What happened to the first track in iTunes?
rubenerd.com·1d
💿FLAC Archaeology
Dead Zone Dragging
steveruiz.me·1d·
Discuss: Hacker News
✋Tactile Computing
Why It’s Taking LA So Long to Rebuild After the Wildfires
wired.com·1d
🌳Archive Merkle Trees
Analyzing Live Social Data: Exploring Social Trends on Bluesky
materialize.com·4d·
Discuss: Hacker News
📰RSS Archaeology
Run 15 Niche Accounts Without Flags, Boost Monthly Pledges by 2.5x
news.ycombinator.com·1d·
Discuss: Hacker News
🔄Sync Engine
How to Delete All of Your Social Media Accounts: Instagram, X, Facebook, TikTok, and More
wired.com·1d
🏠Personal Archives
Discussing Decision Trees: What Makes a Good Split?
machinelearningmastery.com·5d
🌳Huffman Trees
[$] How to write Rust in the kernel: part 3
lwn.net·2d
🔩Systems Programming
Swipe Clean – Clean up storage iOS app
apps.apple.com·1d·
Discuss: Hacker News
🍎Apple Archive
Simulation as Supervision: Mechanistic Pretraining for Scientific Discovery
arxiv.org·5d
🔲Cellular Automata
Can We Control the Economy Once Machines Take the Wheel?
hackernoon.com·2d
🇩🇪German Computing
EV-STLLM: Electric vehicle charging forecasting based on spatio-temporal large language models with multi-frequency and multi-scale information fusion
arxiv.org·5d
🧠Machine Learning
'Special moment' - Scheffler wins The Open
bbc.com·2h
🕸️Algebraic Topology
Is There Any MEV Left on Algorand? An Empirical Study on Time-Constrained Arbitrage
hackernoon.com·5d
🔍BitFunnel
EME-TTS: Unlocking the Emphasis and Emotion Link in Speech Synthesis
arxiv.org·3d
⚙️Compression Benchmarking
FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise
arxiv.org·4d
🧠Machine Learning
Top 5 Mobile App Development Trends You Can’t Ignore in 2025
dev.to·11h·
Discuss: DEV
🔌Interface Evolution
Trying to Run AI on Low-End Devices? Here’s What We Learned
dev.to·3d·
Discuss: DEV
🌀Brotli Internals
Leveraging Pre-Trained Visual Models for AI-Generated Video Detection
arxiv.org·2d
📊Learned Metrics
Learning to Quantize and Precode in Massive MIMO Systems for Energy Reduction: a Graph Neural Network Approach
arxiv.org·4d
📊Quantization