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Paolo Fabio Zaino ☮️🌍💻🎸🎮☕️🍩🍕🚨 New post about the cybersecurity challenges of adopting or implementing AI based on Liquid Neural Networks.Check it out here:🔗 <a href="https://paolozaino.wordpress.com/2025/02/11/ai-the-security-challenges-of-liquid-neural-networks/" rel="nofollow noopener" translate="no" target="_blank">https://paolozaino.wordpress.com/2025/02/11/ai-the-security-challenges-of-liquid-neural-networks/</a><a href="https://mastodon.online/tags/TechNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#TechNews</a> <a href="https://mastodon.online/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://mastodon.online/tags/LNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#LNN</a> <a href="https://mastodon.online/tags/CyberSecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#CyberSecurity</a> <a href="https://mastodon.online/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#DeepLearning</a> <a href="https://mastodon.online/tags/Rust" class="mention hashtag" rel="nofollow noopener" target="_blank">#Rust</a> <a href="https://mastodon.online/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#ArtificialIntelligence</a> <a href="https://mastodon.online/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#MachineLearning</a> <a href="https://mastodon.online/tags/AIResearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIResearch</a> <a href="https://mastodon.online/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#NeuralNetworks</a> <a href="https://mastodon.online/tags/TechBlog" class="mention hashtag" rel="nofollow noopener" target="_blank">#TechBlog</a> <a href="https://mastodon.online/tags/AICommunity" class="mention hashtag" rel="nofollow noopener" target="_blank">#AICommunity</a> <a href="https://mastodon.online/tags/AIApplications" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIApplications</a> <a href="https://mastodon.online/tags/AIInnovation" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIInnovation</a> <a href="https://mastodon.online/tags/AITrends" class="mention hashtag" rel="nofollow noopener" target="_blank">#AITrends</a> <a href="https://mastodon.online/tags/AIInsights" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIInsights</a> <a href="https://mastodon.online/tags/AIAdvancements" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIAdvancements</a> <a href="https://mastodon.online/tags/zLNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#zLNN</a>

Paolo Fabio Zaino ☮️🌍💻🎸🎮☕️🍩🍕After receiving so many questions about my <a href="https://mastodon.online/tags/zLNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#zLNN</a> and how <a href="https://mastodon.online/tags/LiquidNeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#LiquidNeuralNetworks</a> work, I’ve decided to start publishing articles to help people better understand LNNs. Check the first one out here:<a href="https://tinyurl.com/mt242844" rel="nofollow noopener" translate="no" target="_blank">https://tinyurl.com/mt242844</a><a href="https://mastodon.online/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://mastodon.online/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#ArtificialIntelligence</a> <a href="https://mastodon.online/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#MachineLearning</a> <a href="https://mastodon.online/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#DeepLearning</a> <a href="https://mastodon.online/tags/LNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#LNN</a> <a href="https://mastodon.online/tags/LiquidAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#LiquidAI</a> <a href="https://mastodon.online/tags/LiquidNeuralNetwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#LiquidNeuralNetwork</a> <a href="https://mastodon.online/tags/Rust" class="mention hashtag" rel="nofollow noopener" target="_blank">#Rust</a>

