Gregory Porter's songs will break your heart and heal it too
abc.net.au·14h
🎵Music Universality
Would your speech make a professional’s top 10?
ft.com·10h
🗣️CMU Pronouncing
Split a Multi-page TIFF Into Separate Files
shallowsky.com·12h
📸TIFF Evolution
PipeWire 1.4.9 Fixes Audio Regression and Improves ALSA Recovery
linuxiac.com·3d
🎵Audio Streaming
This Is Un-American
nytimes.com·20h
🛡Cybersecurity
How to User Sound Sensors with Arduino - Lesson #11
hackster.io·2h
🎵Gameboy Sound
Pros & cons: Does the iPhone Air have a future?
heise.de·19h
🍎Apple Computing
Why it took 4 years to get a lock files specification
snarky.ca·1d·
Discuss: Lobsters, Hacker News, Hacker News
🔄Language Evolution
Nobel Laureate backs Cambridge-based crowdfunding effort to digitize 100,000 hours of recordings from some of the brightest minds in human history
techradar.com·6d
💾Data Preservation
Defeating Return Type Polymorphism
philipphagenlocher.de·3d·
Discuss: Hacker News
🧬Functional Programming
Stress-Testing Model Specs Reveals Character Differences among Language Models
arxiv.org·2d
📋Document Grammar
[R] How to retrieve instructions given to annotators - RLHF
reddit.com·2d·
Discuss: r/MachineLearning
📚Documentation Archaeology
AsyncSpade: Efficient Test-Time Scaling with Asynchronous Sparse Decoding
arxiv.org·2d
⚙️Compression Benchmarking
Know Audio: Distortion Part Two
hackaday.com·5d
🌈Spectral Audio
You Have Been LaTeXpOsEd: A Systematic Analysis of Information Leakage in Preprint Archives Using Large Language Models
arxiv.org·5d·
Discuss: Hacker News
🦠Parasitic Archives
Homomorphism Problems in Graph Databases and Automatic Structures
arxiv.org·2d
🔗Graph Isomorphism
From Keywords to Clusters: AI-Driven Analysis of YouTube Comments to Reveal Election Issue Salience in 2024
arxiv.org·2d
📊Feed Optimization
Making Machines Sound Sarcastic: LLM-Enhanced and Retrieval-Guided Sarcastic Speech Synthesis
arxiv.org·3d
🎙️Whisper
Enhancing Synthetic Data Generation via Adaptive Kernel Density Estimation with Bayesian Optimization
dev.to·3d·
Discuss: DEV
🧠Machine Learning
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
📊Multi-vector RAG