{"id":33397,"date":"2023-07-13T02:59:28","date_gmt":"2023-07-13T02:59:28","guid":{"rendered":"http:\/\/www.beyondboundariesnicolelis.net\/wordpress\/?p=33397"},"modified":"2023-08-27T08:06:40","modified_gmt":"2023-08-27T08:06:40","slug":"what-is-artificial-intelligence-ai","status":"publish","type":"post","link":"http:\/\/www.beyondboundariesnicolelis.net\/wordpress\/2023\/07\/what-is-artificial-intelligence-ai\/","title":{"rendered":"What Is Artificial Intelligence AI?"},"content":{"rendered":"<p>AI tools like chatbots that pop up on websites when you visit a company\u2019s home page, are an example of how AI is used by businesses to support consumers. These chat bots can help consumers by answering questions and providing recommendations. As more and more car manufacturers continue to invest in autonomous vehicles, the market penetration of driverless cars is expected to rise considerably. According to Statista\u2019s Dec 2021 projections, the global autonomous vehicle market is estimated to be valued at around $146.4 billion in 2022, a substantial rise from $105.7 billion in 2021.<\/p>\n<div style='text-align:center'><iframe width='564' height='312' src='https:\/\/www.youtube.com\/embed\/kUOfNQS82Js' frameborder='0' alt='artificial intelligence definition' allowfullscreen><\/iframe><\/div>\n<p>There are personal digital assistants that can ascertain a person\u2019s preferences and respond to email requests for personal appointments in a dynamic manner. Without any human intervention, a digital assistant can make appointments, adjust schedules, and communicate those preferences to other individuals. Building adaptable systems that learn as they go has the potential of improving effectiveness and efficiency. These kinds of algorithms can handle complex tasks and make judgments that replicate or exceed what a human could do.<\/p>\n<h2>Deep Learning<\/h2>\n<p>AI is used to make predictions in terms of weather and financial forecasting, to streamline production processes, and to cut down on various forms of redundant cognitive labor (e.g., tax accounting or editing). AI is also used to play games, operate autonomous vehicles, process language, and more. When most people hear the term artificial intelligence, the first thing they usually think of is robots. That&#8217;s because big-budget films and novels weave stories about human-like machines that wreak havoc on Earth.<\/p>\n<ul>\n<li>We want America to maintain our scientific and technological edge, because it\u2019s critical to us thriving in the 21st century economy.<\/li>\n<li>AI truly has the potential to transform many industries, with a wide range of possible use cases.<\/li>\n<li>A reactive player bases all decisions on the current hand in play, while a limited memory player will consider their own and other player\u2019s past decisions.<\/li>\n<li>AI requires a foundation of specialized hardware and software for writing and training machine learning algorithms.<\/li>\n<li>The\u00a0Global Engagement Center\u00a0has developed a dedicated effort for the U.S.<\/li>\n<\/ul>\n<p>According to a September 2021 survey by Gartner, organizations investing in AI are expected to make the highest planned investments in computer vision projects in 2022. Moreover, complex algorithms require supercomputers to work at total  capacity to manage challenging levels of computing. Today, only a few supercomputers are available globally but seem expensive at the outset.<\/p>\n<h2>Cultural definitions for artificial intelligence<\/h2>\n<p>A 51% attack arises within the field of blockchain technology and, at its core, involves&#8230; A Theory of Mind player factors in other player\u2019s behavioral cues and finally, a self-aware professional AI player stops to consider if playing poker to make a living is really the best use of their time and effort. While AI is certainly viewed as an important and quickly evolving asset, this emerging field comes with its share of downsides. The global market for AI in media and entertainment is estimated to reach $99.48 billion by 2030, growing from a value of $10.87 billion in 2021, according to Grand View Research. That expansion includes AI uses like recognizing plagiarism and developing high-definition graphics.<\/p>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"307px\" alt=\"artificial intelligence definition\"\/><\/p>\n<p>The first artificial intelligence is thought to be a checkers-playing computer built by Oxford University (UK) computer scientists in 1951. Artificial intelligence also has applications in the financial industry, where it is used to detect <a href=\"https:\/\/deveducation.com\/en\/blog\/services-based-on-artificial-intelligence\/\">services based on artificial intelligence<\/a> and flag activity in banking and finance such as unusual debit card usage and large account deposits\u2014all of which help a bank&#8217;s fraud department. Applications for AI are also being used to help streamline and make trading easier.