IEEE

High-Order Vehicular Pattern Learning and Privacy-Preserving and Unsupervised GAN for Privacy Protection Toward Vehicular Parts Detection

Abstract: This paper introduces High-order Vehicular Pattern Learning (HVPL), a novel framework designed to enhance vehicular pattern detection while ensuring privacy ...
The Hacker News

How to Integrate AI into Modern SOC Workflows

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...
IEEE

TAGAPT: Toward Automatic Generation of APT Samples With Provenance-Level Granularity

Abstract: Detecting advanced persistent threats (APTs) at a host via data provenance has emerged as a valuable yet challenging task. Compared with attack rule matching, machine learning approaches ...
CU Independent

The Role of AI and Machine Learning in People Search Accuracy

See how AI and machine learning are transforming people search accuracy. Learn how ML improves precision and recall, powers ...

How AI coding agents work—and what to remember if you use them

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Yonkers Times

Deciding Between a Data Scientist and a Machine Learning Engineer: What to Consider

Choosing a career path in tech can feel overwhelming when both options sound exciting but unclear. You might be drawn to the ...
Microsoft

R-NET: Machine Reading Comprehension with Self-matching Networks

In this paper, we introduce R-NET, an end-to-end neural networks model for reading comprehension style question answering, which aims to answer questions from a given passage. We first match the ...