Zoomers of the Sunshine CoastAlphaProteo generates novel proteins for biology and health researchOn Apple Podcasts <a href="https://podcasts.apple.com/ca/podcast/heliox-where-evidence-meets-empathy/id1769969487?i=1000673161642" rel="nofollow noopener" translate="no" target="_blank">https://podcasts.apple.com/ca/podcast/heliox-where-evidence-meets-empathy/id1769969487?i=1000673161642</a>Heliox Podcast ( subscribe so you do not miss an episode ) <a href="https://podcasts.apple.com/ca/podcast/heliox-where-evidence-meets-empathy/id1769969487" rel="nofollow noopener" translate="no" target="_blank">https://podcasts.apple.com/ca/podcast/heliox-where-evidence-meets-empathy/id1769969487</a>Subscribe to "Heliox" on your favourite podcast provider.<a href="https://mstdn.ca/tags/LNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#LNN</a> <a href="https://mstdn.ca/tags/LiquidNeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#LiquidNeuralNetworks</a> <a href="https://mstdn.ca/tags/RaminHasani" class="mention hashtag" rel="nofollow noopener" target="_blank">#RaminHasani</a> <a href="https://mstdn.ca/tags/DanielaRus" class="mention hashtag" rel="nofollow noopener" target="_blank">#DanielaRus</a> <a href="https://mstdn.ca/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://mstdn.ca/tags/Recognition" class="mention hashtag" rel="nofollow noopener" target="_blank">#Recognition</a> <a href="https://mstdn.ca/tags/Compensation" class="mention hashtag" rel="nofollow noopener" target="_blank">#Compensation</a> <a href="https://mstdn.ca/tags/Durability" class="mention hashtag" rel="nofollow noopener" target="_blank">#Durability</a> <a href="https://mstdn.ca/tags/Economics" class="mention hashtag" rel="nofollow noopener" target="_blank">#Economics</a> <a href="https://mstdn.ca/tags/NewEconomy" class="mention hashtag" rel="nofollow noopener" target="_blank">#NewEconomy</a> <a href="https://mstdn.ca/tags/Dynamic" class="mention hashtag" rel="nofollow noopener" target="_blank">#Dynamic</a> <a href="https://mstdn.ca/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#ML</a>

Markus SchattenAs opposed to transformer based models, Liquid Neural Networks use less memory, are able to handle data arriving at irregular intervals and most importantly can even give us a glimpse of why the model behaves as it does. And now they seem to have been outperforming some <a href="https://mastodon.social/tags/SOTA" class="mention hashtag" rel="tag">#SOTA</a> models...<a href="https://venturebeat.com/ai/mit-spinoff-liquid-debuts-non-transformer-ai-models-and-theyre-already-state-of-the-art/" target="_blank" rel="nofollow noopener" translate="no">https://venturebeat.com/ai/mit-spinoff-liquid-debuts-non-transformer-ai-models-and-theyre-already-state-of-the-art/</a><a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="tag">#ai</a> <a href="https://mastodon.social/tags/genai" class="mention hashtag" rel="tag">#genai</a> <a href="https://mastodon.social/tags/explainableai" class="mention hashtag" rel="tag">#explainableai</a> <a href="https://mastodon.social/tags/lnn" class="mention hashtag" rel="tag">#lnn</a>

Antarctica BroadcastingLondon News Network/Carlton end caption (1998).<a href="https://mstdn.social/tags/TVCaptionTime" class="mention hashtag" rel="nofollow noopener" target="_blank">#TVCaptionTime</a> <a href="https://mstdn.social/tags/LondonNewsNetwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#LondonNewsNetwork</a> <a href="https://mstdn.social/tags/LNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#LNN</a> <a href="https://mstdn.social/tags/CarltonTelevision" class="mention hashtag" rel="nofollow noopener" target="_blank">#CarltonTelevision</a>

