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#neuralnetworks

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PLOS Biology<p>How do <a href="https://fediscience.org/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetworks</span></a> generate diverse and variable outputs? This study of the larval <a href="https://fediscience.org/tags/fruitfly" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>fruitfly</span></a> locomotor system shows that relatively simple sets of <a href="https://fediscience.org/tags/inhibitory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>inhibitory</span></a> circuit motifs can generate a surprising degree of diversity &amp; variability in motor programs <span class="h-card" translate="no"><a href="https://fediscience.org/@PLOSBiology" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>PLOSBiology</span></a></span> <a href="https://plos.io/3GpT3pR" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">plos.io/3GpT3pR</span><span class="invisible"></span></a></p>
Leanpub<p>The Hundred-Page Language Models Book by Andriy Burkov is on sale on Leanpub! Its suggested price is $50.00; get it for $20.00 with this coupon: <a href="https://leanpub.com/sh/3u98EIgF" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">leanpub.com/sh/3u98EIgF</span><span class="invisible"></span></a> <a href="https://mastodon.social/tags/Ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Ai</span></a> <a href="https://mastodon.social/tags/Gpt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Gpt</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a> <a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.social/tags/ComputerScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ComputerScience</span></a> <a href="https://mastodon.social/tags/Linguistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Linguistics</span></a></p>
Victoria Stuart 🇨🇦 🏳️‍⚧️<p>Physics Rediscovered: My trebuchet is bigger than yours<br><a href="https://michaeldominik.substack.com/p/physics-rediscovered-interlude-my" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">michaeldominik.substack.com/p/</span><span class="invisible">physics-rediscovered-interlude-my</span></a><br><a href="https://news.ycombinator.com/item?id=42912084" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">news.ycombinator.com/item?id=4</span><span class="invisible">2912084</span></a></p><p>Posting more so b/c of this:</p><p>Supersonic Projectile Exceeds Engineers Dreams: Supersonic Trebuchet<br><a href="https://hackaday.com/2021/12/01/supersonic-projectile-exceeds-engineers-dreams-the-supersonic-trebuchet/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hackaday.com/2021/12/01/supers</span><span class="invisible">onic-projectile-exceeds-engineers-dreams-the-supersonic-trebuchet/</span></a><br><a href="https://news.ycombinator.com/item?id=29408127" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">news.ycombinator.com/item?id=2</span><span class="invisible">9408127</span></a></p><p>In the YT video the young engineer optimizes the aim.<br>Modern neural networks are based on similar mathematical optimization principles (cost/loss functions)...</p><p><a href="https://mastodon.social/tags/engineering" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>engineering</span></a> <a href="https://mastodon.social/tags/optimization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>optimization</span></a> <a href="https://mastodon.social/tags/trebuchet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>trebuchet</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/physics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>physics</span></a><br><a href="https://en.wikipedia.org/wiki/Trebuchet" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">en.wikipedia.org/wiki/Trebuchet</span><span class="invisible"></span></a></p>
Sen<p>Yeah IME <a href="https://mas.to/tags/chatgpt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>chatgpt</span></a> is unreliable when it comes to writing code for <a href="https://mas.to/tags/neuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuralNetworks</span></a>. Everything up to that in ML it can do okay, but I think neural network programming is just too esoteric. Too few examples in its training data.</p><p>Makes me wonder if I could amass a significant number of tech books on writing <a href="https://mas.to/tags/neuralNetwork" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuralNetwork</span></a> code in python, train— okay, fine-tune— a model on them and then ask it questions instead. Probably couldn't get it to write code for me but maybe it's just as well.</p>
Aaron<p>Two things I got out of this article:</p><p>1. There already exist drugs that can wipe long-term memory, like in sci-fi movies. Scary.</p><p>2. Unlike artificial neural networks, the brain relies on extremely sparse and permanent updates to synaptic strength. This has implications for "catastrophic forgetting", among other things.</p><p>Scientists discover "glue" that holds memory together in fascinating neuroscience breakthrough<br><a href="https://www.psypost.org/scientists-discover-glue-that-holds-memory-together-in-fascinating-neuroscience-breakthrough/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">psypost.org/scientists-discove</span><span class="invisible">r-glue-that-holds-memory-together-in-fascinating-neuroscience-breakthrough/</span></a></p><p><a href="https://techhub.social/tags/Memory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Memory</span></a><br><a href="https://techhub.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetworks</span></a><br><a href="https://techhub.social/tags/CatastrophicForgetting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CatastrophicForgetting</span></a></p>
