🤖 Manuscript AI

Paleographic Recognition, Historical OCR, Deep Learning, Digital Humanities

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LLM & AI Agent Applications with LangChain and LangGraph — Part 4 — Components of GPT
pub.towardsai.net·1h
🤖Grammar Induction
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eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
dev.to·6h·
Discuss: DEV
⟷Bidirectional Programming
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AI Has Made it Easy to Own Your Tools
jimmyhmiller.github.io·1d
🤖Archive Automation
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AI assisted feature detection and LiDAR in archaeological heritage management [Elektronisk resurs]
libris.kb.se·6d
🏺Computational Archaeology
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The art of text (rendering) (39c3)
cdn.media.ccc.de·14h
🖋Typography
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Retrotechtacular: IBM’s The World of OCR
hackaday.com·1d
📄OCR
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SearchResearch (12/24/25): Living in an AI world that kinda, sorta works for OCR
searchresearch1.blogspot.com·3d·
Discuss: searchresearch1.blogspot.com
👁️OCR Evolution
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Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition
dev.to·16h·
Discuss: DEV
🤖Advanced OCR
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Document Parsing with LLMs: From OCR to Structural Understanding.
alamedadev.com·3d
📋Document Grammar
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Natural language processing for word sense disambiguation and information extraction
arxiv.org·21h·
Discuss: r/compsci
📥Feed Aggregation
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Self-Supervised Temporal Pattern Mining for circular manufacturing supply chains with embodied agent feedback loops
dev.to·8h·
Discuss: DEV
🌊Stream Processing
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I built an AI app for deep research, reverse image search, and price comparison
apps.apple.com·3d·
Discuss: Hacker News
🤖AI Curation
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Building an AI Document Processing Pipeline on AWS (Textract + Bedrock)
dev.to·16h·
Discuss: DEV
🔄Archival Workflows
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Deep Kronecker Network
arxiv.org·3d
🧠Machine Learning
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Building an Intelligent Resume Transformation Agent Powered by LangGraph and gpt-4o-mini
pub.towardsai.net·1h
🤖Archive Automation
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The Transformer Architecture: A Deep Dive into How LLMs Actually Work
dev.to·9h·
Discuss: DEV
📝Text Parsing
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Deep Convolutional Networks on Graph-Structured Data
paperium.net·2d·
Discuss: DEV
📊Spectral Graphs
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The History Began from AlexNet: A Comprehensive Survey on Deep LearningApproaches
dev.to·9h·
Discuss: DEV
👁️OCR Evolution
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Stanford CS 224N | Natural Language Processing with Deep Learning
web.stanford.edu·1d
🧠Machine Learning
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Building an AI-Powered Engine for Traditional Color Preservation
dev.to·2d·
Discuss: DEV
🌈Color Archaeology
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