Paolo Fabio Zaino ☮️🌍💻🎸🎮☕️🍩🍕🎉 I've have prepared a comprehensive presentation page for my <a href="https://mastodon.online/tags/zLNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#zLNN</a> (Zed Liquid Neural Network). It’s packed with info and provides a sneak peek into the API and the roadmap. 📈All tests are succeeding, and the accuracy is now optimal!Dive into the details of the library here: <a href="https://tinyurl.com/bdd7zknm" rel="nofollow noopener" translate="no" target="_blank">https://tinyurl.com/bdd7zknm</a>Feedback welcome!<a href="https://mastodon.online/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#MachineLearning</a> <a href="https://mastodon.online/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://mastodon.online/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#NeuralNetworks</a> <a href="https://mastodon.online/tags/RustLang" class="mention hashtag" rel="nofollow noopener" target="_blank">#RustLang</a> <a href="https://mastodon.online/tags/TechInnovation" class="mention hashtag" rel="nofollow noopener" target="_blank">#TechInnovation</a> <a href="https://mastodon.online/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#DeepLearning</a> <a href="https://mastodon.online/tags/TechUpdates" class="mention hashtag" rel="nofollow noopener" target="_blank">#TechUpdates</a> <a href="https://mastodon.online/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#ArtificialIntelligence</a> <a href="https://mastodon.online/tags/Coding" class="mention hashtag" rel="nofollow noopener" target="_blank">#Coding</a> <a href="https://mastodon.online/tags/DeveloperCommunity" class="mention hashtag" rel="nofollow noopener" target="_blank">#DeveloperCommunity</a> <a href="https://mastodon.online/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenSource</a> <a href="https://mastodon.online/tags/Cybersecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#Cybersecurity</a> <a href="https://mastodon.online/tags/LNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#LNN</a>

Antarctica BroadcastingLondon News Network Production for LWT caption.<a href="https://mstdn.social/tags/TVCaptionTime" class="mention hashtag" rel="nofollow noopener" target="_blank">#TVCaptionTime</a> <a href="https://mstdn.social/tags/LondonNewsNetwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#LondonNewsNetwork</a> <a href="https://mstdn.social/tags/LNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#LNN</a> <a href="https://mstdn.social/tags/LondonWeekendTelevision" class="mention hashtag" rel="nofollow noopener" target="_blank">#LondonWeekendTelevision</a> <a href="https://mstdn.social/tags/LWT" class="mention hashtag" rel="nofollow noopener" target="_blank">#LWT</a>

Antarctica BroadcastingLondon News Network/Carlton caption (1998).<a href="https://mstdn.social/tags/TVCaptionTime" class="mention hashtag" rel="nofollow noopener" target="_blank">#TVCaptionTime</a> <a href="https://mstdn.social/tags/LondonNewsNetwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#LondonNewsNetwork</a> <a href="https://mstdn.social/tags/LNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#LNN</a> <a href="https://mstdn.social/tags/CarltonTelevision" class="mention hashtag" rel="nofollow noopener" target="_blank">#CarltonTelevision</a>

Antarctica BroadcastingLondon News Network Production for LWT caption, from the regional programme "Capital Gains".<a href="https://mstdn.social/tags/TVCaptionTime" class="mention hashtag" rel="nofollow noopener" target="_blank">#TVCaptionTime</a> <a href="https://mstdn.social/tags/LondonNewsNetwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#LondonNewsNetwork</a> <a href="https://mstdn.social/tags/LNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#LNN</a> <a href="https://mstdn.social/tags/LondonWeekendTelevision" class="mention hashtag" rel="nofollow noopener" target="_blank">#LondonWeekendTelevision</a> <a href="https://mstdn.social/tags/LWT" class="mention hashtag" rel="nofollow noopener" target="_blank">#LWT</a>

Antarctica BroadcastingLondon News Network/LWT caption (2000).Featuring the LNN web address - changed times.<a href="https://mstdn.social/tags/TVCaptionTime" class="mention hashtag" rel="nofollow noopener" target="_blank">#TVCaptionTime</a> <a href="https://mstdn.social/tags/LondonNewsNetwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#LondonNewsNetwork</a> <a href="https://mstdn.social/tags/LNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#LNN</a> <a href="https://mstdn.social/tags/LondonWeekendTelevision" class="mention hashtag" rel="nofollow noopener" target="_blank">#LondonWeekendTelevision</a> <a href="https://mstdn.social/tags/LWT" class="mention hashtag" rel="nofollow noopener" target="_blank">#LWT</a>

