{"id":696,"date":"2022-02-11T17:39:23","date_gmt":"2022-02-11T17:39:23","guid":{"rendered":"http:\/\/databionics-institute.org\/?page_id=696"},"modified":"2022-02-11T17:53:42","modified_gmt":"2022-02-11T17:53:42","slug":"web-seminars","status":"publish","type":"page","link":"https:\/\/databionics-institute.org\/index.php\/web-seminars","title":{"rendered":"Web Seminars"},"content":{"rendered":"\t\t
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An Introduction Into Modern Artifical Intelligence<\/strong><\/span><\/p><\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Description<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Successful artificial intelligence ( AI ) projects are constantly being advertised and there are many companies offering AI technologies and services. These technologies are supposed to help to open up new business areas or to achieve cost reductions. However, the offers regularly hide the weighty difference between artificial ability and artificial intelligence. In addition, high expectations or false objectives often lead to lucrative opportunities remaining untapped.<\/p>\n

The lecture will illustrate the prerequisites for the exploitation of artificial intelligence based on data as well as its limitations. Knowledge of a specific programming language is not required. Of course, questions and comments can be asked during and after the lecture via the chat function.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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What is the difference between artificial ability and AI?<\/p>\n

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  • AI: Explanation of terms and connections to Data Science and Knowledge Discovery.<\/span><\/li>\n
  • Examples are used to illustrate how AI approaches work and what they are used for if they are limited to artificial skills.<\/li>\n
  • On the basis of a concrete prototype, it is made clear when the use of true artificial intelligence becomes necessary.<\/li>\n
  • Which algorithms are transferable to the industrial environment?<\/li>\n
  • Discussion<\/li>\n<\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    Price<\/b>: free<\/p>\n

    Date<\/b>: 25.10.2021<\/p>\n

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    Duration<\/b>: 1 hour + QA<\/p>\n

    Speaker<\/b>: Prof. Dr. Alfred Ultsch<\/p>\n

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    Target Audience<\/b>: All people with interesting AI projects\u00a0<\/span><\/p>\n

    Platform<\/b>: Zoom<\/p>\n

    Language<\/b>: German<\/p>\n

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    Registration<\/b>: To register for this free event, please use the form below. After registration we will contact you with details by Email.<\/p>\n

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    Knowledge Discovery: A vocational training in 5 days<\/strong><\/span><\/p><\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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    The Knowledge Discovery course is the practical application of Data Science to extract useful and usable, and most importantly, understandable knowledge from a collection of data.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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    Day 1: Data Science in practice<\/span><\/h4>\n