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🔧 Reed-Solomon Decoding

Error Correction, Polynomial Interpolation, Galois Field Operations, Syndrome Calculation

Donkey Kong Country 2 and Open Bus
jsgroth.dev·6h
🎮GameBoy Architecture
In the Wild: Malware Prototype with Embedded Prompt Injection
research.checkpoint.com·11h
🦠Malware Analysis
Kumo Surfaces Structured Data Patterns Generative AI Misses
thenewstack.io·9h
📊Graph Databases
Ask HN: Feedback on "QSS" – A Quantized Vector Search Engine in C
news.ycombinator.com·2d·
Discuss: Hacker News
🗂️Vector Databases
Building a Language Server
bullno1.com·2d·
Discuss: Hacker News, r/programming
🗣️Domain-Specific Languages
High-order adaptive multi-domain time integration scheme for microscale lithium-ion batteries simulations
arxiv.org·19h
⚙️Tape Engineering
4-input 2-output Boolean circuits (2020)
cp4space.hatsya.com·1d·
Discuss: Hacker News
⚙️Logic Synthesis
Small language model for secrets detection
wiz.io·2d·
Discuss: Hacker News
💻Local LLMs
Deep Dive into Databend UDF, implementing your data solutions with python, WASM and beyond
dev.to·4h·
Discuss: DEV
📋DFDL
The Power of Strong Linearizability: the Difficulty of Consistent Refereeing
arxiv.org·1d
🎯Performance Proofs
Quantum-Classical Hybrid Quantized Neural Network
arxiv.org·1d
📊Quantization
Compbolt: A lib with a hard to misuse API (based on Matt Godbolt)
github.com·14h·
Discuss: Hacker News
🌀Brotli Internals
Contextualizing SUTRA: Advancements in Multilingual & Efficient LLMs
hackernoon.com·7h
💻Local LLMs
The Quantum Paradox of Trust: Why We Will Rely on Computers That Are Built to Fail
dev.to·1d·
Discuss: DEV
⚛️Quantum Error Correction
SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
arxiv.org·1d
⚡Modern Compression
FedNAMs: Performing Interpretability Analysis in Federated Learning Context
arxiv.org·1d
🧠Machine Learning
Plan for Speed -- Dilated Scheduling for Masked Diffusion Language Models
arxiv.org·19h
💻Local LLMs
No pre-filtering in pgvector means reduced ANN recall
dev.to·1d·
Discuss: DEV
🗂️Vector Databases
UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation
arxiv.org·19h
🧠Machine Learning
Quantizing for Noisy Flash Memory Channels
arxiv.org·1d
🛡️Preservation Proofs
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