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πŸ€– Manuscript AI

Paleographic Recognition, Historical OCR, Deep Learning, Digital Humanities

Silicon Valley has entered its superstar engineer era
freethink.comΒ·10h
πŸ—ΊοΈCompetency Maps
Show HN: FigForm – Feel the power of Figma when creating customized forms
figform.ioΒ·15hΒ·
Discuss: Hacker News
πŸ¦‹Format Metamorphosis
AI whiplash, and Neovim in the age of AI
dlants.meΒ·1dΒ·
Discuss: Hacker News, r/neovim
✨Effect Handlers
Implementing Input Masking and Padding in TensorFlow Keras Models
hackernoon.comΒ·6h
🧠Learned Compression
Over 30 AI models have been trained at 10^25 FLOP or greater
epoch.aiΒ·2dΒ·
Discuss: Hacker News
⚑Performance Mythology
Dual-Numbers Reverse AD for Functional Array Languages
arxiv.orgΒ·19h
πŸ“ŠAPL Heritage
Site-Level Fine-Tuning with Progressive Layer Freezing: Towards Robust Prediction of Bronchopulmonary Dysplasia from Day-1 Chest Radiographs in Extremely Preter...
arxiv.orgΒ·1d
πŸ“„Document Digitization
Creating an AI Study Buddy Assistant with Google AI Studio
dev.toΒ·17hΒ·
Discuss: DEV
⚑Proof Automation
How We Built Our Internal E-E-A-T Content Analyzer with Froala
dev.toΒ·1dΒ·
Discuss: DEV
🌳Incremental Parsing
LightRag (Upgraded) + Multimodal RAG Just Revolutionized AI Forever
dev.toΒ·6dΒ·
Discuss: DEV
πŸ€–Archive Automation
Improving Drug Identification in Overdose Death Surveillance using Large Language Models
arxiv.orgΒ·19h
🧠Machine Learning
Evaluating generative AI models with Amazon Nova LLM-as-a-Judge on Amazon SageMaker AI
aws.amazon.comΒ·1d
🧠Intelligence Compression
The Power of Certainty: How Confident Models Lead to Better Segmentation
arxiv.orgΒ·3d
🧠Machine Learning
A parametric activation function based on Wendland RBF
arxiv.orgΒ·2d
🧠Machine Learning
Advanced PDF Optimization Techniques - 1752655
dev.toΒ·2dΒ·
Discuss: DEV
πŸ“„PDF Archaeology
Mitigating Object Hallucinations via Sentence-Level Early Intervention
arxiv.orgΒ·1d
πŸ‘‚Psychoacoustic Coding
GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models
arxiv.orgΒ·1d
πŸ“ŠLearned Metrics
ExpStar: Towards Automatic Commentary Generation for Multi-discipline Scientific Experiments
arxiv.orgΒ·3d
πŸ›Digital humanities
Machine Learning Fundamentals: dropout example
dev.toΒ·8hΒ·
Discuss: DEV
🌊Streaming Systems
Continental scale habitat modelling with artificial intelligence and multimodal earth observation
arxiv.orgΒ·3d
πŸ”ΆVoronoi Diagrams
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