3 reasons to join the AlmaLinux OS Foundation board
almalinux.org·2d
🐧FOSS
Half-life of Open source research software projects
shape-of-code.com·2d
🔓Open Source Software
The office v home working debate that is dividing workers
the-independent.com·1h
🖥️Self-hosted Infrastructure
Reverse-engineering the Globus INK, a Soviet spaceflight navigation computer
righto.com·2d·
Discuss: Hacker News
⚙️Cassette Mechanics
Reverse Engineering ALL the Raspberry Pis
jeffgeerling.com·1d·
Discuss: Hacker News
🔌Single Board PC
What is this? The case for continually questioning our online experience
systems-souls-society.com·2d·
Discuss: Hacker News
🧲Magnetic Philosophy
UChicago Lost Money on Crypto, Then Froze Research When Federal Funding Was Cut
stanfordreview.org·2d
🔍BitFunnel
A Polemic Against Scrolling
riddle.press·1d·
Discuss: Hacker News
🖋Typography
Two Dogmas of Empiricism
en.wikipedia.org·2d·
Discuss: Hacker News
💻Programming languages
Reformulating web documents into synthetic data addresses the growing limits of AI training data
the-decoder.com·3d
📄Document AI
Made a one piece knowledge benchmark
reddit.com·2d·
Discuss: r/artificial
🧮Z3 Solver
OpenAI execs can't stop talking about not having enough GPUs
businessinsider.com·1d
🖥️Modern Terminals
How Tensors Are Changing Search in Life Sciences
thenewstack.io·1d
🗂️Vector Search
Reverse Engineered Raspberry Pi Compute Module 5
github.com·2d·
Discuss: Hacker News
🔌Single Board PC
Retrieval Enhanced Feedback via In-context Neural Error-book
arxiv.org·2d
🤖Grammar Induction
Political Ideology Shifts in Large Language Models
arxiv.org·2d
📝ABNF Extensions
OmniMRI: A Unified Vision--Language Foundation Model for Generalist MRI Interpretation
arxiv.org·1d
🤖Advanced OCR
Learning to Detect Label Errors by Making Them: A Method for Segmentation and Object Detection Datasets
arxiv.org·1d
🧠Machine Learning
Demographic Biases and Gaps in the Perception of Sexism in Large Language Models
arxiv.org·1d
📊Feed Optimization
An Efficient Dual-Line Decoder Network with Multi-Scale Convolutional Attention for Multi-organ Segmentation
arxiv.org·1d
📊Learned Metrics