AI can’t be fully trusted, yet businesses depend on it. Explore the risks of bias, hallucinations, and adversarial ...

A first-of-its-kind study led by researchers at the Centre for Addiction and Mental Health (CAMH) has found that artificial intelligence (AI) models used to predict aggressive incidents in acute ...

Synthesizing tables—creating artificial datasets that closely resemble real ones—plays a crucial role in supervised machine learning (ML), with a wide range of practical applications. These include ...

Harvard SEAS researchers and a multi-university team that includes information theorists and experts in wireless ...

Oak Ridge National Laboratory's Center for Artificial Intelligence Security Research (CAISER) is shining a light on AI vulnerabilities. While AI models offer tremendous economic, humanitarian and ...

How the ColorTokens Xshield platform and its integrated ecosystem stand between North America’s power grid and digital ...

Large language models are inherently vulnerable to prompt injection attacks, and no amount of hardening will ever fully close that gap. The imbalance between available attacks and available ...

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...

CPAs are well aware of the challenges and complexities arising from ensuring the integrity and reliability of data. These issues reside not only within an organization, but also involve trusted ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...