How could curriculum in California schools change under the ‘science of reading’ bill?
mercurynews.com·17h
📄OCR
Linuxiac Weekly Wrap-Up: Week 33 (Aug 11 – 17, 2025)
linuxiac.com·6h
🔓Open Source Software
Far Out
nybooks.com·1d
🌡️Preservation Physics
LLM Found Transmitting Behavioral Traits to 'Student' LLM Via Hidden Signals in Data
slashdot.org·12h
🤖Grammar Induction
The Great Cognitive Handoff: How AI-Assisted Development Is Rewiring Civlization
zakelfassi.com·18m·
Discuss: Hacker News
🌍Cultural Algorithms
Writing an LLM from scratch - Tutorial series
gilesthomas.com·3d
💻Local LLMs
Analysis of the Compaction Behavior of Textile Reinforcements in Low-Resolution In-Situ CT Scans via Machine-Learning and Descriptor-Based Methods
arxiv.org·1h
🌀Differential Geometry
‘Are you asking for my help to be gay?’: what 40 years as a psychoanalyst has taught me about sex and desire
theguardian.com·1d
📡Information theory
Detecting and explaining postpartum depression in real-time with generative artificial intelligence
arxiv.org·3d
🎙️Whisper
Real-Time Micro-Movement Anomaly Detection for Stroke Rehabilitation via Spatio-Temporal Graph Convolutional Neural Networks
dev.to·21h·
Discuss: DEV
🌀Riemannian Computing
Data-Driven Abdominal Phenotypes of Type 2 Diabetes in Lean, Overweight, and Obese Cohorts
arxiv.org·1h
📐Vector Dimensionality
Temporally-Similar Structure-Aware Spatiotemporal Fusion of Satellite Images
arxiv.org·1h
👁️Perceptual Hashing
Apriel-Nemotron-15B-Thinker
arxiv.org·1h
💻Local LLMs
Automated Anomaly Detection in Exoplanetary Transit Lightcurves via Fourier-Phase Space Analysis
dev.to·13h·
Discuss: DEV
💿Optical Forensics
BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining
arxiv.org·1h
📊Learned Metrics
Training Kindai OCR with parallel textline images and self-attention feature distance-based loss
arxiv.org·5d
🤖Advanced OCR
Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception
arxiv.org·1h
📊Learned Metrics
Calibrated and uncertain? Evaluating uncertainty estimates in binary classification models
arxiv.org·1h
🧠Machine Learning
LLM Canvas: The Story Behind
dev.to·1d·
Discuss: DEV
🗣️Domain-Specific Languages
Model Interpretability and Rationale Extraction by Input Mask Optimization
arxiv.org·1h
📊Quantization