⏳ Time-travel Databases - nmarshall · Scour

ComplianceNLP: Knowledge-Graph-Augmented RAG for Multi-Framework Regulatory Gap Detection 🐻‍❄️Polars

Distro Compliance Tracker ⚙️n8n

agelesslinux.org·5d

Extracting contract insights with PwC’s AI-driven annotation on AWS ⚙️DataFusion

aws.amazon.com·21h

From Localhost to Cloud: Architecting EquiDex, an AI Bias Detection Platform ☁️Serverless Rust

youtu.be·2d·DEV

Guide: DORA Compliance Evidence for Agentic AI 📊Infrastructure Monitoring

goteleport.com·3d

Introducing SOB: A Multi-Source Structured Output Benchmark for LLMs 🔍Query Compilers

interfaze.ai·2d·Hacker News

Designing a Governed RTO Compliance Agent Using Copilot Studio and Databricks Genie 🧩Low-code

techcommunity.microsoft.com·2d

The Silent Versioning Problem in AI Inference 🚀MLOps

digitalocean.com·6d

Qdrant Cloud launches high-performance vector database features for AI workloads 🏗️AI Infrastructure

siliconangle.com·2d

sentinel-safety/SENTINEL: Open-source behavioral intelligence for child safety moderation. 🔗ActivityPub

github.com·5d·DEV

Robodebt: A Socio-Technical Case Study of Public Sector Information Systems Failure | Australasian Journal of Information Systems 🧩Low-code

ajis.aaisnet.org·3d

How lenders actually evaluate insurance during real estate deals (and why most investors misunderstand it) 📈Time-series Analytics

onarchipelago.com·4d·DEV

A Multistage Extraction Pipeline for Long Scanned Financial Documents: An Empirical Study in Industrial KYC Workflows 📝NLP

5 clues your network has shadow AI 🌐Network Security

·6d

Unifying Runtime Monitoring Approaches for Safety-Critical Machine Learning: Application to Vision-Based Landing 🚀MLOps

Do Transaction-Level and Actor-Level AML Queues Agree? An Empirical Evaluation of Granularity Effects on the Elliptic++ Graph 🧠Memory Models

Time-Series Forecasting in Safety-Critical Environments: An EU-AI-Act-Compliant Open-Source Package / Zeitreihenprognose in sicherheitskritischen Umgebungen: Ein KI-VO-konformes Open-Source-Paket ⏰Time-Series Analytics

When Corrective Hints Hurt: Prompt Design in Reasoner-Guided Repair of LLM Overcaution on Entailed Negations under OWL~2~DL 🔗CoT Prompting

The Structured Output Benchmark: A Multi-Source Benchmark for Evaluating Structured Output Quality in Large Language Models 🎙️Whisper

Cross-Domain Data Selection and Augmentation for Automatic Compliance Detection 🎯Vector Databases

Log in to enable infinite scrolling