Bridging Traditional Rule-Based Fraud Detection with AI

by Koray Kurban — Fraud detection in telecommunications and modern digital service providers has long been centered around conventional rule-based systems…

Medium·21h ago

How to shift from AI detection to skill development

University Business·1d ago

3D Cuboid Annotation for Vehicle Detection: Building Better Training Data for Autonomous AI

by Wisepl — Modern computer vision systems are becoming increasingly capable of understanding the world around them. From autonomous vehicles…

Medium·2d ago

Query Understanding for Production RAG: From User Intent to Smarter Retrieval

by Raj kumar — Complete RAG Engineering Series, Part 8 | Engineering intent detection, self-querying retrieval, metadata filtering, query rewriting, and…

Medium·2d ago

Edge AI Object Detection on Raspberry Pi/Jetson Nano

by mR.nObOdY — Run a lightweight ML model (YOLO-nano, MobileNet) on an embedded board with a camera module to detect objects/defects in real time — e.g…

Medium·3d ago

The Gap Between Agent Evals and Drift Detection Is Where Production Dies

by Mudassir Khan — Ai agent evaluation production drift is the failure mode nobody budgets for. The eval suite stays green, the dashboards stay flat, and the…

Medium·3d ago

Building SonicSentinel AI: Lessons from Sound Event Detection

by Janmoiz — What the prototype does, what the results show, and what still needs work.

Medium·1d ago

What 3.8 Billion Years of Security Engineering Can Teach a SOC

by Muhammad Talha — The Human Immune System Is the Most Sophisticated Threat Detection and Response Architecture Ever Built — Here Is What It Got Right That…

Medium·1d ago

I Built PayResolve: What 10,020 Synthetic Payments Taught Me About Anomaly Detection

by olive Nwaigbo — Building and independently evaluating an experimental payment-operations intelligence platform with Python, Isolation Forest, and…

Medium·2d ago

Building an IoT Health Monitor: ESP32, MQTT, and Real-Time Anomaly Detection

by mR.nObOdY — Building a smart health monitoring wearable bridges the gap between raw biometric hardware signals and real-time cloud analytics.

Medium·3d ago

Autoencoders Explained: Representation Learning, VAEs, Anomaly Detection, and Production ML Systems

Medium·3d ago

voren-x1: A YOLOv26n-Based Vehicle Detection Model

by Musa Gülmak — I have deployed voren-x1, my YOLOv26n-based object detection model trained on my own dataset. It currently performs basic vehicle…

Medium·3d ago

Building Health-Watcher: An Explainable AI System for Wearable Event Detection

by Sudipto K Haldar — How public sensor datasets, subject-level validation, interpretable models, persistence gates, model cards, and an operator-centered…

Medium·1d ago

What is Anomaly Detection? — Elasticsearch Edition

by Şeyma — The Unknown Unknowns — From Static Rules to Probabilistic Models

Medium·2d ago

3 Reasons Your AI Budget Is Bleeding: Why “LLM-Jacking” Attacks Are Surging (And The 8-Minute…

by Nanthakumar — What causes AI bills to explode? LLM-jacking. Learn the 8-minute breach, detection signals, and practical defenses before costs spiral…

Medium·2d ago

One Fifth of the Conversation Was Not a Person

by Emilio Ferrara — In 2016 we pointed bot detection at the online discussion of the U.S. Presidential election. A large fraction of the accounts may not have…

Activated Thinker·3d ago

What Thousands of Steel-Plant Drone Frames Reveal About the Camera and AI You Actually Need

by Sumit Kumar — A practical look at drone VT and NDT: what can be detected, how detection can be validated, and what the imaging system must deliver.

Medium·3d ago

7 AI-Powered Document Fraud Detection Tools for Enterprise Onboarding

Key Takeaways Enterprise onboarding runs on documents. A new customer uploads a passport, a new merchant sends a business registration, a borrower attaches three months of bank statements, and a...

AI News·5d ago