Dr. Carlotta A. Berry, PhD<p>This book is currently on sale on Amazon. <a href="https://blacktwitter.io/tags/MitigatingBiasInMachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MitigatingBiasInMachineLearning</span></a> "Mitigating Bias in Machine Learning" Co-Edited by me and Brandeis Hill Marshall @csdoctorsister <a href="https://blacktwitter.io/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://blacktwitter.io/tags/NaturalLanguageProcessing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NaturalLanguageProcessing</span></a> <a href="https://blacktwitter.io/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://blacktwitter.io/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://a.co/d/57RPALY" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="">a.co/d/57RPALY</span><span class="invisible"></span></a></p>
Dr. Carlotta A. Berry, PhD<p>This book is currently on sale on Amazon. <a href="https://blacktwitter.io/tags/MitigatingBiasInMachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MitigatingBiasInMachineLearning</span></a> "Mitigating Bias in Machine Learning" Co-Edited by me and Brandeis Hill Marshall @csdoctorsister <a href="https://blacktwitter.io/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://blacktwitter.io/tags/NaturalLanguageProcessing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NaturalLanguageProcessing</span></a> <a href="https://blacktwitter.io/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://blacktwitter.io/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetworks</span></a></p>
IT News<p>In stunning Nobel win, AI researchers Hopfield and Hinton take 2024 Physics Prize - On Tuesday, the Royal Swedish Academy of Sciences awarded the 2024 Nobel P... - <a href="https://arstechnica.com/ai/2024/10/in-stunning-nobel-win-ai-researchers-hopfield-and-hinton-take-2024-physics-prize/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">arstechnica.com/ai/2024/10/in-</span><span class="invisible">stunning-nobel-win-ai-researchers-hopfield-and-hinton-take-2024-physics-prize/</span></a> <a href="https://schleuss.online/tags/royalswedishacademyofsciences" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>royalswedishacademyofsciences</span></a> <a href="https://schleuss.online/tags/artificialneuralnetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>artificialneuralnetworks</span></a> <a href="https://schleuss.online/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a> <a href="https://schleuss.online/tags/geoffreyhinton" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geoffreyhinton</span></a> <a href="https://schleuss.online/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuralnetworks</span></a> <a href="https://schleuss.online/tags/johnhopfield" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>johnhopfield</span></a> <a href="https://schleuss.online/tags/nobelprize" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nobelprize</span></a> <a href="https://schleuss.online/tags/science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>science</span></a> <a href="https://schleuss.online/tags/biz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>biz</span></a>⁢ <a href="https://schleuss.online/tags/sweden" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>sweden</span></a> <a href="https://schleuss.online/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a></p>
Erik Jonker<p>The nobel price for physics goes to Hinton and Hopfield for their work in what we now call AI.<br><a href="https://www.nobelprize.org/uploads/2024/09/advanced-physicsprize2024.pdf" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">nobelprize.org/uploads/2024/09</span><span class="invisible">/advanced-physicsprize2024.pdf</span></a></p><p><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/ANN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ANN</span></a> <a href="https://mastodon.social/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuralnetworks</span></a> <a href="https://mastodon.social/tags/hinton" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hinton</span></a> <a href="https://mastodon.social/tags/hopfield" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hopfield</span></a> <a href="https://mastodon.social/tags/nobel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nobel</span></a></p>
ChemistryViews<p>Nobel Prize in Physics 2024</p><p>John Joseph Hopfield, Princeton University, and Geoffrey E. Hinton, University of Toronto, were honored for foundational discoveries and inventions that enable machine learning (ML) with artificial neural networks</p><p><a href="https://www.chemistryviews.org/nobel-prize-in-physics-2024/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">chemistryviews.org/nobel-prize</span><span class="invisible">-in-physics-2024/</span></a></p><p><a href="https://mstdn.social/tags/nobel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nobel</span></a> <a href="https://mstdn.social/tags/physicsnobel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>physicsnobel</span></a> <a href="https://mstdn.social/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuralnetworks</span></a> <a href="https://mstdn.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://mstdn.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a> <a href="https://mstdn.social/tags/chemistry" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>chemistry</span></a> <a href="https://mstdn.social/tags/chemistryviews" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>chemistryviews</span></a> <a href="https://mstdn.social/tags/chemviews" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>chemviews</span></a></p>
