aicoder
amen zwa, esq.I recently chanced upon the paper, "Deep, Differentiable Logic Gate Networks", Petersen (2022). It describes the Logical Neural Network, whose neurons are 2-input, 1-output #logic gates. The whole network is but a #combinational #circuit, so the trained network can readily be synthesised on #FPGA. Fancy that! And given the simplicity and sparsity of an FPGA-borne LNN, it runs a couple of orders of magnitude faster than a GPU-borne DNN, and consumes an order of magnitude less power, yet able to attain a comparable task accuracy.
https://arxiv.org/pdf/2210.08277
The seminal paper on LNN is this: "Logical Neural Networks", Riegel (2020).
https://arxiv.org/pdf/2006.13155
This paper below, "Logic Neural Networks for Efficient FPGA Implementation", Ramírez (2024), is a good companion paper to read, too.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10746856
NB—The Logical Neural Network #LNN is not related to the Binary Neural Network #BNN. The BNN is a binarised (read, "crude") approximation of a conventional, real-valued DNN (yielding 1-bit activations and weights). The LNN, in contrast, has no weights at all on the wires that connect the gates and the activation functions are the inherently non-linear logic operations.
Paolo Fabio Zaino ☮️🌍💻🎸🎮☕️🍩🍕🚨 New post about the cybersecurity challenges of adopting or implementing AI based on Liquid Neural Networks.
Check it out here:
🔗 https://paolozaino.wordpress.com/2025/02/11/ai-the-security-challenges-of-liquid-neural-networks/
#TechNews #AI #LNN #CyberSecurity #DeepLearning #Rust #ArtificialIntelligence #MachineLearning #AIResearch #NeuralNetworks #TechBlog #AICommunity #AIApplications #AIInnovation #AITrends #AIInsights #AIAdvancements #zLNN
After receiving so many questions about my #zLNN and how #LiquidNeuralNetworks work, I’ve decided to start publishing articles to help people better understand LNNs. Check the first one out here:
#AI #ArtificialIntelligence #MachineLearning #DeepLearning #LNN #LiquidAI #LiquidNeuralNetwork #Rust
Zoomers of the Sunshine Coast 🇨🇦AlphaProteo generates novel
proteins for biology and health research
On Apple Podcasts
https://podcasts.apple.com/ca/podcast/heliox-where-evidence-meets-empathy/id1769969487?i=1000673161642
Heliox Podcast ( subscribe so you do not miss an episode )
https://podcasts.apple.com/ca/podcast/heliox-where-evidence-meets-empathy/id1769969487
Subscribe to "Heliox" on your favourite podcast provider.
#LNN #LiquidNeuralNetworks #RaminHasani #DanielaRus #AI #Recognition #Compensation #Durability #Economics #NewEconomy #Dynamic #ML
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 #SOTA models...
Antarctica BroadcastingLondon News Network/Carlton end caption (1998).
🎉 I've have prepared a comprehensive presentation page for my #zLNN (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:
https://tinyurl.com/bdd7zknm
Feedback welcome!
#MachineLearning #AI #NeuralNetworks #RustLang #TechInnovation #DeepLearning #TechUpdates #ArtificialIntelligence #Coding #DeveloperCommunity #OpenSource #Cybersecurity #LNN
zLNN: Zed Liquid Neural Network – accelerated LNN in Rust for performance, safety and improved precision
Experience dynamic neural networks that adapt in real-time, optimized for CPU, GPU, and FPGA. Built with Rust for memory safety and fortified with top-tier security, zLNN offers powerful, secure, a…
London News Network Production for LWT caption.
#TVCaptionTime
#LondonNewsNetwork
#LNN
#LondonWeekendTelevision
#LWT
London News Network/Carlton caption (1998).
