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🛡️ Preservation Logic

Formal Archival, Storage Proofs, Media Verification, Durability Models

Electric car: Subaru presents Uncharted, Solterra and E-Outback models
heise.de·4h
🔌Operating system internals
Highlights and features: Q&A with Experts
ica.org·1d
🔄Archival Workflows
Decay of antimatter solves physics puzzle: Why observation is important
heise.de·8h
⚛️Quantum Tape
Near-cryogenic direct air capture using adsorbents
pubs.rsc.org·2d·
Discuss: Hacker News
🌡️Preservation Physics
RFC 7711 - PKIX over Secure HTTP (POSH)
datatracker.ietf.org·5d
🌐DNS Security
What people said about an OpenZFS bug
despairlabs.com·2d·
Discuss: Lobsters, Hacker News
🔒Type Safety
A Neural Net For a Graphing Calculator?
hackaday.com·1d
🤖Advanced OCR
AI for Explosive Ordnance Detection in Clearance Operations: The State of Research
arxiv.org·1d
🎯Threat Hunting
SIEVE: Effective Filtered Vector Search with Collection of Indexes
arxiv.org·1d
🗂️Vector Databases
5 Essential Python Design Patterns for Scalable and Efficient Code
dev.to·6h·
Discuss: DEV
🧩WASM Components
Overcoming catastrophic forgetting in neural networks
arxiv.org·3d
🧠Machine Learning
Ask HN: Would you use a serverless, pay-per-second model for AI inference?
news.ycombinator.com·3h·
Discuss: Hacker News
🌊Streaming Algorithms
It’s Not What You Pay, It’s How Fast You Play: A History of MEV
hackernoon.com·3d
🖥️Terminal Renaissance
FADE: Adversarial Concept Erasure in Flow Models
arxiv.org·1d
📊Rate-Distortion Theory
kubriX: Out of the Box Internal Developer Platform (IDP) for Kubernetes
reddit.com·1d·
Discuss: r/kubernetes
🏺ZIP Archaeology
Data Fusion and Aggregation Methods to Develop Composite Indexes for a Sustainable Future
arxiv.org·3d
🧠Query Planners
Boffins detail new algorithms to losslessly boost AI perf by up to 2.8x
theregister.com·1d·
Discuss: Hacker News
💻Local LLMs
Machine Learning Fundamentals: dropout tutorial
dev.to·5h·
Discuss: DEV
👁️Observatory Systems
Python Fundamentals: cassandra-driver
dev.to·10h·
Discuss: DEV
🔀CRDT
From Neural Network Frustration to Mathematical Innovation
dev.to·14h·
Discuss: DEV
🧠Machine Learning
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