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🧠 Neural Architecture

Transformers, CNNs, Model Design, Deep Learning

EVs Lead 5 Vehicle Categories in California
cleantechnica.com·9h
🔌Embedded Systems
Using LLM Embeddings to Normalize User Data
matthodges.com·1d·
Discuss: Hacker News
📊Embeddings
Zuckerberg Says Superintelligent AI Is ‘Now in Sight’—Here’s Meta’s Unique Approach
finance.yahoo.com·21h
📱Edge AI
I'm currently learning C++, but I'm struggling to break down the learning path.
reddit.com·21h·
Discuss: r/cpp
⚙️LLVM
Task-based returns to generative AI: Evidence from a central bank
cepr.org·12h·
Discuss: Hacker News
📱Edge AI
Big tech has spent $155bn on AI this year. It's about to spend hundreds of billions more - The Guardian
news.google.com·1d
📱Edge AI
[R] From Taylor Series to Fourier Synthesis: The Periodic Linear Unit
reddit.com·1d·
Discuss: r/MachineLearning
🤖AI
Deep Dive into Transformer’s Attention: Scale, Mask, Dropout and More
dev.to·4d·
Discuss: DEV
📱Edge AI
Machine Learning Fundamentals: loss function example
dev.to·1d·
Discuss: DEV
🔄MLOps
The ONLY Data Science Roadmap You Need to Get a Job
towardsdatascience.com·3d
👁️Computer Vision
Exploiting Scale-Variant Attention for Segmenting Small Medical Objects
arxiv.org·2d
👁️Computer Vision
Simulating large systems with Regression Language Models
research.google·5d
🔄MLOps
Why Data Engineering Is the Backbone of AI Today
dev.to·2d·
Discuss: DEV
📱Edge AI
Why Multimodal LLMs Still Struggle with Video — And How AI Agents Can Help
hackernoon.com·2d
📱Edge AI
Language Arithmetics: Towards Systematic Language Neuron Identification and Manipulation
arxiv.org·3d
💬NLP
Machine Learning Fundamentals: logistic regression with python
dev.to·2d·
Discuss: DEV
🔄MLOps
Multi-Image Reference With Flux.1 Kontext: A Step-by-step Guide
dev.to·11h·
Discuss: DEV
🎥WebCodecs
A Dual-Feature Extractor Framework for Accurate Back Depth and Spine Morphology Estimation from Monocular RGB Images
arxiv.org·3d
👁️Computer Vision
X-NeMo: Expressive Neural Motion Reenactment via Disentangled Latent Attention
arxiv.org·2d
📱Edge AI
trAIce3D: A Prompt-Driven Transformer Based U-Net for Semantic Segmentation of Microglial Cells from Large-Scale 3D Microscopy Images
arxiv.org·3d
👁️Computer Vision
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