Event Review: Doin' the Lambeth Walk (Oi!) ★★★⯪☆
shkspr.mobi·4h·
Discuss: shkspr.mobi
🔐Cryptographic Archaeology
Autonomous Vehicles vs. Strangers on a Train
hollisrobbinsanecdotal.substack.com·2d·
Discuss: Substack
⏳Time Capsule Networks
KDE Linux distro's first alpha version has been released
ghacks.net·1d
🔌Operating system internals
Protect Arctic from 'dangerous' climate engineering, scientists warn
bbc.com·6h
🧊Arctic Storage
Star Trek plans packed lineup for the franchise’s 60th anniversary, with Lego sets and YouTube show
mercurynews.com·2h
⏱️SMPTE Timecode
Why travellers are visiting this Alpine ski resort – in the summer
the-independent.com·5m
🧮Algorithmic Cooking
Is the EU a strategic powerhouse or an ineffectual player?
france24.com·6h
🔍Polish Cryptanalysis
The Grounded Turing Test
whattotelltherobot.com·5d·
Discuss: Hacker News
🔲Cellular Automata
Liberté, égalité, radioactivité
worksinprogress.co·5d·
Discuss: Hacker News
🇫🇷French Computing
Linux Kernel Runtime Guard 1.0 Released
linuxiac.com·2d
🔍eBPF
Beyond Vibe Coding: A practical guide to AI-assisted development
beyond.addy.ie·3d·
Discuss: Hacker News
⚡Proof Automation
Tesla shows Full Self Driving at the Berlin plant
heise.de·3d
🇨🇿Tesla MIR
Intel Preps Wildcat Lake Display Support For Linux 6.18, "enable_panel_replay" Option
phoronix.com·2d
🔌Operating system internals
How to build nature back better — read this manual
nature.com·1d
🧊Arctic Storage
Chatbot Development Services: Transform Your Customer Interactions
dev.to·3h·
Discuss: DEV
🎛️Feed Filtering
KDE Linux Alpha Launches with Immutable Base and Flatpak Support
linuxiac.com·3d
🔌Operating system internals
CG Oncology, Inc. (CGON) Presents At Morgan Stanley 23rd Annual Global Healthcare Conference (Transcript)
seekingalpha.com·1h
🖥️Terminal Renaissance
Hyper-Efficient Data Consolidation via Adaptive Semantic Graph Compression (ASGC)
dev.to·3d·
Discuss: DEV
🗜️Graph Compression
HP EliteDesk 800 G4 Drive Expansion
reddit.com·3d·
Discuss: r/homelab
🖥Home Lab Setup
Adaptive Quantization-Aware Pruning for Efficient Federated Learning of Edge AI Models
dev.to·2d·
Discuss: DEV
📊Quantization