Antarctica BroadcastingLondon News Network Production for Carlton caption (1995).<a href="https://mstdn.social/tags/TVCaptionTime" class="mention hashtag" rel="nofollow noopener" target="_blank">#TVCaptionTime</a> <a href="https://mstdn.social/tags/LondonNewsNetwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#LondonNewsNetwork</a> <a href="https://mstdn.social/tags/LNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#LNN</a> <a href="https://mstdn.social/tags/CarltonTelevision" class="mention hashtag" rel="nofollow noopener" target="_blank">#CarltonTelevision</a>

Antarctica BroadcastingLondon News Network Production for LWT caption, from the regional programme "X".<a href="https://mstdn.social/tags/TVCaptionTime" class="mention hashtag" rel="nofollow noopener" target="_blank">#TVCaptionTime</a> <a href="https://mstdn.social/tags/LondonNewsNetwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#LondonNewsNetwork</a> <a href="https://mstdn.social/tags/LNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#LNN</a> <a href="https://mstdn.social/tags/LondonWeekendTelevision" class="mention hashtag" rel="nofollow noopener" target="_blank">#LondonWeekendTelevision</a> <a href="https://mstdn.social/tags/LWT" class="mention hashtag" rel="nofollow noopener" target="_blank">#LWT</a>

Antarctica BroadcastingLondon News Network Production for LWT caption (c. 1999-2000).<a href="https://mstdn.social/tags/TVCaptionTime" class="mention hashtag" rel="nofollow noopener" target="_blank">#TVCaptionTime</a> <a href="https://mstdn.social/tags/LondonNewsNetwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#LondonNewsNetwork</a> <a href="https://mstdn.social/tags/LNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#LNN</a> <a href="https://mstdn.social/tags/LondonWeekendTelevision" class="mention hashtag" rel="nofollow noopener" target="_blank">#LondonWeekendTelevision</a> <a href="https://mstdn.social/tags/LWT" class="mention hashtag" rel="nofollow noopener" target="_blank">#LWT</a>

Antarctica BroadcastingLondon News Network Production for LWT caption (1994).<a href="https://mstdn.social/tags/TVCaptionTime" class="mention hashtag" rel="nofollow noopener" target="_blank">#TVCaptionTime</a> <a href="https://mstdn.social/tags/LondonNewsNetwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#LondonNewsNetwork</a> <a href="https://mstdn.social/tags/LNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#LNN</a> <a href="https://mstdn.social/tags/LondonWeekendTelevision" class="mention hashtag" rel="nofollow noopener" target="_blank">#LondonWeekendTelevision</a> <a href="https://mstdn.social/tags/LWT" class="mention hashtag" rel="nofollow noopener" target="_blank">#LWT</a>

Antarctica BroadcastingLondon News Network Production for Carlton caption. (1994).<a href="https://mstdn.social/tags/TVCaptionTime" class="mention hashtag" rel="nofollow noopener" target="_blank">#TVCaptionTime</a> <a href="https://mstdn.social/tags/CarltonTelevision" class="mention hashtag" rel="nofollow noopener" target="_blank">#CarltonTelevision</a> <a href="https://mstdn.social/tags/LondonNewsNetwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#LondonNewsNetwork</a> <a href="https://mstdn.social/tags/LNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#LNN</a>

Zeitgeisty Aphorisms<a href="https://mastodon.social/tags/attack" class="mention hashtag" rel="tag">#attack</a> is <a href="https://mastodon.social/tags/counterattack" class="mention hashtag" rel="tag">#counterattack</a> of <a href="https://mastodon.social/tags/LNN" class="mention hashtag" rel="tag">#LNN</a>.

