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      <title> Module 3A.1.2 Applications of machine learning  by RMIT STEM</title>
      <link>https://padlet.com/STEMLearningDesignDevelopment/r2rmq12s6l3widcr</link>
      <description>Do your own research and find an example of machine learning being used in a real-world application.</description>
      <language>en-us</language>
      <pubDate>2021-07-07 03:45:24 UTC</pubDate>
      <lastBuildDate>2025-04-24 08:00:58 UTC</lastBuildDate>
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         <title>NVIDIA OptiX AI-Denoiser</title>
         <author></author>
         <link>https://padlet.com/STEMLearningDesignDevelopment/r2rmq12s6l3widcr/wish/1689847583</link>
         <description><![CDATA[<div>This Technology fits into a wide variety of industry uses. 3D software is used by Engineers, Artists, Movie producers, Hobbyists, and many more and can be used for rapid prototyping, quick visualisation aswell as final product developtment.<br><br>This machine learning de-noiser allows the noise generated when rendering an image to be greatly reduced by learning from the millions of previous renders aswell as the cloud library it uses to learn de-noising. Machine learning was the correct option to use for a program such as this as due to its extremely large requirement and desired flexability writing rules for such a program (although done before) results in a slow, buggy and non-optimal program.<br><br>The inputs to the model is the entire rendered scene, however the de-noiser picks out the black specs that are seens as "noise" and then the surrounding pixels are analysed aswell as the overall light direction and the noise is removed via machine learning</div>]]></description>
         <enclosure url="https://www.youtube.com/watch?v=l-5NVNgT70U" />
         <pubDate>2021-08-23 00:18:19 UTC</pubDate>
         <guid>https://padlet.com/STEMLearningDesignDevelopment/r2rmq12s6l3widcr/wish/1689847583</guid>
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         <title>Music Recognition</title>
         <author></author>
         <link>https://padlet.com/STEMLearningDesignDevelopment/r2rmq12s6l3widcr/wish/1691523337</link>
         <description><![CDATA[<div>https://youtu.be/kMNSAhsyiDg</div>]]></description>
         <enclosure url="https://youtu.be/kMNSAhsyiDg" />
         <pubDate>2021-08-23 16:54:56 UTC</pubDate>
         <guid>https://padlet.com/STEMLearningDesignDevelopment/r2rmq12s6l3widcr/wish/1691523337</guid>
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         <title>AI applications for Vertical Farming</title>
         <author></author>
         <link>https://padlet.com/STEMLearningDesignDevelopment/r2rmq12s6l3widcr/wish/1695869072</link>
         <description><![CDATA[<div>I think that machine learning is used for vertical farming because it is easier to collect samples, since there is no need to travel great distances to sample a crop.<br><br>The flavour of a vegetable is much more complex than what a human can explain, so I would guess that it takes into account much more scientifically focussed information. This may be colour profiles, light exposure, gaseous byproducts, mineral/vitamin content and texture could possibly determined via a type of image recognition.</div>]]></description>
         <enclosure url="https://www.forbes.com/sites/jenniferhicks/2021/07/20/ai-is-learning-to-understand-how-vegetables-taste/" />
         <pubDate>2021-08-25 11:52:45 UTC</pubDate>
         <guid>https://padlet.com/STEMLearningDesignDevelopment/r2rmq12s6l3widcr/wish/1695869072</guid>
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