As organizations increasingly integrate AI into key decision areas, ensuring the integrity of datasets has become a vital concern at the highest levels. Recent research sponsored by Deloitte ...

If you run security at any reasonably complex organization, your validation stack probably looks something like this: a BAS tool in one corner. A pentest engagement, or maybe an automated pentesting ...

Abstract: This article analyses the performance characteristics of XGBoost models across multiple datasets for phishing URL detection, extending our previous conference paper with comprehensive ...

The framework establishes a specific division of labor between the human researcher and the AI agent. The system operates on a continuous feedback loop where progress is tracked via git commits on a ...

This repository contains the complete proof-of-concept implementation of the Trust-Aware Autonomous Foundational Dataset Construction and Integrity Validation System — a 7-layer integrated pipeline ...

The canopy characteristics of crops are essential aspects for assessing crop growth status and conducting phenotype analysis. As one of the key indicators to measure crop growth situation, accurate ...

Introduction: Cerebrovascular pathologies require rapid and accurate imaging interpretation to guide time-sensitive decisions in acute neurovascular care. Advanced 3D segmentation of CTA images offers ...

As AI becomes table stakes on Wall Street, business schools are racing to keep pace. Elite programs nationwide are launching new courses at the nexus of AI and finance. Leaders from Wharton and ...

The validation module must be able to retrieve these cached text embeds If the current model requires image embeds (eg. wan 2.1 i2v or qwen-edit), we run into a unique issue where there is generally ...