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🌊 Digital Signal Processing
Trained Dogs Detect Parkinson’s With 98% Accuracy
scitechdaily.com·7h
🎯Threat Hunting
Why using crude PWM for sampled audio output on the Raspberry Pi Pico doesn't sound that great
kevinboone.me·4d
🎛️Audio Synthesis
Tell Me Again About Neurons Now
science.org·6h·
Discuss: Hacker News
🧠Machine Learning
Inside The Box: Everything I Did with an Arduino Starter Kit
lopespm.com·2d·
Discuss: Hacker News
🔌Single Board PC
How TPMs Work and Why We Added Support in Bottlerocket
molnett.com·7h·
Discuss: Hacker News
🔒Hardware Attestation
Show HN: 1.5B LLM routing model that aligns to preferences, not leaderboards
huggingface.co·1h·
Discuss: Hacker News
📝ABNF Parsing
Benford's Law and the Ahlstrom Conjecture
jamesmccaffrey.wordpress.com·2d·
Discuss: Hacker News
🎯Arithmetic Coding Theory
I'm Switching to Python and Actually Liking It
cesarsotovalero.net·1d·
Discuss: Hacker News
🌀Brotli Internals
I Got into Deep Learning
vikas.sh·1d·
Discuss: Hacker News
🧠Machine Learning
Quantitative multi-metabolite imaging of Parkinson's disease using AI boosted molecular MRI
arxiv.org·1d
🧲Magnetic Resonance
Diffusion Decoding for Peptide De Novo Sequencing
arxiv.org·1d
🧮Kolmogorov Complexity
Understand AI parameters: Behind all modern LLMs
dev.to·1d·
Discuss: DEV
💻Local LLMs
A Practical Guide to Anomaly Detection in Python
dev.to·1d·
Discuss: DEV
🧠Machine Learning
StellarF: A Lora-Adapter Integrated Large Model Framework for Stellar Flare Forecasting with Historical & Statistical Data
arxiv.org·1d
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded Verification
arxiv.org·18h
📏Linear Logic
MediaMind AI - Intelligent Content Discovery Platform with Algolia MCP Server
dev.to·1d·
Discuss: DEV
🧭Content Discovery
Python Fundamentals: case
dev.to·9h·
Discuss: DEV
✅Format Verification
Globalization for Scalable Short-term Load Forecasting
arxiv.org·18h
📈Time Series
SIEVE: Effective Filtered Vector Search with Collection of Indexes
arxiv.org·18h
🗂️Vector Databases
CytoSAE: Interpretable Cell Embeddings for Hematology
arxiv.org·18h
🧠Machine Learning
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