Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration, i.e., ...

TypeScript Call Graph This CLI will create an interactive graph of all the functions and their calls in the TypeScript files you provide. ⚠️ This is a work in progress 🚧 More visualization ...

Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human designed to ...

About Context-Aware RAG library for Knowledge Graph ingestion and retrieval functions.

6.6. The Derivatives of Inverse Trigonometric Functions 149 6.7. The Derivatives of Hyperbolic Functions 150 6.8. Miscellaneous Problems on Differentiation 151 6.9. Higher-Order Derivatives 151 6.10.

Graphene, serving as electrodes, is widely applied in electronic and optoelectronic devices. Work function as one of the fundamental intrinsic characteristics of graphene directly affects the ...

It will be useful to regulate AI, but primarily at the application level. For example, AI applications to medical diagnosis should be regulated very differently from AI applications to self-driving ...