New York Attorney General Letitia James is throwing her support behind state legislation to curtail retailers and grocers from setting prices using algorithms based on personal data. James, a Democrat ...

Abstract: As humanoid robots and artificial intelligence technologies advance, accurately recognizing human emotions has become increasingly crucial in human-computer interactions. This capability ...

Neoadjuvant chemotherapy (NAC) is a cornerstone of breast cancer management, and accurate prediction of therapeutic efficacy is essential for optimizing treatment strategies and improving patient ...

Skeleton-based action recognition technology has gained significant attention and made great progress in recent years. However, the performance of existing methods declines significantly when the ...

Patients at our institution with lung cancer and any RT Current Procedural Terminology (CPT) code from October 2015 to January 2024 were analyzed. RT claims were organized by treatment episode, and RT ...

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 closely ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

When educators panic about artificial intelligence in the classroom, they often fall back on a familiar definition of learning: a change in long-term memory. It sounds scientific. It gives the ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...

When it comes to teaching math, a debate has persisted for decades: How, and to what degree, should algorithms be a focus of learning math? The step-by-step procedures are among the most debated ...