Turning the SLV's maps into data with Allmaps and some GLAM plumbing
updates.timsherratt.org·9h
🔶Voronoi Diagrams
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Ground zero: 5 things to do after discovering a cyberattack
welivesecurity.com·1d
🚨Incident Response
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Never Use Text Pixelation To Redact Sensitive Information | Bishop Fox
bishopfox.com·2d
🧪Archive Fuzzing
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Dissecting my MiniBanners program – part 1
subethasoftware.com·19h
📺VT100
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The Infrastructure of Modern Ran king Systems, Part 2: The Data Layer - Fueling the Models with Feature and Vector Stores
shaped.ai·1d
🗂️Vector Databases
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Digital Twins: the missing pieces we can solve with Machine Learning
quantblog.wordpress.com·1d·
Discuss: Hacker News
🏺Computational Archaeology
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Challenge: Improve Multilingual ASR Performance for Mozilla
community.mozilladatacollective.com·1d·
Discuss: Hacker News
🎙️Whisper
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Yes really, curl is still developed
daniel.haxx.se·4h·
Discuss: Hacker News
🔌Interface Evolution
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You can't cURL a Border
drobinin.com·13h·
Discuss: Hacker News
🔗Data Provenance
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Time to move on: n8n vs code for SaaS
pixeljets.com·21h·
Discuss: Hacker News, r/node
🌐Web Standards
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Smaller Surfaces
nrempel.com·2d·
Discuss: Hacker News
📏Code Metrics
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NaturalVoices: A Large-Scale, Spontaneous and Emotional Podcast Dataset for Voice Conversion
arxiv.org·8h
🎙️Whisper
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Gen AI in Automotive: Applications, Challenges, and Opportunities with a Case study on In-Vehicle Experience
arxiv.org·8h
🎙️Whisper
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On Designing Low-Latency Systems for High-Traffic Environments
hackernoon.com·21h
🌊Stream Processing
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MCP standard
dev.to·1d·
Discuss: DEV
🏺Protocol Archaeology
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Uncrossed Multiflows and Applications to Disjoint Paths
arxiv.org·8h
🕸️Network Topology
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REMI: PostgreSQL as Agentic Core in Tiger Cloud (Agentic Postgres Challenge by Auth0)
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
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Accelerated Dielectric Barrier Coating Optimization via Multi-Modal Data Fusion & Bayesian Hyperparameter Tuning
dev.to·18h·
Discuss: DEV
🧠Machine Learning
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How I Built gemini-imagen: A CLI for Google Gemini Image Generation
dev.to·19h·
Discuss: DEV
🤖Archive Automation
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Building a Multimodal RAG That Responds with Text, Images, and Tables from Sources
towardsdatascience.com·17h
📄Text Chunking
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