This weekly recap brings those stories together in one place. No overload, no noise. Read on to see what shaped the threat ...

Weekly roundup exploring how cyber threats, AI misuse, and digital deception are reshaping global security trends.

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...

A generative advertising framework integrates diffusion models, multimodal learning, and brand style embeddings to automate creative production. By aligning semantic understanding with template ...

This article will examine the practical pitfalls and limitations observed when engineers use modern coding agents for real ...

Abstract: This research evaluates a cognitive AI model for unmanned aerial vehicles (UAV) detection using adversarial machine learning (AML) techniques. We test the model using the VisDrone dataset ...

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In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Abstract: Adversarial Machine Learning (AML) is a fascinating and fast-growing research direction and area of practical interest. Deployed Machine Learning (ML) models are known to be vulnerable to ...

New vulnerabilities have emerged with the rapid advancement and adoption of multimodal foundational AI models, significantly expanding the potential for cybersecurity attacks. Researchers at Los ...

The emergence of both task-specific single-modality models and general-purpose multimodal large models presents new opportunities, but also introduces challenges, particularly regarding adversarial ...