Uni Göttingen<p>Are robots fit for the future of recycling?</p><p>It turns out recycling a range of textiles, cables, and many other fiddly materials is tough for automated machines. To develop solutions, an international research team including our Uni have been awarded funding for their <a href="https://academiccloud.social/tags/FlexCycle" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FlexCycle</span></a> project as part of the EU’s <a href="https://academiccloud.social/tags/GreenDeal" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GreenDeal</span></a> programme: <a href="https://www.uni-goettingen.de/en/3240.html?id=7898" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">uni-goettingen.de/en/3240.html</span><span class="invisible">?id=7898</span></a> </p><p>Twelve project partners from research and industry working together to develop new software, flexible robotic grippers and other multi-functional robotic tools <a href="https://academiccloud.social/tags/Biophysics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Biophysics</span></a> <a href="https://academiccloud.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralNetworks</span></a></p>
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Laurent Cheylus<p>A very detailed Retrospective about the Backpropagation Algorithm used to train Neural Networks - Article by Jürgen Schmidhuber <a href="https://bsd.network/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://bsd.network/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://people.idsia.ch/~juergen/who-invented-backpropagation.html" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">people.idsia.ch/~juergen/who-i</span><span class="invisible">nvented-backpropagation.html</span></a></p>
knoppix<p>Gotta wear Faraday cages now. 🥲</p><p><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://mastodon.social/tags/Surveillance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Surveillance</span></a> <a href="https://mastodon.social/tags/ComputerVision" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputerVision</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/WiFi" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WiFi</span></a> <a href="https://mastodon.social/tags/Wireless" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Wireless</span></a> <a href="https://mastodon.social/tags/Privacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Privacy</span></a> <a href="https://mastodon.social/tags/Pose" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pose</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/TechNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TechNews</span></a> <a href="https://mastodon.social/tags/Innovation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Innovation</span></a> <a href="https://mastodon.social/tags/Security" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Security</span></a> <a href="https://mastodon.social/tags/CyberSecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CyberSecurity</span></a> <a href="https://mastodon.social/tags/BigData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigData</span></a> <a href="https://mastodon.social/tags/SmartHomes" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SmartHomes</span></a> <a href="https://mastodon.social/tags/SmartHome" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SmartHome</span></a> <a href="https://mastodon.social/tags/AIResearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIResearch</span></a> <a href="https://mastodon.social/tags/ComputerScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputerScience</span></a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepLearning</span></a> <a href="https://mastodon.social/tags/IoT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IoT</span></a> <a href="https://mastodon.social/tags/DigitalPrivacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DigitalPrivacy</span></a> <a href="https://mastodon.social/tags/FutureTech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FutureTech</span></a> <a href="https://mastodon.social/tags/Tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Tech</span></a> <a href="https://mastodon.social/tags/Technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Technology</span></a></p>
knoppix<p>Elon Musk announces new AI company “Macrohard” via xAI to rival software giants like Microsoft. 🤖<br>The goal: simulate a full software company using AI—no hardware, just agents coding, managing & innovating. 🧠<br>Trademark filed Aug 1 for “agentic AI” tools.</p><p>🔗 <a href="https://www.businessinsider.com/elon-musk-ai-company-macrohard-rival-microsoft-2025-8" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">businessinsider.com/elon-musk-</span><span class="invisible">ai-company-macrohard-rival-microsoft-2025-8</span></a></p><p><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/xAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xAI</span></a> <a href="https://mastodon.social/tags/Macrohard" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Macrohard</span></a> <a href="https://mastodon.social/tags/ElonMusk" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ElonMusk</span></a> <a href="https://mastodon.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://mastodon.social/tags/TechNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TechNews</span></a> <a href="https://mastodon.social/tags/Automation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Automation</span></a> <a href="https://mastodon.social/tags/FutureOfWork" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FutureOfWork</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/Software" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Software</span></a> <a href="https://mastodon.social/tags/Innovation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Innovation</span></a> <a href="https://mastodon.social/tags/AGI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AGI</span></a> <a href="https://mastodon.social/tags/AITools" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AITools</span></a> <a href="https://mastodon.social/tags/BigTech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigTech</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/AgenticAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AgenticAI</span></a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepLearning</span></a> <a href="https://mastodon.social/tags/TechIndustry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TechIndustry</span></a></p>
