sayzardPython Trending (@pythontrending)
AI 기반 캐릭터 애니메이션을 위한 파이썬 프레임워크 ai4animationpy가 소개됐다. 신경망을 활용해 캐릭터 동작을 생성·제어하는 도구로, 애니메이션 제작과 AI 크리에이티브 워크플로에 활용될 수 있다.
ma𝕏poolBeyond Silicon: Materials, Mechanisms, and Methods for Physical Neural Computing https://arxiv.org/abs/2604.09833
Stephen Moreton-HowellMy current #DotNetMAUI and #NeuralNetworks project: Design and train neural networks in #GoogleColab and transfer them to a cross-platform app using #ONNX. Follow my progress here:
Creating a Neural Network Based Mobile App with a Neural Network Designed and Trained in Google Colab | Stephen Moreton-Howell
Having done a masters degree in Artificial Intelligence and then switch my attention to writing cross-platform mobile apps, I want to drag it back to AI, while continuing to work on .NET MAUI. So I'm doing some experimental work creating and training neural networks in Python/Keras on Google Colab and then exporting them into .onnx files so they can be deployed into the .NET MAUI apps. Seeing what's possible before deciding what interesting NN based apps I might want to make.
Kimon Fountoulakis (@kfountou)
LLM에서의 추론 수학을 다룬 강연 영상이 소개되었으며, 신경망이 덧셈·곱셈과 알고리즘 지시를 정확히 수행하는 방법을 다루는 내용이다.
Kimon Fountoulakis (@kfountou) on X
Wow, what an honour @CsabaSzepesvari, thanks! "Math of Reasoning in LLMs, Session 11: Learning to Add, Multiply, and Execute Algorithmic Instructions Exactly with Neural Networks" https://t.co/lkQ0PrXRLK I watched all of it, and I really enjoyed it.
N-gated Hacker News🔥 Ah, yes, the classic "let's throw neural networks and #types in a blender and see what mess comes out" approach. 🤖✨ The article rambles on about separating training and typechecking like it's some groundbreaking revelation, when really, it's just playing code Jenga with fancy names like #Idris, #Lean, and #Agda. 🧩🔍
https://www.brunogavranovic.com/posts/2026-04-20-types-and-neural-networks.html #neuralnetworks #codeJenga #HackerNews #ngated
https://www.brunogavranovic.com/posts/2026-04-20-types-and-neural-networks.html #neuralnetworks #codeJenga #HackerNews #ngated
Hacker News🧠✨ Presenting Ternary Bonsai, because who needs more than 1.58 bits of intelligence? 🤖 After all, why aim for brains when you can just compress the living daylights out of your neural networks? 📉 Don't worry, the performance gain is totally "meaningful"—trust us!
https://prismml.com/news/ternary-bonsai #TernaryBonsai #AICompression #NeuralNetworks #PerformanceGain #TechHumor #HackerNews #ngated
https://prismml.com/news/ternary-bonsai #TernaryBonsai #AICompression #NeuralNetworks #PerformanceGain #TechHumor #HackerNews #ngated
Knowledge Zone#ITByte: #Liquid #NeuralNetworks (#LNNs) are a type of deep learning architecture that use dynamic connections between neurons to process time-series data.
“Liquid” neural nets, based on a worm’s nervous system, can transform their underlying algorithms on the fly, giving them unprecedented speed and adaptability.
https://knowledgezone.co.in/trends/browser?topic=Liquid-Neural-Network
anonchegTitle: P2: hackathon final conf, generative architectres [2024-05-31 Fri]
noise step by step and learn to remove this noise. After
training it can generate images from noise.
Now I am going to make demo about my experience in
hackathon that was huge. I will use Emacs ᕙ( •̀ _ •́ )ᕗ
Org mode, TigerVNC and some conference platform that will
allow to share screen and face at the same time. It is a
task from employer.
😶 #dailyreport #AI #neuralnetworks #nn
Title: P1: hackathon final conf, generative architectres [2024-05-31 Fri]
2) It is impossible to control GNN due to stochastic
nature. Clear data is required, this may be sintetic
data.
3) DPO Direct Performance Optimization - training on pairs
good/bad allow to speed up data labeling. https://arxiv.org/pdf/2305.18290
Today I have been readling about generative and diffusion
architectures 🤪. In short: DNN is a networks that add #dailyreport #AI #neuralnetworks #nn