Radiocarbon dating of Jerusalem's Siloam Dam links climate and major waterworks
pnas.org·2d·
Discuss: Hacker News
📰RSS Archaeology
The Primitive Tortureboard
aresluna.org·8h·
Discuss: Lobsters, Hacker News
⌨️Mechanical Keyboards
Why I Ditched Malloc for AI Inference
gilli.dev·17h·
Discuss: Hacker News
🧠Memory Allocators
ATMS-KD: Adaptive Temperature and Mixed Sample Knowledge Distillation for a Lightweight Residual CNN in Agricultural Embedded Systems
arxiv.org·9h
🧠Machine Learning
Where LLMs Have Been Useful (For Rebuilding a Car)
outruncarbon.com·7h·
Discuss: Hacker News
🧩WASM Components
Why Should Organizations Invest in Application Modernization?
dev.to·4h·
Discuss: DEV
🔌Interface Evolution
Understanding Automatic Differentiation
swagatmitrab.vercel.app·4h·
Discuss: Hacker News
📐Error Bounds
New Fossils Reveal Humans’ Mysterious Lost Cousin
scitechdaily.com·1d
🦴Binary Paleontology
Show HN: Vectorless RAG
github.com·2d·
Discuss: Hacker News
📊Multi-vector RAG
Turning Devin into an analyst
devin.ai·19h·
Discuss: Hacker News
🌊Stream Processing
Multigres Architecture Overview
multigres.com·3d·
Discuss: Hacker News
🗄️Database Sharding
Enhanced Cartan Subalgebra Analysis via Multi-Modal Data Fusion & Symbolic Regression
dev.to·13h·
Discuss: DEV
🕸️Algebraic Topology
An adventure in writing compatible systems
turso.tech·1d·
Discuss: Hacker News
🦀Rusty Databases
The limits of ChatGPT: a week of interaction and AI research
marktarver.com·5h·
Discuss: Hacker News
🔲Cellular Automata
UltraEar: a multicentric, large-scale database combining ultra-high-resolution computed tomography and clinical data for ear diseases
arxiv.org·9h
🏺Computational Archaeology
Delta Lake: Transform Pandas Prototypes into Production
codecut.ai·2d·
Discuss: Hacker News
📐Delta Encoding
Elasticsearch Explained with Real-Life Example: Why It Beats SQL for Search
blog.devops.dev·3d
🚀Query Optimization
Better to ask for permission than forgiveness
arnoutv.substack.com·2h·
Discuss: Substack
🔐Capability Security
🌍 The Journey of Data: From Raw Logs to Insights
dev.to·22h·
Discuss: DEV
🔗Data Provenance
How To Use LLMs: Retrieval-Augmented Generation (RAG Systems)
dev.to·2h·
Discuss: DEV
📊Multi-vector RAG