Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...

Leveraging Centralized Health System Data Management and Large Language Model–Based Data Preprocessing to Identify Predictors for Radiation Therapy Interruption This study presents a new method based ...

ABSTRACT: This paper focuses on the role of classifiers in numeral phrases. Based on a generative syntactic framework, the study examines the functional projections involved in nominal structure. It ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

We've reached an inflection point at which AI systems possess capabilities that demand sophisticated containment strategies; but what does this mean for lawyers who want to use these tools safely?

Anthropic Future-Proofs New AI Model With Rigorous Safety Rules Your email has been sent Anthropic has implemented tighter security measures around its Claude Opus 4 AI to mitigate potential misuse, ...

“If it were done when ’tis done, then ’twere well if it were done quickly.” This is probably not how you’d tell someone to hurry it up in your day-to-day life. But as an actor, you’re likely to ...