Defining a Standard Taxonomy for Segmentation
blogs.cisco.com·6h
🛡️Security Type Systems
Real-Time AI-Powered DDoS Detection
timeplus.com·2h·
Discuss: Hacker News
📮Persistent Queues
A grand week
blog.mitrichev.ch·2d·
Discuss: blog.mitrichev.ch
🧩Constraint Solvers
Show HN: TinqerJS – LINQ Inspired ORM for TypeScript Supporting Postgres, SQLite
tinqerjs.org·1d·
Discuss: Lobsters, Hacker News, r/javascript
🗃️Query Compilation
The Danger of High (or Small) Numbers In Your Computer And ML Models
pub.towardsai.net·20h
🎯Bit Vectors
valuetier.org (and some thoughts on LLMs)
ericphanson.com·2d·
Discuss: Lobsters, Hacker News
📚Self-Documenting Code
🔍 Syncing SharePoint with Azure Blob Storage using Logic Apps & Azure Functions for Azure AI Search
dev.to·4h·
Discuss: DEV
💬Smalltalk VMs
Introduction to Python Module Two Part Four Data Types
dev.to·1d·
Discuss: DEV
🐍lisp
Vector Trifference
arxiv.org·14h
🎯Bit Vectors
Indexing, Hashing & Query Optimization in SQL
dev.to·2d·
Discuss: DEV
📈Query Optimization
Bamboo: LLM-Driven Discovery of API-Permission Mappings in the Android Framework
arxiv.org·14h
🔍Lens Libraries
CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration
arxiv.org·1d
🧩Persistent Vectors
Fundamentals metrics for Software Engineering derived from Math Statistics
dev.to·2d·
Discuss: DEV
🔗Hash Functions
Day 25 of 90 day python series..
dev.to·7h·
Discuss: DEV
💬Interactive REPLs
"Understanding 6 Common Data Formats in Cloud-Based Data Analytics"
dev.to·3h·
Discuss: DEV
📊DataFrame Types
Contrastive Learning in Feature Spaces: Your Practical Guide to Better Representations
dev.to·11h·
Discuss: DEV
🪜Recursive Descent
The CMO & SEO: Staying Ahead Of The Multi-AI Search Platform Shift (Part 2)
searchenginejournal.com·1d
🔍Search Algorithms
IndiCASA: A Dataset and Bias Evaluation Framework in LLMs Using Contrastive Embedding Similarity in the Indian Context
arxiv.org·1d
🔍ML Language
SQL Indexing, Hashing & Query Optimization
dev.to·2d·
Discuss: DEV
📈Query Optimization
Flamed-TTS: Flow Matching Attention-Free Models for Efficient Generating and Dynamic Pacing Zero-shot Text-to-Speech
arxiv.org·1d
📊LR Parsing