Ingvar Santry<p>In a study published in the journal Cell, researchers detailed how they analyzed 36 million chemical compounds using neural networks. Read the study: <a href="https://www.cell.com/cell/abstract/S0092-8674(25)00855-4" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">cell.com/cell/abstract/S0092-8</span><span class="invisible">674(25)00855-4</span></a><br><a href="https://mastodon.social/tags/CellJournal" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CellJournal</span></a> <a href="https://mastodon.social/tags/Research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Research</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/ChemicalCompounds" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ChemicalCompounds</span></a> <a href="https://mastodon.social/tags/AIinScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIinScience</span></a></p>
Philo Sophies<p><a href="https://techhub.social/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Zoomposium</span></a> with Dr. <a href="https://techhub.social/tags/Patrick" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Patrick</span></a> <a href="https://techhub.social/tags/Krau%C3%9F" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Krauß</span></a>: “Instructions for building <a href="https://techhub.social/tags/artificialconsciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>artificialconsciousness</span></a>”</p><p>Translating the various stages of <a href="https://techhub.social/tags/Damasio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Damasio</span></a> <a href="https://techhub.social/tags/theoryofconsciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>theoryofconsciousness</span></a> 1:1 into concrete <a href="https://techhub.social/tags/circuitdiagrams" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>circuitdiagrams</span></a> for <a href="https://techhub.social/tags/deeplearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>deeplearning</span></a>. To this end, strategies such as <a href="https://techhub.social/tags/feedforwardconnections" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>feedforwardconnections</span></a> and <a href="https://techhub.social/tags/recurrentconnections" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>recurrentconnections</span></a> in the form of <a href="https://techhub.social/tags/reinforcementlearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reinforcementlearning</span></a> and <a href="https://techhub.social/tags/unsupervisedlearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>unsupervisedlearning</span></a> are used to simulate the <a href="https://techhub.social/tags/biologicalprocesses" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biologicalprocesses</span></a> of <a href="https://techhub.social/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuralnetworks</span></a>. </p><p>More at: <a href="https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">philosophies.de/index.php/2023</span><span class="invisible">/10/24/bauanleitung-kuenstliches-bewusstsein/</span></a></p><p>or: <a href="https://open.spotify.com/episode/0httDEYGoUGxJ6lHA03LEZ?si=BzmZn3EvQr6imSzUUKG8RQ" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">open.spotify.com/episode/0httD</span><span class="invisible">EYGoUGxJ6lHA03LEZ?si=BzmZn3EvQr6imSzUUKG8RQ</span></a></p><p><a href="https://techhub.social/tags/PatrickKrau%C3%9F" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PatrickKrauß</span></a> <a href="https://techhub.social/tags/PatrickKrauss" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PatrickKrauss</span></a> <a href="https://techhub.social/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Zoomposium</span></a> <a href="https://techhub.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://techhub.social/tags/Consciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Consciousness</span></a> <a href="https://techhub.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepLearning</span></a> <a href="https://techhub.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroscience</span></a> <a href="https://techhub.social/tags/Damasio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Damasio</span></a> <a href="https://techhub.social/tags/ArtificialConsciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialConsciousness</span></a> <a href="https://techhub.social/tags/NeuroscienceInspiredAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroscienceInspiredAI</span></a> <a href="https://techhub.social/tags/CognitiveNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CognitiveNeuroscience</span></a> <a href="https://techhub.social/tags/Embodiment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Embodiment</span></a> <a href="https://techhub.social/tags/TuringTest" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TuringTest</span></a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/ArtificialConsciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialConsciousness</span></a> <a href="https://techhub.social/tags/Ethics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Ethics</span></a> <a href="https://techhub.social/tags/AIrisks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIrisks</span></a> <a href="https://techhub.social/tags/MachineConsciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineConsciousness</span></a> <a href="https://techhub.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> <a href="https://techhub.social/tags/ReinforcementLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ReinforcementLearning</span></a> <a href="https://techhub.social/tags/UnsupervisedLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnsupervisedLearning</span></a> <a href="https://techhub.social/tags/CognitiveComputing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CognitiveComputing</span></a> <a href="https://techhub.social/tags/ArtificialGeneralIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialGeneralIntelligence</span></a> <a href="https://techhub.social/tags/PhilosophyOfMind" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PhilosophyOfMind</span></a> <a href="https://techhub.social/tags/BlackBoxProblem" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BlackBoxProblem</span></a> <a href="https://techhub.social/tags/ExplainableAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ExplainableAI</span></a> <a href="https://techhub.social/tags/Neuroinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroinformatics</span></a> <a href="https://techhub.social/tags/DigitalMind" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DigitalMind</span></a> <a href="https://techhub.social/tags/FutureOfAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FutureOfAI</span></a></p>