Preston MacDougall<p>The 2024 <a href="https://mstdn.science/tags/NobelPrize" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NobelPrize</span></a> in <a href="https://mstdn.science/tags/Physics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Physics</span></a> was awarded to John Hopfield and Geoffrey Hinton for the development of Artificial Neural Networks that led to <a href="https://mstdn.science/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a>. 👉 <a href="https://www.nobelprize.org/prizes/physics/2024/summary/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">nobelprize.org/prizes/physics/</span><span class="invisible">2024/summary/</span></a></p><p>I note that Hinton is the University of <a href="https://mstdn.science/tags/Toronto" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Toronto</span></a> professor who resigned from the <a href="https://mstdn.science/tags/Google" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Google</span></a> Board of Directors because of its AI policy. Also, the <a href="https://mstdn.science/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetworks</span></a> research was initiated in Edinburgh, <a href="https://mstdn.science/tags/Scotland" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Scotland</span></a> by his late PhD advisor, Professor Christopher Longuet-Higgins who relocated from the <a href="https://mstdn.science/tags/Chemistry" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Chemistry</span></a> Dept at Cambridge.</p>
Calin Sandu<p>Check out our Machine Learning projects here:<br><a href="https://ml-nn.eu/projects.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">ml-nn.eu/projects.html</span><span class="invisible"></span></a> </p><p>All our project data sets + Jupyter notebooks can be found here:<br><a href="https://buymeacoffee.com/calinsandu/extras" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">buymeacoffee.com/calinsandu/ex</span><span class="invisible">tras</span></a> </p><p><a href="https://mastodon.social/tags/Programming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Programming</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/Projects" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Projects</span></a> <a href="https://mastodon.social/tags/Learn" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Learn</span></a> <a href="https://mastodon.social/tags/BuyMeACoffee" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BuyMeACoffee</span></a></p>
✨🇪🇺 Mia’s Simulacrum 🏳️‍⚧️✨<p>Whoooaaaa</p><p>&gt; NNCP: Lossless Data Compression with Neural Networks</p><p>It can compress a dump of the English Wikipedia that is 1,000,000,000 bytes long into a file that is 106,632,363 long.</p><p>What means that we can compress text by 89.34%.</p><p>Or in bits per bytes 0.853.<br>What means that for every byte uncompressed data, we need 0.853 bits in the compressed data.</p><p>This is just absolutely mind blowing! :blobcatsweats: 🤯 </p><p><a href="https://bellard.org/nncp/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">bellard.org/nncp/</span><span class="invisible"></span></a></p><p><a href="https://lgbtqia.space/tags/Compression" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Compression</span></a> <a href="https://lgbtqia.space/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetworks</span></a></p>
Joey de Villa 🪗<p>If you’ve been trying to learn how neural networks work but have been slapped down HARD by pages of math equations, here are a couple of easier ways to get up to speed (and eventually learn the required math)!</p><p><a href="https://mastodon.cloud/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.cloud/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://mastodon.cloud/tags/ML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ML</span></a> <a href="https://mastodon.cloud/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.cloud/tags/NeuralNetwork" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetwork</span></a> <a href="https://mastodon.cloud/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetworks</span></a></p><p><a href="https://www.globalnerdy.com/2024/05/07/easier-ways-to-learn-how-neural-networks-work/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">globalnerdy.com/2024/05/07/eas</span><span class="invisible">ier-ways-to-learn-how-neural-networks-work/</span></a></p>
Erik Jonker<p>Very nice picture that was shared by Ronald van Loon on X, you can discuss if the categories are complete and correct, but it illustrates that the field of AI is much more then just transformers/LLMs.<br><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/Machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Machinelearning</span></a> <a href="https://mastodon.social/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuralnetworks</span></a> <a href="https://mastodon.social/tags/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deeplearning</span></a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/Transfomers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Transfomers</span></a></p>