Joseph A di PaolantonioI also need to be researching and writing more about multi-modal <a href="https://mastodon.social/tags/causal" class="mention hashtag" rel="tag">#causal</a> <a href="https://mastodon.social/tags/DigitalTwins" class="mention hashtag" rel="tag">#DigitalTwins</a> in these contexts, especially with the advent of liquid neural networks <a href="https://mastodon.social/tags/LNN" class="mention hashtag" rel="tag">#LNN</a> within the realm of truly <a href="https://mastodon.social/tags/Bayesian" class="mention hashtag" rel="tag">#Bayesian</a> neural networks using empirical Bayes and weighted Bayesian variables for a priori similarity of engineering and technical parameters expressed as directed acyclic graphs <a href="https://mastodon.social/tags/DAG" class="mention hashtag" rel="tag">#DAG</a> within the digital twins of the <a href="https://mastodon.social/tags/SensAE" class="mention hashtag" rel="tag">#SensAE</a> and interactions/dependencies of neighboring sensor analytics ecosystems

Svenssons NyheterTräden i svenska städer Vilka träd som är vanliga i svenska parker och alléer varierar från stad till stad. I Stockholm är de vanligaste träden lönn, oxel och björk. Göteborg har en helt annan sammansättning vad det gäller parkträden med parklind som det överlägset vanligaste trädet och därefter alm och vanlig lind. Malmö har en betydlig större blan <a href="https://blog.zaramis.se/2023/08/12/traden-i-svenska-stader/" rel="nofollow noopener" target="_blank">https://blog.zaramis.se/2023/08/12/traden-i-svenska-stader/</a> <a href="https://mastodon.nu/tags/Gteborg" class="mention hashtag" rel="nofollow noopener" target="_blank">#Gteborg</a> <a href="https://mastodon.nu/tags/Malm" class="mention hashtag" rel="nofollow noopener" target="_blank">#Malm</a> <a href="https://mastodon.nu/tags/Stockholm" class="mention hashtag" rel="nofollow noopener" target="_blank">#Stockholm</a> <a href="https://mastodon.nu/tags/Gatutrd" class="mention hashtag" rel="nofollow noopener" target="_blank">#Gatutrd</a> <a href="https://mastodon.nu/tags/Lind" class="mention hashtag" rel="nofollow noopener" target="_blank">#Lind</a> <a href="https://mastodon.nu/tags/Lnn" class="mention hashtag" rel="nofollow noopener" target="_blank">#Lnn</a> <a href="https://mastodon.nu/tags/Oxel" class="mention hashtag" rel="nofollow noopener" target="_blank">#Oxel</a> <a href="https://mastodon.nu/tags/Parker" class="mention hashtag" rel="nofollow noopener" target="_blank">#Parker</a> <a href="https://mastodon.nu/tags/Parktrd" class="mention hashtag" rel="nofollow noopener" target="_blank">#Parktrd</a> <a href="https://mastodon.nu/tags/Stadstrd" class="mention hashtag" rel="nofollow noopener" target="_blank">#Stadstrd</a>

Joseph A di PaolantonioThis Toot by <a href="https://mastodon.social/@RuthMalan" class="u-url mention">@RuthMalan</a> makes me wonder how <a href="https://mastodon.social/tags/ML" class="mention hashtag" rel="tag">#ML</a> <a href="https://mastodon.social/tags/DL" class="mention hashtag" rel="tag">#DL</a> and if we ever see it <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="tag">#AI</a> <a href="https://mastodon.social/tags/reliability" class="mention hashtag" rel="tag">#reliability</a> in the context of <a href="https://mastodon.social/tags/SystemRisk" class="mention hashtag" rel="tag">#SystemRisk</a> is handled. In 1982, <a href="https://mastodon.social/tags/SoftwareQuality" class="mention hashtag" rel="tag">#SoftwareQuality</a> was being standardized. But throughout the 80s, we weren’t sure how to incorporate software predictive system models for risk, safety, reliability and maintainability. How is this addressed now for things like <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="tag">#LLM</a> <a href="https://mastodon.social/tags/GPT" class="mention hashtag" rel="tag">#GPT</a> and <a href="https://mastodon.social/tags/LNN" class="mention hashtag" rel="tag">#LNN</a> (liquid neural networks)? <a href="https://mastodon.social/@RuthMalan/110827948193488504" target="_blank" rel="nofollow noopener" translate="no">https://mastodon.social/@RuthMalan/110827948193488504</a>

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