<\/p>\n<p>Generative AI refers to deep-learning models that can take raw data \u2014 say, all of Wikipedia or the collected works of Rembrandt \u2014 and \u201clearn\u201d to generate statistically probable outputs when prompted. At a high level, generative models encode a simplified<br \/>\nrepresentation of their training data and draw from it to create a new work that\u2019s similar,<br \/>\nbut not identical, to the original data. However, decades before this definition, the birth of the artificial intelligence conversation was denoted by Alan Turing&#8217;s seminal work, &#8220;Computing Machinery and Intelligence&#8221; (PDF, 92 KB) (link resides outside of IBM), which was published in 1950. While this test has undergone much scrutiny since its publish, it remains an important part of the history of AI as well as an ongoing concept within philosophy as it utilizes ideas around linguistics. Humans are still doing much of the work with lab testing and the computer is simply using machine learning to help them prioritize which experiments to do and which interactions to look at.<\/p>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"306px\" alt=\"artificial intelligence definition\"\/><\/p>\n<p>Machine learning, as its name implies, is the idea of software learning from data, as opposed to software just following rules written by humans. While the term &#8220;artificial intelligence&#8221; (AI) has entered the common language and become trivial in the media, there is no really shared definition. These examples are programmatically compiled from various online sources to illustrate current usage of the word &#8216;artificial intelligence.&#8217; Any opinions expressed in the examples do not represent  those of Merriam-Webster or its editors. In the race for AI supremacy, organizations and businesses are set to embrace computer vision technology at an unprecedented scale in 2022.<\/p>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width=\"304px\" alt=\"artificial intelligence definition\"\/><\/p>\n<p>Add artificial intelligence to one of your lists below, or create a new one. AI is very good at identifying small anomalies in scans and can better triangulate diagnoses from a patient&#8217;s symptoms and vitals. AI is also used to classify patients, maintain and track medical records, and deal with health insurance claims. Future innovations are thought to include AI-assisted robotic surgery, virtual nurses or doctors, and collaborative clinical judgment.<\/p>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"303px\" alt=\"artificial intelligence definition\"\/><\/p>\n<p>The rational agent approach tries to make the best possible choice in the current circumstances. It means that it\u2019s a much more dynamic and adaptable agent.Now that we understand how Artificial Intelligence can be designed to act like a human, let\u2019s take a look at how these systems are built. In the education space, AI can be used to provide personalized teachings based on each child\u2019s needs and also allow greater access to education.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI tools like chatbots that pop up on websites when you visit a company\u2019s home page, are an example of how AI is used by businesses to support consumers. These chat bots can help consumers by answering questions and providing recommendations. As more and more car manufacturers continue to invest in autonomous vehicles, the market &hellip;  <a class=\"continue_reading\" href=\"http:\/\/www.beyondboundariesnicolelis.net\/wordpress\/2023\/07\/what-is-artificial-intelligence-ai\/\">Continue reading &raquo;<\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1000],"tags":[],"_links":{"self":[{"href":"http:\/\/www.beyondboundariesnicolelis.net\/wordpress\/wp-json\/wp\/v2\/posts\/33397"}],"collection":[{"href":"http:\/\/www.beyondboundariesnicolelis.net\/wordpress\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.beyondboundariesnicolelis.net\/wordpress\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.beyondboundariesnicolelis.net\/wordpress\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"http:\/\/www.beyondboundariesnicolelis.net\/wordpress\/wp-json\/wp\/v2\/comments?post=33397"}],"version-history":[{"count":1,"href":"http:\/\/www.beyondboundariesnicolelis.net\/wordpress\/wp-json\/wp\/v2\/posts\/33397\/revisions"}],"predecessor-version":[{"id":33398,"href":"http:\/\/www.beyondboundariesnicolelis.net\/wordpress\/wp-json\/wp\/v2\/posts\/33397\/revisions\/33398"}],"wp:attachment":[{"href":"http:\/\/www.beyondboundariesnicolelis.net\/wordpress\/wp-json\/wp\/v2\/media?parent=33397"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.beyondboundariesnicolelis.net\/wordpress\/wp-json\/wp\/v2\/categories?post=33397"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.beyondboundariesnicolelis.net\/wordpress\/wp-json\/wp\/v2\/tags?post=33397"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}