Can Attention Beat XGBoost on Fraud Detection?

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

Medium·5h ago

Gitguardian Agent Skills: Secret Detection and Remediation For AI-Assisted Development

GitGuardian Blog·17h ago

AI Writing Challenges Surface-Level Detection

Let's Data Science·20h ago

Generative AI and Multimodal Learning for Early Gastric Cancer Detection Using Small, Imbalanced, and Heterogeneous Clinical Data

Gastric cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to late-stage diagnosis. Early detection significantly ...

Frontiers·1d ago

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

The Koala News·1d ago

Las Vegas startup bets AI can transform heart disease detection - Las Vegas Review-Journal

Las Vegas Review-Journal·2d ago

AI Detection in Schools: The Wrong Solution to the Wrong Problem

Solutions Review·13h 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·19h 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·22h 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·1d 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·1d ago

‘Inconsistent’ AI detection ‘should prompt assessment rethink’

Times Higher Education·2d 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·13h 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·19h ago

AI Moves Compliance From Detection to Investigation

PYMNTS.com·23h ago

IoT Botnet Detection with Lightweight AI: What the Research Says

by anna — What even is an IoT botnet?

Medium·1d 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·1d ago

Perry-Lecompton school district implements AI gun detection technology to protect students and staff from threats - Lawrence Journal-World

Lawrence Journal-World·2d ago