With a greater emphasis on engagement and impact within academia, academics are increasingly creating research summaries, and other outputs, to share their research findings for teachers, ...

Abstract: This paper focuses on the research of physical domain adversarial examples in the field of machine learning security. Through in-depth analysis of the mainstream generation algorithms of ...

Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...

Learning robust linguistic representations from text has long been a central challenge in natural language processing and language sciences. NLP systems ...

During his second term, U.S President Donald Trump has taken unprecedented action against universities in a number of ways. We look at the impact on research.

National Research (NASDAQ:NRC) leaders Sarah Fryda and Jason Messerli told webcast attendees that hospitals can use Net Promoter Score (NPS) and other real-time patient feedback tools to strengthen ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Large language models (LLMs) enable researchers to analyze text at unprecedented scale and minimal cost. Researchers can now revisit old questions and tackle novel ones with rich data. We provide an ...

Most people in the math education space agree that students need to be fluent with basic math facts. By the time kids are in ...

A study entitled, “What’s in a name? Democrat Party as multivocal communication,” delves into code words used by politicians. The study was published by Party Politics with a print version due out ...