Viking silver hoard reveals far-reaching trade links between England and the Islamic world
phys.org·2d
🏰Medieval Networks
Experimental History | Adam Mastroianni | Substack
experimental-history.com·17h
🌐WARC Mining
Software on Demand: from IDEs to Intent
metrics.blogg.gu.se·5h
🔄Reproducible Builds
I built ad-hoc analytics service with Reveal
vlaaad.github.io·1d·
Discuss: Hacker News
📊Dependency Graphs
Big data traps that catch small data teams
tower.dev·22h·
Discuss: Hacker News
📏Code Metrics
Amazon Bedrock AgentCore Memory: Building context-aware agents
aws.amazon.com·20h
💾Persistence Strategies
Classifier Language Models: Unifying Sparse Finetuning and Adaptive Tokenization for Specialized Classification Tasks
arxiv.org·1d
🤖Grammar Induction
MedPatch: Confidence-Guided Multi-Stage Fusion for Multimodal Clinical Data
arxiv.org·8h
🧠Machine Learning
Multimodal LLM-based Query Paraphrasing for Video Search
arxiv.org·8h
🔍Semantic Search
Poaching Hotspot Identification Using Satellite Imagery
arxiv.org·8h
🤖Advanced OCR
Scaled-Dot-Product Attention as One-Sided Entropic Optimal Transport
arxiv.org·1d
🧠Machine Learning
Fulfillment of the Work Games: Warehouse Workers' Experiences with Algorithmic Management
arxiv.org·8h
🌊Streaming Systems
AI is different
antirez.com·20h·
Discuss: Hacker News
🤖AI Curation
webMCP: Efficient AI-Native Client-Side Interaction for Agent-Ready Web Design
arxiv.org·8h
🔗Hypermedia APIs
impuTMAE: Multi-modal Transformer with Masked Pre-training for Missing Modalities Imputation in Cancer Survival Prediction
arxiv.org·8h
🧠Machine Learning
From Formal Methods to Data-Driven Safety Certificates of Unknown Large-Scale Networks
arxiv.org·8h
🌐Protocol Synthesis
A Framework for FAIR and CLEAR Ecological Data and Knowledge: Semantic Units for Synthesis and Causal Modelling
arxiv.org·1d
🔢Denotational Semantics
Between Fear and Desire, the Monster Artificial Intelligence (AI): Analysis through the Lenses of Monster Theory
arxiv.org·1d
🔲Cellular Automata
Feature Impact Analysis on Top Long-Jump Performances with Quantile Random Forest and Explainable AI Techniques
arxiv.org·8h
🧠Machine Learning
Automated Arthroscopic Image Segmentation & Anomaly Detection via Hierarchical, Federated Learning
dev.to·17h·
Discuss: DEV
🧠Machine Learning