\/en\/wp-json\/wp\/v2\/pages\/525\/revisions\/528"}],"up":[{"embeddable":true,"href":"https:\/\/horsemotion.be\/en\/wp-json\/wp\/v2\/pages\/524"}],"wp:attachment":[{"href":"https:\/\/horsemotion.be\/en\/wp-json\/wp\/v2\/media?parent=525"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}