Matt Willemsen<p>Invisible Scars: World’s Largest Childhood Trauma Study Uncovers Brain Rewiring<br><a href="https://scitechdaily.com/invisible-scars-worlds-largest-childhood-trauma-study-uncovers-brain-rewiring/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">scitechdaily.com/invisible-sca</span><span class="invisible">rs-worlds-largest-childhood-trauma-study-uncovers-brain-rewiring/</span></a> <a href="https://mastodon.social/tags/psychology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>psychology</span></a> <a href="https://mastodon.social/tags/brain" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>brain</span></a> <a href="https://mastodon.social/tags/trauma" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>trauma</span></a> <a href="https://mastodon.social/tags/MentalHealth" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MentalHealth</span></a> <a href="https://mastodon.social/tags/Psychiatry" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Psychiatry</span></a> <a href="https://mastodon.social/tags/disruption" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>disruption</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/treatment" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>treatment</span></a></p>
IT News<p>3D Printing Functional Human Brain Tissue For Research Purposes - Graphical summary of the newly developed 3D bioprinting process. (Credit: Yan et a... - <a href="https://hackaday.com/2024/02/12/3d-printing-functional-human-brain-tissue-for-research-purposes/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hackaday.com/2024/02/12/3d-pri</span><span class="invisible">nting-functional-human-brain-tissue-for-research-purposes/</span></a> <a href="https://schleuss.online/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuralnetworks</span></a> <a href="https://schleuss.online/tags/science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>science</span></a> <a href="https://schleuss.online/tags/neuron" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuron</span></a></p>
Clara Burgard<p>Last days of work before Christmas and looking for a paper to read to procrastinate all other ToDo-items? 🤶 <br>I present to you our latest paper, on parameterising <a href="https://mastodon.green/tags/melt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>melt</span></a> at the base of <a href="https://mastodon.green/tags/Antarctic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Antarctic</span></a> ice shelves with <a href="https://mastodon.green/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetworks</span></a>! 🌊 🧊 💻 <br><a href="http://doi.org/10.1029/2023MS003829" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://</span><span class="">doi.org/10.1029/2023MS003829</span><span class="invisible"></span></a></p><p>Coauthors on Mastodon: <span class="h-card" translate="no"><a href="https://fediscience.org/@nicojourd" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>nicojourd</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@tobifinn" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>tobifinn</span></a></span> </p><p><a href="https://mastodon.green/tags/ClimateModel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ClimateModel</span></a> <a href="https://mastodon.green/tags/ClimateChange" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ClimateChange</span></a> <a href="https://mastodon.green/tags/IceSheet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>IceSheet</span></a> <a href="https://mastodon.green/tags/Modeling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Modeling</span></a> <a href="https://mastodon.green/tags/PolarRegions" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PolarRegions</span></a> <a href="https://mastodon.green/tags/OceanModel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OceanModel</span></a> <a href="https://mastodon.green/tags/Ocean" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Ocean</span></a></p>
Jason H. Moore, Ph.D.<p>Grammatical Evolution-Driven Algorithm for Efficient and Automatic Hyperparameter Optimisation of Neural Networks <a href="https://www.mdpi.com/1999-4893/16/7/319" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">mdpi.com/1999-4893/16/7/319</span><span class="invisible"></span></a> <a href="https://mastodon.online/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuralnetworks</span></a> <a href="https://mastodon.online/tags/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deeplearning</span></a> <a href="https://mastodon.online/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a> <a href="https://mastodon.online/tags/datascience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datascience</span></a></p>
IT News<p>Rethinking open source for AI - We keep using the term “open source” in the context of large language models (LLMs) li... - <a href="https://www.infoworld.com/article/3706091/rethinking-open-source-for-ai.html#tk.rss_all" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">infoworld.com/article/3706091/</span><span class="invisible">rethinking-open-source-for-ai.html#tk.rss_all</span></a> <a href="https://schleuss.online/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>artificialintelligence</span></a> <a href="https://schleuss.online/tags/softwarelicensing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>softwarelicensing</span></a> <a href="https://schleuss.online/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuralnetworks</span></a> <a href="https://schleuss.online/tags/opensource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opensource</span></a></p>
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