SahulCHAR: A Palaeofire Database for Australia, New Guinea, and New Zealand
essd.copernicus.org·6h·
Discuss: Hacker News
🗂️HDF5
Fine-tune TabPFN on proprietary tabular data
medium.com·12h·
Discuss: Hacker News
📊Columnar Engines
Kimi K2 and when "DeepSeek Moments" become normal
interconnects.ai·9h·
Discuss: Hacker News
📋Tokei
CircFormerMoE: An End-to-End Deep Learning Framework for Circular RNA Splice Site Detection and Pairing in Plant Genomes
arxiv.org·20h
🧬Bioinformatics
🚰 Buffering in Go: faster I/O without the headaches
dev.to·21h·
Discuss: DEV
🌊Stream Processing
Temporal Motifs for Financial Networks: A Study on Mercari, JPMC, and Venmo Platforms
arxiv.org·20h
🧊Iceberg Tables
From Lab Toy to Core Infra: Why Vector Databases Became Default in My AD Projects
dev.to·14h·
Discuss: DEV
⚡ClickHouse
A Single-Case Study: Using Grok 4 to Reframe a “Beauty Analysis” Prompt for ChatGPT o3
dev.to·23h·
Discuss: DEV
📋Tokei
Using React Hooks – A New Way to Write Components
dev.to·13h·
Discuss: DEV
📋Tokei
Sometimes Breaking Docker Best Practices Actually Works in Your Favor
hackernoon.com·13h
🛡️Memory Safety
Show HN: A reasoning model that infers over whole tasks in 1ms in latent space
github.com·9h·
Discuss: Hacker News
⚙️Query Compilers
Improving MLLM's Document Image Machine Translation via Synchronously Self-reviewing Its OCR Proficiency
arxiv.org·20h
⚙️Query Compilers
Introducing kat: A TUI and rule-based rendering engine for Kubernetes manifests
reddit.com·12h·
Discuss: r/kubernetes
📋Tokei
Analysis of Propaganda in Tweets From Politically Biased Sources
arxiv.org·20h
🔄Feed Aggregation
NodeJS Fundamentals: v8
dev.to·17h·
Discuss: DEV
📊Columnar Engines
Finding Common Ground: Using Large Language Models to Detect Agreement in Multi-Agent Decision Conferences
arxiv.org·20h
🎮Reinforcement Learning
Automating Receipt Processing with added convenience
dev.to·6h·
Discuss: DEV
🌊Stream Processing
Welcome to the Museum of AI Hallucinations
hackernoon.com·7h
🔍AI Detection
🧠 Who Should Use Mojo Instead of Python3?
dev.to·16h·
Discuss: DEV
🔢NumPy
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment
arxiv.org·20h
📓Jupyter