Leanpub<p>Leanpub book LAUNCH 🚀 The Inner Workings of Large Language Models: How Neural Networks Learn Language by Roger Gullhaug</p><p>Watch here: <a href="https://youtu.be/ZAEz8ea0Bwo" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/ZAEz8ea0Bwo</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/books" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>books</span></a> <a href="https://mastodon.social/tags/booklaunch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>booklaunch</span></a> <a href="https://mastodon.social/tags/llms" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>llms</span></a> <a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://mastodon.social/tags/language" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>language</span></a> <a href="https://mastodon.social/tags/nlp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>nlp</span></a> <a href="https://mastodon.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://mastodon.social/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuralnetworks</span></a> <a href="https://mastodon.social/tags/deeplearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>deeplearning</span></a> <a href="https://mastodon.social/tags/science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>science</span></a></p>
Philo Sophies<p>#13 <a href="https://techhub.social/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Zoomposium</span></a> with Petra Ritter: The <a href="https://techhub.social/tags/simulation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>simulation</span></a> of <a href="https://techhub.social/tags/brains" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>brains</span></a></p><p><a href="https://techhub.social/tags/PetraRitter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PetraRitter</span></a> is co-founder and head of the co-design project “The <a href="https://techhub.social/tags/VirtualBrain" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VirtualBrain</span></a>,” which is part of the European Open Science Cloud <a href="https://techhub.social/tags/EOSC" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EOSC</span></a> and represents a <a href="https://techhub.social/tags/neuroinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroinformatics</span></a> platform for the <a href="https://techhub.social/tags/simulation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>simulation</span></a> of complete <a href="https://techhub.social/tags/brainnetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>brainnetworks</span></a> using biologically realistic <a href="https://techhub.social/tags/connectivity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connectivity</span></a>.</p><p>More at: <a href="https://philosophies.de/index.php/2023/09/17/die-simulation-von-gehirnen/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">philosophies.de/index.php/2023</span><span class="invisible">/09/17/die-simulation-von-gehirnen/</span></a></p><p>or: <a href="https://youtu.be/XrTWh0n8yDY" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/XrTWh0n8yDY</span><span class="invisible"></span></a></p><p><a href="https://techhub.social/tags/PetraRitter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PetraRitter</span></a> <a href="https://techhub.social/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Zoomposium</span></a> <a href="https://techhub.social/tags/BrainResearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BrainResearch</span></a> <a href="https://techhub.social/tags/BrainSimulation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BrainSimulation</span></a> <a href="https://techhub.social/tags/VirtualBrain" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VirtualBrain</span></a> <a href="https://techhub.social/tags/Neuroinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroinformatics</span></a> <a href="https://techhub.social/tags/Neurotechnology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neurotechnology</span></a> <a href="https://techhub.social/tags/EBRAINS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EBRAINS</span></a> <a href="https://techhub.social/tags/HumanBrainProject" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HumanBrainProject</span></a> <a href="https://techhub.social/tags/NFDI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NFDI</span></a> <a href="https://techhub.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroscience</span></a> <a href="https://techhub.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralNetworks</span></a> <a 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Eric Maugendre<p>Logistic regression may be used for classification.</p><p>In order to preserve the convex nature for the loss function, a log-loss cost function has been designed for logistic regression. This cost function extremes at labels True and False.</p><p>The gradient for the loss function of logistic regression comes out to have the same form of terms as the gradient for the Least Squared Error.