Why scientists and policy experts are mapping the genomes of every animal, plant and fungal species in the US
phys.org·1d
🧬Copy Number Variants
Show HN: Anytype – a local and collaborative database with API and MCP server
zhanna.any.org·22h·
Discuss: Hacker News
🔄Sync Engine
Ancient mammoth-tusk boomerang is twice as old as we thought
newscientist.com·1d
🦴Database Paleontology
Large Language Models
blog.jsbarretto.com·1d·
Discuss: Hacker News
📝Concrete Syntax
Iranian Educated Manticore Targets Leading Tech Academics
research.checkpoint.com·1d
🎫Kerberos Attacks
Comparing Rust, JavaScript and Go for Authoring WASM Components
obeli.sk·2d·
Discuss: Hacker News
🧩WASM Modules
Keystroke Forensics 101: Extracting Secrets from USB Traffic
infosecwriteups.com·2d
🔍NTLM Forensics
How to Prevent AI Agents from Accessing Unauthorized Data - DevConf.CZ 2025
youtube.com·1d
🔄Archival Workflows
The Impact of the Russia-Ukraine Conflict on the Cloud Computing Risk Landscape
arxiv.org·1d
🖥️Self-hosted Infrastructure
I built a Swift GraphQL client that generates the query using macros
github.com·1d·
Discuss: Hacker News
✅Format Verification
Enterprise Large Language Model Evaluation Benchmark
arxiv.org·1d
⚙️Compression Benchmarking
Here is a creative heading for the blog post: "The Phantom Hackers: Unmasking the Invisible Foes of
dev.to·18h·
Discuss: DEV
🛡Cybersecurity
Curating art exhibitions using machine learning
arxiv.org·2d
🏺Computational Archaeology
IP Sentry (Golang)
dev.to·2d·
Discuss: DEV
🛡️eBPF Security
Learning Plan Architect: Design Your Mastery Blueprint 🏗️🎯🤖🌠
dev.to·1d·
Discuss: DEV
📐Proof Assistants
Practical and Accurate Local Edge Differentially Private Graph Algorithms
arxiv.org·7h
🗜️Graph Compression
Go Project Scaffolding Guide: A Choice That Earned My Team's Rave Reviews
dev.to·55m·
Discuss: DEV
🏺ZIP Archaeology
1 - Building a Worship Resource Library
dev.to·12h·
Discuss: DEV
🎹MIDI Archaeology
Semantic-Aware Parsing for Security Logs
arxiv.org·3d
📝Log Parsing
Client Clustering Meets Knowledge Sharing: Enhancing Privacy and Robustness in Personalized Peer-to-Peer Learning
arxiv.org·1d
🔒Privacy Preserving