📱 Edge AI

Model Quantization, ONNX Runtime, Embedded Inference, TinyML

Claude as a physicist
anjor.xyz·8h·
Discuss: r/ClaudeAI
💬Prompt Engineering
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Show HN: I built an edge ML system to detect and classify trick-or-treaters
basecase.vc·2d·
Discuss: Hacker News
👁️Computer Vision
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Show HN: Kumi – a portable, declarative, functional core for business logic
kumi-play-web.fly.dev·16h·
Discuss: Hacker News
🔗Dependent Types
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The Death of Traditional QA (Or: "AI Everywhere " Reaches SQA)
functionize.com·1d·
Discuss: Hacker News
🎭Program Synthesis
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Hybrid-Attention models are the future for SLMs
inference.net·2d·
Discuss: Hacker News
💬Natural Language Processing
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The 5 FREE Must-Read Books for Every LLM Engineer
kdnuggets.com·22h
💬Prompt Engineering
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Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering
arxiv.org·2d
🔬Deep Learning
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Neural Green's Functions
arxiv.org·1d
🎯Reinforcement Learning
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Tiny GenBI: Lightweight Agent for business analysis
github.com·12h·
Discuss: Hacker News
🔥DataFusion
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Trust in the Machine: Building Reputable Service Networks for AI Agents
dev.to·2d·
Discuss: DEV
🛡️AI Security
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Silenced Biases: The Dark Side LLMs Learned to Refuse
arxiv.org·6h
💬Prompt Engineering
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Unlock Multi-Domain NLP: Adapt Pre-trained Models Without the Heavy Lifting
dev.to·2h·
Discuss: DEV
💬Natural Language Processing
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Daily Artificial Intelligence Digest - Nov 04, 2025
dev.to·2d·
Discuss: DEV
🛡️AI Security
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LGCC: Enhancing Flow Matching Based Text-Guided Image Editing with Local Gaussian Coupling and Context Consistency
arxiv.org·1d
💬Prompt Engineering
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How AI is Revolutionizing Malware Detection in Modern Software Systems
dev.to·20h·
Discuss: DEV
🦠Malware Analysis
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Managing long contexts in agentic coding systems
cto.new·18h·
Discuss: Hacker News
💬Prompt Engineering
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How does AI infrastructure and automation reshape data centers?
dev.to·7h·
Discuss: DEV
🤖Automation
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The rise of ‘Slow AI’: Why devs should stop speedrunning stupid
dev.to·5h·
Discuss: DEV
💬Prompt Engineering
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Tech With Tim: Build a Python AI Agent in 10 Minutes
dev.to·17h·
Discuss: DEV
💬Prompt Engineering
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Shrinking the Variance: Shrinkage Baselines for Reinforcement Learning with Verifiable Rewards
arxiv.org·6h
🎯Reinforcement Learning
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