</p><p>More: <a href="https://www.baeldung.com/cs/gradient-descent-logistic-regression" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">baeldung.com/cs/gradient-desce</span><span class="invisible">nt-logistic-regression</span></a></p><p><a href="https://hachyderm.io/tags/optimization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>optimization</span></a> <a href="https://hachyderm.io/tags/algebra" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>algebra</span></a> <a href="https://hachyderm.io/tags/linearAlgebra" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>linearAlgebra</span></a> <a href="https://hachyderm.io/tags/math" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>math</span></a> <a href="https://hachyderm.io/tags/maths" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>maths</span></a> <a href="https://hachyderm.io/tags/mathematics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mathematics</span></a> <a href="https://hachyderm.io/tags/mathStodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mathStodon</span></a> <a href="https://hachyderm.io/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> <a href="https://hachyderm.io/tags/dataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataScience</span></a> <a href="https://hachyderm.io/tags/machineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machineLearning</span></a> <a href="https://hachyderm.io/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepLearning</span></a> <a href="https://hachyderm.io/tags/neuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuralNetworks</span></a> <a href="https://hachyderm.io/tags/NLP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NLP</span></a> <a href="https://hachyderm.io/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modeling</span></a> <a href="https://hachyderm.io/tags/modelling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelling</span></a> <a href="https://hachyderm.io/tags/models" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>models</span></a> <a href="https://hachyderm.io/tags/dataDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataDev</span></a> <a href="https://hachyderm.io/tags/AIDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIDev</span></a> <a href="https://hachyderm.io/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regression</span></a> <a href="https://hachyderm.io/tags/modelling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelling</span></a> <a href="https://hachyderm.io/tags/dataLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataLearning</span></a> <a href="https://hachyderm.io/tags/probabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probabilities</span></a> <a href="https://hachyderm.io/tags/logisticRegression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>logisticRegression</span></a> <a href="https://hachyderm.io/tags/logLoss" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>logLoss</span></a> <a href="https://hachyderm.io/tags/sigmoid" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sigmoid</span></a> <a href="https://hachyderm.io/tags/classification" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>classification</span></a> <a href="https://hachyderm.io/tags/differentialCalculus" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>differentialCalculus</span></a> <a href="https://hachyderm.io/tags/loss" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>loss</span></a></p>
patrykrosa<p>One mechanism, three disorders: When the excitability margin in vCA1 neurons falls <5 mV, network oscillations replay emotional engrams → depression, schizophrenia, PTSD.<br>🔗 <a href="https://doi.org/10.31219/osf.io/e4cwb_v1" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.31219/osf.io/e4cwb_</span><span class="invisible">v1</span></a></p><p><a href="https://mastodon.social/tags/Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Science</span></a> <a href="https://mastodon.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroscience</span></a> <a href="https://mastodon.social/tags/Neurobiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neurobiology</span></a> <a href="https://mastodon.social/tags/Neurophysiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neurophysiology</span></a> <a href="https://mastodon.social/tags/Brain" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Brain</span></a> <a href="https://mastodon.social/tags/BrainHealth" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BrainHealth</span></a> <a href="https://mastodon.social/tags/MentalHealth" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MentalHealth</span></a> <a href="https://mastodon.social/tags/Psychiatry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Psychiatry</span></a> <a href="https://mastodon.social/tags/Schizophrenia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Schizophrenia</span></a> <a href="https://mastodon.social/tags/Depression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Depression</span></a> <a href="https://mastodon.social/tags/PTSD" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PTSD</span></a> <a href="https://mastodon.social/tags/Hippocampus" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Hippocampus</span></a> <a href="https://mastodon.social/tags/Memory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Memory</span></a> <a href="https://mastodon.social/tags/Synapses" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Synapses</span></a> <a href="https://mastodon.social/tags/CognitiveScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CognitiveScience</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/OpenScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenScience</span></a> <a href="https://mastodon.social/tags/FediSci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FediSci</span></a> <a href="https://mastodon.social/tags/Preprint" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Preprint</span></a> <a href="https://mastodon.social/tags/AcademicChatter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AcademicChatter</span></a> <a href="https://mastodon.social/tags/AcademicTwitter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AcademicTwitter</span></a> <a href="https://mastodon.social/tags/SciComm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SciComm</span></a> <a href="https://mastodon.social/tags/Researchers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Researchers</span></a> <a href="https://mastodon.social/tags/Research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Research</span></a> <a href="https://mastodon.social/tags/OSF" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OSF</span></a></p>
