Collaborating on a Digital Music Archive: U-M's contributions to the Sounding Spirit Digital Library
blogs.lib.umich.edu·21h
📄Document Digitization
BigBear.ai Stock: Hype Fueled The Rally, But What Comes Next?
seekingalpha.com·25m
📡Feed Archaeology
A Plasticity of Being: What a Rare Bird of Prey Reveals about the Deepest Meaning of Intelligence
themarginalian.org·4h
🔲Cellular Automata
Physicists Break Quantum Barrier With Record-Breaking Qubit Coherence
scitechdaily.com·14h
⚛️Quantum Tape
Stop Paying for Free Monads • Mark Hopkins • YOW! 2016
youtube.com·2d
🔀Category Theory
The Ps, the Qs, and the War
libertiesjournal.com·16h·
Discuss: Hacker News
🏛️Philosophy
Monads as Graphs (2019)
neilmitchell.blogspot.com·22h·
Discuss: Lobsters, Hacker News
🧬Functional Programming
Why Maybe Don't AI
maybedont.ai·1d·
Discuss: Hacker News
🔲Cellular Automata
What is a password manager and are they safe?
abc.net.au·1d
🎯NTLM Attacks
Integration testing for Go applications using Testcontainers
devblogs.microsoft.com·23h·
Discuss: Hacker News
🔍Concolic Testing
Show HN: An Intuitive Go Library for Handling Complex Permission/RBAC
github.com·3d·
Discuss: Hacker News, r/golang
🔐Capability Systems
Dell scoffs at breach, says miscreants only stole ‘fake data’
theregister.com·1d
🔓Hacking
The Human-AI Interface: Designing Developer Workflows for Collaborative Intelligence (Post-Migration)
dev.to·2h·
Discuss: DEV
🔌Interface Evolution
The unique, mathematical shortcuts language models use to predict dynamic scenarios
news.mit.edu·2d
🌲Parse Trees
Shard Protocol: a preemptive logic layer built on Bolt
dev.to·1d·
Discuss: DEV
⚙️TLA+
Long-Short Distance Graph Neural Networks and Improved Curriculum Learning for Emotion Recognition in Conversation
arxiv.org·1d
🕸️Graph Embeddings
On exploration of an interior mirror descent flow for stochastic nonconvex constrained problem
arxiv.org·1d
🌀Riemannian Computing
We Built a Social Platform That Respects You
dev.to·1d·
Discuss: DEV
🚀Indie Hacking
**Production-Ready Python Web Scraping: Advanced Techniques for Dynamic Sites and Data Collection**
dev.to·19h·
Discuss: DEV
🕵️Feed Discovery
A Comparative Analysis of Statistical and Machine Learning Models for Outlier Detection in Bitcoin Limit Order Books
arxiv.org·1d
🧠Machine Learning