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    <title>The Patents Behind AI &amp; Machine Learning — Patents | PatentBrief</title>
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    <description>Plain-English explanations of patents in The Patents Behind AI &amp; Machine Learning, newest first.</description>
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      <title>How AI Learns to Write Better Sentences Using Feedback</title>
      <link>https://patentbrief.org/patent/us/11727263/method-of-updating-sentence-generation-model-and-sentence-generating-apparatus</link>
      <description>Samsung&apos;s 2023 patent on training AI to generate better sentences by using a second AI model to provide feedback on the first AI&apos;s output.</description>
      <pubDate>Tue, 15 Aug 2023 00:00:00 GMT</pubDate>
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      <title>How AI Models Can Explain Their Decisions with Simple Rules</title>
      <link>https://patentbrief.org/patent/us/10824959/explainers-for-machine-learning-classifiers</link>
      <description>This patent describes a system for generating easy-to-understand rules that explain why a machine learning model made a specific prediction, like approving a loan or flagging fraud.</description>
      <pubDate>Tue, 03 Nov 2020 00:00:00 GMT</pubDate>
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      <title>AI System Learns Avatar Actions from Game Objects</title>
      <link>https://patentbrief.org/patent/us/10607134/artificially-intelligent-systems-devices-and-methods-for-learning-andor-using-an-avatars-circumstances-for-autonomous-avatar-operation</link>
      <description>This patent describes an AI system that learns how to control an in-game character (avatar) by matching what it sees in the game to past actions and their outcomes.</description>
      <pubDate>Tue, 31 Mar 2020 00:00:00 GMT</pubDate>
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      <title>Using a Camera to Monitor and Control Neural Networks</title>
      <link>https://patentbrief.org/patent/us/10423875/electro-optical-device-and-method-for-identifying-and-inducing-topological-states-formed-among-interconnecting-neural-modules</link>
      <description>A system that uses a physical camera to watch color-coded neural network states on a screen, detecting new patterns to adjust the network&apos;s learning by injecting noise.</description>
      <pubDate>Tue, 24 Sep 2019 00:00:00 GMT</pubDate>
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      <title>How AI Learns and Shares Skills Like a Brain</title>
      <link>https://patentbrief.org/patent/us/10410117/method-and-a-system-for-creating-dynamic-neural-function-libraries</link>
      <description>This patent describes a method for creating a reusable library of &apos;skills&apos; or functions that an artificial intelligence device learns autonomously, allowing other AI devices to reuse these learned functions.</description>
      <pubDate>Tue, 10 Sep 2019 00:00:00 GMT</pubDate>
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      <title>How a Computer Learns to Pick the Best Action</title>
      <link>https://patentbrief.org/patent/us/10282665/action-selection-with-a-reward-estimator-applied-to-machine-learning</link>
      <description>This patent describes a computer system that learns from past experiences to predict which action will lead to the best outcome in a given situation, then chooses that action.</description>
      <pubDate>Tue, 07 May 2019 00:00:00 GMT</pubDate>
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      <title>How an Early Neural Network Learned Faster with a Special Variable</title>
      <link>https://patentbrief.org/patent/us/4914603/training-neural-networks</link>
      <description>This 1988 patent describes a method for an artificial neural network to learn faster by using a special &quot;activating variable&quot; that helps adjust its internal settings more quickly during training.</description>
      <pubDate>Tue, 03 Apr 1990 00:00:00 GMT</pubDate>
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      <title>Hopfield Network for Solving Problems and Storing Memories</title>
      <link>https://patentbrief.org/patent/us/4660166/electronic-network-for-collective-decision-based-on-large-number-of-connections-between-signals</link>
      <description>Caltech&apos;s 1987 patent on a network of amplifiers and resistors that can solve complex problems or recall stored memories by settling into a stable state.</description>
      <pubDate>Tue, 21 Apr 1987 00:00:00 GMT</pubDate>
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