Dave<p>GPT-5’s hidden superpower?<br>Its revolutionary model routing system—optimizing AI responses in real-time for unmatched speed & accuracy. The future isn’t just bigger models… it’s smarter ones. <br><a href="https://eproductempire.blogspot.com/2025/08/gpt-5s-revolutionary-model-routing.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">eproductempire.blogspot.com/20</span><span class="invisible">25/08/gpt-5s-revolutionary-model-routing.html</span></a><br><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/TechInnovation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TechInnovation</span></a> <a href="https://mastodon.social/tags/FutureTech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FutureTech</span></a> <a href="https://mastodon.social/tags/GPT5" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GPT5</span></a> <a href="https://mastodon.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/TechInnovation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TechInnovation</span></a> <a href="https://mastodon.social/tags/FutureOfAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FutureOfAI</span></a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepLearning</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/AITech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AITech</span></a> <a href="https://mastodon.social/tags/BigData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigData</span></a> <a href="https://mastodon.social/tags/AIRevolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIRevolution</span></a></p>
.:\dGh/:.<p>"Please, use <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> to bring forward your project deadlines"</p><p>Okay.</p><p>"Please, use AI to fix the code to usable state."</p><p>Okay.</p><p>"Please, use AI to bring forward your project deadlines"</p><p>I know where this is going...</p><p><a href="https://mastodon.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LargeLanguageModel</span></a> <a href="https://mastodon.social/tags/LM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LM</span></a> <a href="https://mastodon.social/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/Coding" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Coding</span></a> <a href="https://mastodon.social/tags/Code" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Code</span></a> <a href="https://mastodon.social/tags/Programming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Programming</span></a> <a href="https://mastodon.social/tags/Programmer" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Programmer</span></a> <a href="https://mastodon.social/tags/Software" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Software</span></a> <a href="https://mastodon.social/tags/SoftwareDevelopment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SoftwareDevelopment</span></a></p>
Tiago F. R. Ribeiro<p>BlockDL: cria redes neuronais visualmente no navegador</p><p><a href="https://blockdl.com/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">blockdl.com/</span><span class="invisible"></span></a></p><p>Desenha a sua arquitetura com o rato, valida automaticamente e gera código que pode executar de imediato. Uma forma prática e intuitiva de aprender Machine Learning, ideal para estudantes, entusiastas e educadores.</p><p>Visual, interativo e educativo — acelera a compreensão dos conceitos sem complicações.</p><p><a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepLearning</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/VisualAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VisualAI</span></a> <a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://mastodon.social/tags/Keras" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Keras</span></a></p>
Leanpub<p>Super Study Guide: Transformers & Large Language Models <a href="https://leanpub.com/transformers-large-language-models" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">leanpub.com/transformers-large</span><span class="invisible">-language-models</span></a> by Afshine Amidi and Shervine Amidi is the featured book on the Leanpub homepage! <a href="https://leanpub.com" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">leanpub.com</span><span class="invisible"></span></a> <a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepLearning</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/books" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>books</span></a> <a href="https://mastodon.social/tags/ebooks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ebooks</span></a></p><p>A clear, illustrated guide to large language models, covering key concepts and practical applications. Ideal for projects, interviews, or personal learning.</p><p>Find it on Leanpub!</p>
US<p><a href="https://www.europesays.com/us/77625/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">europesays.com/us/77625/</span><span class="invisible"></span></a> The analysis of learning investment effect for artificial intelligence English translation model based on deep neural network <a href="https://pubeurope.com/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://pubeurope.com/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://pubeurope.com/tags/FutureInformationGuidance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FutureInformationGuidance</span></a> <a href="https://pubeurope.com/tags/HumanitiesAndSocialSciences" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HumanitiesAndSocialSciences</span></a> <a href="https://pubeurope.com/tags/LearningInvestmentEffect" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LearningInvestmentEffect</span></a> <a href="https://pubeurope.com/tags/multidisciplinary" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>multidisciplinary</span></a> <a href="https://pubeurope.com/tags/MultimodalTranslation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MultimodalTranslation</span></a> <a href="https://pubeurope.com/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://pubeurope.com/tags/Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Science</span></a> <a href="https://pubeurope.com/tags/Technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Technology</span></a> <a href="https://pubeurope.com/tags/UnitedStates" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnitedStates</span></a> <a href="https://pubeurope.com/tags/UnitedStates" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnitedStates</span></a> <a href="https://pubeurope.com/tags/US" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>US</span></a> <a href="https://pubeurope.com/tags/VisualInformation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VisualInformation</span></a></p>
