ABSTRACT: Knowledge Graph (KG) and neural network (NN) based Question-answering (QA) systems have evolved into the realm of intelligent information retrieval as they have been able to reach a high ...

To support general-purpose acceleration for genomics kernels in the commonly used sequencing pipelines, this work presented GenDP, a programmable dynamic programming acceleration framework, including ...

Deep learning methods can accurately study noncoding RNA protein interactions (NPI), which is of great significance in gene regulation, human disease, and other fields. However, the computational ...

Microsoft research reveals how AI agents are transforming computer interaction through GUI control, with major tech companies racing to deploy LLM-powered automation tools worth $68.9 billion by 2028.

Microsoft Research has rolled out a notable update to its GraphRAG (Graph Retrieval-Augmented Generation) system, featuring dynamic community selection. This new approach aims to refine the ...

Here, we introduce dynamic community selection to the global search algorithm, which leverages the knowledge graph structure of the indexed dataset. Starting from the root of the knowledge graph, we ...

Chart Industries Debt Ratio Progress (Chart Industries Third Quarter 2024, Earnings Conference Call Slides) ... But for Oil & Gas Value Research members, ...

In conclusion, iRangeGraph presents a novel and efficient solution for range-filtering approximate nearest neighbor queries. By dynamically constructing graph indexes during query execution and using ...

The team designed a fully dynamic APSP algorithm in the MPC model with low round complexity that is faster than all the existing static parallel APSP algorithms.

Research Progress and Trends in Organizational Resilience Research Knowledge Graph Analysis Based on CiteSpace. Open Journal of Applied Sciences, 13, 832-846. Login ...