SMT Solving, Constraint Programming, Automated Reasoning, Formal Verification

Read more: Swiss study reveals positive impact of bark beetles
swissinfo.ch·12h
🔢Denotational Semantics
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Exploring a space-based, scalable AI infrastructure system design
research.google·1d·
Discuss: Hacker News
🏠Homelab Federation
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OpenLoRa: Validating LoRa Implementations Through an Open-Sourced Framework
usenix.org·12h·
Discuss: Hacker News
📻Homebrew Protocols
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We need to give LLMs human-like vision
matml.bearblog.dev·1d·
💻Local LLMs
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Business AI with little training effort: SAP announces SAP-RPT-1
heise.de·2h
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
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A Practitioner's Guide to Kolmogorov-Arnold Networks
arxiviq.substack.com·3d·
Discuss: Substack
📊Quantization
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Relearning Packer: 4 Common Myths About Image Automation Debunked
hackernoon.com·16h
🤖Archive Automation
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Fix: externalizing network I/O in serverless computing
arxiv.org·1d·
Discuss: Hacker News
🌊Stream Processing
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Kubernetes Isn’t Your AI Bottleneck — It’s Your Secret Weapon
thenewstack.io·1d
📦Container Security
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Closing the AI Execution Gap in Cybersecurity — A CISO Framework
darkreading.com·7h
🛡Cybersecurity
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My CI/CD bot fixed production while I slept until it didn’t
dev.to·19h·
Discuss: DEV
🤖Network Automation
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Building a Production-Ready AI-Powered Robo-Advisor: From Concept to Cloud Deployment
dev.to·15h·
Discuss: DEV
🌊Streaming Systems
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It Doesn’t Need to Be a Chatbot
towardsdatascience.com·1d
🎙️Whisper
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Molecular Alchemy: AI-Powered Design of Novel Compounds by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
📐Mathematical Art
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Visual Backdoor Attacks on MLLM Embodied Decision Making via Contrastive Trigger Learning
arxiv.org·2d
🔲Cellular Automata
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LLM-Centric RAG with Multi-Granular Indexing and Confidence Constraints
arxiv.org·2d
🧠Learned Indexing
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🛡️ Fortify - AI-Powered Security Analysis Platform
dev.to·2d·
Discuss: DEV
Proof Automation
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Scaling Coding-Agent RL to 32x H100s. 160% Improvement on Stanford's TBench
github.com·2d·
⚔️Lean Tactics
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AI Workflow Integration: From Models to Methods, How Engineering Teams Will Change
dev.to·1d·
Discuss: DEV
🔄Language Evolution
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Phased DMD: Few-step Distribution Matching Distillation via Score Matching within Subintervals
arxiv.org·2d
🌀Fractal Compression
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