The Dunhuang Culture ζ•¦η…Œζ–‡εŒ– Database
digitalorientalist.comΒ·1d
πŸ“œText Collation
Welcome to LIL’s Data.gov Archive Search
lil.law.harvard.eduΒ·23h
πŸ’ΎData Preservation
Neural Networks from Scratch in Python: Simpler Than You Think
hamza.seΒ·23hΒ·
Discuss: Hacker News
πŸ“ŠQuantization
The Framework That Survives Bad Models: Human-AI Collaboration For Clinical Trials
arxiv.orgΒ·2d
🧠Machine Learning
Gaze on the Prize: Shaping Visual Attention with Return-Guided Contrastive Learning
arxiv.orgΒ·1d
πŸ“ŠLearned Metrics
Stress-Testing Model Specs Reveals Character Differences among Language Models
arxiv.orgΒ·1d
πŸ“‹Document Grammar
Streamlining Operations: The Role of AI-Powered Automation in Modern Enterprises
dev.toΒ·13hΒ·
Discuss: DEV
🌊Stream Processing
Contrastive Weak-to-strong Generalization
arxiv.orgΒ·1d
β§—Information Bottleneck
A Systematic Evaluation of Self-Supervised Learning for Label-Efficient Sleep Staging with Wearable EEG
arxiv.orgΒ·1d
🧠Machine Learning
Nearest Neighbor CCP-Based Molecular Sequence Analysis
arxiv.orgΒ·1d
πŸ”„Burrows-Wheeler
πŸš€ From Rejection to Reinvention: How I Built an AI That Finds My Jobs
dev.toΒ·14hΒ·
Discuss: DEV
πŸ‡¨πŸ‡³Chinese Computing
Kurzgesagt - In a Nutshell: AI Slop Is Destroying The Internet
dev.toΒ·11hΒ·
Discuss: DEV
πŸ—œοΈLZW Variants
The Hidden Oracle Inside Your AI: Unveiling Data Density with Latent Space Magic by Arvind Sundararajan
dev.toΒ·2dΒ·
Discuss: DEV
🧠Machine Learning
Real-Time OCT Angiography Enhancement via Adaptive Spectral Filtering and Dynamic Range Optimization
dev.toΒ·5hΒ·
Discuss: DEV
πŸ”¬Optical Physics
Evaluating Small Vision-Language Models on Distance-Dependent Traffic Perception
arxiv.orgΒ·1d
🧠Machine Learning
Adaptive Kernel Regression with Spatio-Temporal Context for Real-Time Object Tracking in Aerial Imagery
dev.toΒ·3hΒ·
Discuss: DEV
πŸŒ€Differential Geometry
The rapidly evolving field of artificial intelligence has le
dev.toΒ·1dΒ·
Discuss: DEV
🧭Content Discovery
Activation Alchemist: Sculpting Stability with Functional Signatures
dev.toΒ·23hΒ·
Discuss: DEV
πŸ”Concolic Testing
SliceFine: The Universal Winning-Slice Hypothesis for Pretrained Networks
arxiv.orgΒ·1d
🧠Neural Codecs