Implement Fake News Detection With Keras And Python

by Samuel — This article demonstrates a practical implementation of Fake News Detection using TensorFlow, leveraging Natural Language Processing (NLP)

Stackademic·1d ago

5 Azure Detection Splunk Queries Every SOC Analyst Should Know

by N3NU — Table of Contents

Medium·1d ago

Can Attention Beat XGBoost on Fraud Detection?

by Emma Wei — Tags: Transformer · TabTransformer · FT-Transformer · XGBoost · LSTM · Fraud Detection · Python · Imbalanced Data

Medium·2d ago

How to Use a Time Series Foundation Model for Anomaly Detection

by Shuai Guo, PhD — A practitioner’s guide built on Chronos-2 from AWS.

AI Advances·2d ago

IoT Botnet Detection with Lightweight AI: What the Research Says

by anna — What even is an IoT botnet?

Medium·3d ago

How We Turned Model Drift Detection into an Automated Retraining Pipeline

by Ch Rangatagore — >> Data you cannot trust is not data. It is a liability.

Medium·3d ago

A Cloud-Native Approach to Fraud Detection in the Insurance Industry

by Keerthi Amistapuram — Introduction

Medium·1d ago

Multimodal AI-Based Stress Detection: Teaching a Computer to Read Your Stress Before You Even…

by Jahnavi Kodi — The Problem Nobody Talks About Enough

Medium·1d ago

AI Agent Failure Detection and Root Cause Analysis with Strands Evals

In this post, we walk you through calling the detector functions to diagnose real agent failures. You learn how to interpret their structured output: categorized failures with confidence scores,...

AWS ML Blog·2d ago

AI Tire Inspection Systems for Surface Defect Detection and Quality Control

by xis.ai — The life of a tire does not begin when it is fitted to a car; it starts much earlier than that.

Medium·2d ago

AI Detection: Dostoevsky’s Crime and Punishment in the Silicon Era

The Koala News·3d ago

‘Inconsistent’ AI detection ‘should prompt assessment rethink’

Times Higher Education·4d ago

Paper Insights: AHA — Predicting What Matters Next: Online Highlight Detection Without Looking…

by Shanmuka Sadhu — A very interesting paper I was recently introduced to is this NeurIPS 2025 AHA paper by researchers at USC and DEVCOM labs. I had never…

Medium·1d ago

TAPe+ML v2: How we make a single recognition model for any computer vision task

by Sergey Kurinov | Comexp — In computer vision systems, a separate stack is assembled for each task: one backbone for classification, another for detection, and a…

Medium·1d ago

Normal on average, abnormal for yourself: the reference-class trap in behavioral monitoring

by Elodie Aishwarya P. Remoissenet — Comparing an individual to a population average is a modeling choice. And most of the time, it’s the wrong one for anomaly detection. Are…

Medium·2d ago

The Outlier Detection Method That Explains Itself

by Daniel Riad — Using association rule mining to find suspicious transactions in categorical data and explain exactly why they were flagged

Level Up Coding·3d ago

Designing a Cloud-Native Phishing Detection System: Lessons in MLOps Architecture

by Rudratyagi — Cybersecurity threats continue to evolve, but one attack vector remains consistently effective: phishing.

Medium·3d ago

SOC Narrative: How Small LLMs Explain Insider Threat Detection

by Datascientistrip — A hands-on study: zero-shot, few-shot, SFT LoRA, and GRPO on the CERT R4.2 dataset with open-weight Qwen3 models

Medium·4d ago