Miguel Afonso Caetano<p>Gary Marcus is onto something in here. Maybe true AGI is not so impossible to reach after all. Just probably not in the near future but likely within 20 years. </p><p>"For all the efforts that OpenAI and other leaders of deep learning, such as Geoffrey Hinton and Yann LeCun, have put into running neurosymbolic AI, and me personally, down over the last decade, the cutting edge is finally, if quietly and without public acknowledgement, tilting towards neurosymbolic AI.</p><p>This essay explains what neurosymbolic AI is, why you should believe it, how deep learning advocates long fought against it, and how in 2025, OpenAI and xAI have accidentally vindicated it.</p><p>And it is about why, in 2025, neurosymbolic AI has emerged as the team to beat.</p><p>It is also an essay about sociology.</p><p>The essential premise of neurosymbolic AI is this: the two most common approaches to AI, neural networks and classical symbolic AI, have complementary strengths and weaknesses. Neural networks are good at learning but weak at generalization; symbolic systems are good at generalization, but not at learning."</p><p><a href="https://garymarcus.substack.com/p/how-o3-and-grok-4-accidentally-vindicated" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">garymarcus.substack.com/p/how-</span><span class="invisible">o3-and-grok-4-accidentally-vindicated</span></a></p><p><a href="https://tldr.nettime.org/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://tldr.nettime.org/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://tldr.nettime.org/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepLearning</span></a> <a href="https://tldr.nettime.org/tags/SymbolicAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SymbolicAI</span></a> <a href="https://tldr.nettime.org/tags/NeuroSymbolicAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroSymbolicAI</span></a> <a href="https://tldr.nettime.org/tags/AGI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AGI</span></a></p>
datatofu<p>So, again. In <a href="https://mastodon.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> and <a href="https://mastodon.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> </p><p>Specifically, <a href="https://mastodon.social/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuralnetworks</span></a> </p><p>I really do not get why we renamed "composition of functions" from mathematics. Like, was that really necessary? I mean, sure your input is in R² and above, but... like, does nobody else find our naming sense weird?</p><p>There is some <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> code to construct a neural net in the other pictures but it is more of a bonus at this point.</p>
Lord Caramac the Clueless, KSC<p>If we ever see a real artificial mind, some kind of LLM will probably be a small but significant component of that, but the current wave of machine learning will probably come to a grinding halt very soon because of a lack of cheap training data. The reason why all of this is happening now is simple: The technologies behind machine learning have been around for decades, but computers weren't fast enough and didn't have enough memory for those tools to become really powerful until the early 2000s, and around the same time, the Internet went mainstream and got filled with all kinds of data that could be datamined for training sets. Now there is so much synthetic content out there that automated data mining won't work much longer, you need humans to curate and clean the training data, which makes the process slow and expensive. I expect to see another decades long AI winter after the commercial hype is over. </p><p>If you look for real intelligence, look at autonomous robots and computer game NPCs. There you can find machine learning and artificial neural networks applied to actual cognitive tasks in which an agent interacts with its environment. Those things may not even be as intelligent as a rat yet, but they are actually intelligent, unlike LLMs. </p><p><a href="https://discordian.social/tags/llm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>llm</span></a> <a href="https://discordian.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a> <a href="https://discordian.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://discordian.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://discordian.social/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuralnetworks</span></a></p>
Calin Sandu<p>Transfer Learning in Machine Learning</p><p>Transfer learning is a technique in machine learning where a model developed for one task is reused as the starting point for a model on a second task. Rather than training a model entirely from scratch, which often requires large amounts of labeled data and computational resources, transfer learning enables a more efficient approach by leveraging previously learned features</p><p><a href="https://ml-nn.eu/a1/86.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">ml-nn.eu/a1/86.html</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/Programming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Programming</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a></p>
Calin Sandu<p>The 'Reinforcement Learning Playground App' is an educational and interactive tool designed to help users understand the fundamentals of reinforcement learning, specifically through...</p><p><a href="https://ml-nn.eu/p/project19.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">ml-nn.eu/p/project19.html</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/Programming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Programming</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a></p>
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