Researchers explore machine learning to automate early modern text transcription ethically
phys.org·10h
📜Digital Philology
RGB Pre-Training Enhanced Unobservable Feature Latent Diffusion Model for Spectral Reconstruction
arxiv.org·23h
🧠Machine Learning
The current technology is not ready for proper blending
blog.pkh.me·7h·
Discuss: Lobsters, Hacker News
🌈Color Science
Information modeling example: Call sheet
disruptivearchitecture.info·20h
🚚Data Migration
New Community of Practice for Exploring Content Provenance and Authenticity in the Age of AI
blogs.loc.gov·1d
📚MARC Archaeology
Browsers battle over PDF capabilities
pdfa.org·1d
📋Document Standards
Machine Learning Fundamentals: dimensionality reduction tutorial
dev.to·1d·
Discuss: DEV
📐Vector Dimensionality
A Neural Net For a Graphing Calculator?
hackaday.com·1d
🤖Advanced OCR
Pathology-oriented multiplexing enables integrative disease mapping
nature.com·13h
📄Document Digitization
Preserving the Irreplaceable: Why Oversized Digitization Matters More Than Ever
andersonarchival.com·9h
📄Document Digitization
Topology Meets Machine Learning
ams.org·14h·
Discuss: Hacker News
🧠Machine Learning
How AI Detects Cancer in Whole Slide Images
hackernoon.com·2d
🧠Machine Learning
Gain a Better Understanding of Computer Vision: Dynamic SOLO (SOLOv2) with TensorFlow
towardsdatascience.com·9h
📊Learned Metrics
Advancing Retrieval-Augmented Generation for Structured Enterprise and Internal Data
arxiv.org·1d
🔍Information Retrieval
Billions of Tokens Later: Scaling LLM Fuzzing in Practice
gusarich.com·8h·
Discuss: Hacker News
🧪Protocol Fuzzing
Semantic-guided Fine-tuning of Foundation Model for Long-tailed Visual Recognition
arxiv.org·23h
📊Learned Metrics
H-Nets – The Future
goombalab.github.io·18h·
Discuss: Hacker News
📼Cassette Combinators
Machine Learning Fundamentals: dimensionality reduction with python
dev.to·1d·
Discuss: DEV
🧠Machine Learning
Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy
arxiv.org·23h
🧠Neural Codecs
[R] Paper recommendations?
reddit.com·8h·
Discuss: r/MachineLearning
🧠Machine Learning