Abstract: Synaptic transistors have attracted growing interest due to their potential in bio-inspired computing. Conventional synaptic transistors typically rely on charge traps, dipoles, or mobile ...

This system takes an unstructured text document, and uses an LLM of your choice to extract knowledge in the form of Subject-Predicate-Object (SPO) triplets, and visualizes the relationships as an ...

Not long ago, creating a solid presentation, a clean infographic, or a sharp data visualization meant you either knew your way around design software or you paid someone who did. That has changed, ...

Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...

Aim Causal inference relies on correct background knowledge, which epidemiologists generally understand to come from academic experts. Our community-engaged study augments scientific domain knowledge ...

Abstract: Graph theory-based techniques have recently been adopted for anomaly detection in hyperspectral images (HSIs). However, these methods rely excessively on the relational structure within the ...