Forger passes checks from Prospect High
mercurynews.com·1h
🚨Incident Response
Read more: Fewer attacks on Swiss ATMs but their future remains uncertain
swissinfo.ch·3h
🇨🇿Tesla MIR
Denmark taps Microsoft to build world’s most powerful quantum computer
thenextweb.com·1d
🇩🇰Danish Computing
Book Notes: The Dark Art of Linear Algebra by Seth Braver — Chapter 1 Review
ruslanspivak.com·3d
📐Mathematical Art
WasmEdge/WasmEdge
github.com·13h
⚙️WASM Runtime
Why pull-based pipelines are faster
blog.sequinstream.com·1d·
Discuss: Lobsters, Hacker News, r/programming
🌊Stream Processing
Development Interview with Randal Linden and John Linneman
limitedrungames.com·4h·
Discuss: Hacker News
📼Retro Games
A PhD's Apology
cappadokes.github.io·2d·
Discuss: Hacker News
🧮Theoretical Computer Science
Show HN: Object database for LLMs that persists across chats (MCP server)
dry.ai·20h·
Discuss: Hacker News
🔄Sync Engine
RAG at the Crossroads - Mid-2025 Reflections on AI’s Incremental Evolution | RAGFlow
ragflow.io·6h·
Discuss: Hacker News, r/LocalLLaMA
🌀Brotli Internals
AI in the Classroom Promises Efficiency—But at What Cost to Learning?
hackernoon.com·10h
🌍Cultural Algorithms
Which graph motif parameters count?
arxiv.org·1d
🔗Graph Isomorphism
Opening a Six-Lock Safe With One Key Using Brunnian Links
hackaday.com·1d
🔓Password Cracking
Finding Order-Preserving Subgraphs
arxiv.org·2d
🕸️Graph Algorithms
A Minimal DDPM
github.com·2d·
Discuss: Hacker News
🧠Machine Learning
On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization
arxiv.org·3d
🧠Machine Learning
Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy
arxiv.org·11h
🧠Neural Codecs
Some History Notes on Casting Out Nines, and an extension you probably never heard of.
pballew.blogspot.com·1d·
Discuss: www.blogger.com
🎯Arithmetic Coding
Understanding the Basics: Linear Equations and Matrices
dev.to·1d·
Discuss: DEV
📐Linear Algebra
"What do you expect? You're part of the internet": Analyzing Celebrities' Experiences as Usees of Deepfake Technology
arxiv.org·11h
🏛Digital humanities