Moving past conceptual hype, the company showcased deployable physical AI solutions — from electronics manufacturing to ...

Background: Unstructured clinical text remains a major barrier to interoperable data reuse and large-scale secondary analysis in health care. Large language models (LLMs) have the potential to ...

Objective: This study aimed to develop a natural language processing model to predict Glasgow Coma Scale (GCS) scores from daily EHR notes. Methods: The study included adult patients (aged ≥18 years) ...

Linda Rosencrance is a freelance writer/editor/author in the Boston area. Rosencrance has over 30 years experience as an investigative reporter, writing for many newspapers in… Artificial intelligence ...

Abstract: Transformer-based Large Language Models (LLMs) exhibit high computation and memory demands, especially on resource-constrained edge devices. Sparsification techniques like contextual ...

Abstract: Autonomous driving research has gained attention in recent years due to its great potential in reshaping transportation systems. It is highly noticeable that most research focuses on ...