Abstract: The deep learning ability to recognize patterns in data has recently become popular within education. Created in 2014, generative adversarial networks (GANs) are innovative classes of deep ...

Cybersecurity researchers discovered that simple artificial intelligence tools can defeat security techniques meant to protect authentic content from use in deepfakes, facial identity theft, or ...

The understanding and generating AI agents are differentiated by a role prompt. The understanding AI agent takes the original data, channel sensing data, and task requirements as input, and outputs ...

On February 17, 2026, the Southern District of New York, in United States v. Bradley Heppner, held that a criminal defendant's written exchanges with a “publicly available AI platform” are not ...

President Donald Trump’s “Cyber Strategy for America,” released March 6, emphasized deploying U.S. cyber capabilities to disrupt adversaries while securing essential systems. “We will deploy the full ...

Use of generative artificial intelligence technology is already widespread in K-12 schools and higher education. Now, AI technologies such as conversational agents and tablet-based assessments are ...

In a timely announcement that underscores the intersection of technology and national security, CFTC Chairman Mike Selig has spotlighted President Trump’s newly released Cyber Strategy for America.

In his National Cybersecurity Strategy, President Trump sought an expanded role for private firms in cyberwarfare. He did not take on China or Russia in the document. By Adam Sella Reporting from ...

CrowdStrike’s latest annual Global Threat Report finds AI-driven attacks up 89%, zero-day exploitation surging, and nation-state actors doubling down on cloud and edge device compromise. Since the ...

As generative AI (GenAI) tools become embedded in legal and business workflows, courts are grappling with questions regarding how attorney-client privilege and the work-product doctrine apply to GenAI ...

Abstract: Space-air-ground integrated networks (SAGINs) face unprecedented security challenges due to their inherent characteristics, such as multidimensional heterogeneity and dynamic topologies.

ABSTRACT: This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples ...