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📸 TIFF Archaeology

Image Format Evolution, Metadata History, Tag Structure, Compression Variants

Fusing Cheap eBay Find Into a Digital Rangefinder
hackaday.com·2h
📼Cassette Archaeology
From Minecraft to Markets: Java Hiding in Plain Sight
freebsdfoundation.org·1d
🎮Switch Archaeology
New Community of Practice for Exploring Content Provenance and Authenticity in the Age of AI
blogs.loc.gov·5d
📚MARC Archaeology
Building a Plain Seq2Seq Model for Language Translation
machinelearningmastery.com·1d
📝Text Compression
Exploring possible solutions to the inconsistency in how Windows searches case-insensitively for named resources
devblogs.microsoft.com·8h
🏺Format Archaeology
Tailscale: The State of Zero Trust
tailscale.com·12h·
Discuss: Hacker News
🌐Network Security
The unsolved tension at the heart of AI
tushardadlani.com·15h·
Discuss: Hacker News
🔲Cellular Automata
Study translates fragmentary ancient Sumerian myth around 4,400 years old
phys.org·1d
📰RSS Archaeology
GhostLayer - AI Text Humanization - My first app launching
dev.to·7h·
Discuss: DEV
🎙️Whisper
Obsolescence Guaranteed
obsolescence.dev·8h·
Discuss: Hacker News
📟Vintage Protocols
Dutch CrowS-Pairs: Adapting a Challenge Dataset for Measuring Social Biases in Language Models for Dutch
arxiv.org·18h
🇸🇪Nordic Algorithms
Advanced PDF Optimization Techniques - 1753109
dev.to·2d·
Discuss: DEV
📝Text Compression
Benchmarking pig detection and tracking under diverse and challenging conditions
arxiv.org·18h
🤖Advanced OCR
Aging and the Narrowing of Scientific Innovation
arxiv.org·18h
📊Citation Graphs
A generic non-invasive neuromotor interface for human-computer interaction
nature.com·6h·
Discuss: Hacker News
✋Tactile Computing
True Multimodal In-Context Learning Needs Attention to the Visual Context
arxiv.org·1d
📊Learned Metrics
ReDiSC: A Reparameterized Masked Diffusion Model for Scalable Node Classification with Structured Predictions
arxiv.org·1d
🧠Machine Learning
Final S21 CCTV Spotlight Session – What We’ve Covered
forensicfocus.com·9h
⏱️SMPTE Timecode
APIs as a product: Investing in the current and next generation of technical contributors
diff.wikimedia.org·1d
🌀Brotli Internals
Machine Learning Fundamentals: feature engineering project
dev.to·5h·
Discuss: DEV
🧠Machine Learning
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