TMCnet

Justt Achieved 25% Drop in Document Extraction Errors Using NVIDIA Nemotron

Justt is already delivering measurable results to enterprise customers. "Chargeback management is fundamentally a document and data challenge. By integrating NVIDIA's vision-language models into our ...

POMA AI Achieves Best-in-Class RAG Chunking and Document Ingestion With 77% Token Reduction vs. Conventional Models

Out of the box,POMA PrimeCut uses 77% fewer tokens than conventional models. The figure rises to 83% when used in customized ...
IEEE

Deep Learning-Based Rapid Fire Detection in Buildings Using Acoustic Wave Travel Time Information

Abstract: Rapid fire detection in buildings is essential for effective fire emergency management. Moreover, locating the fire source provides critical evidence for subsequent investigations into the ...
IEEE

Semantic grounding of LLMs using knowledge graphs for query reformulation in medical information retrieval

Abstract: The widespread adoption of electronic health records has generated a vast amount of patient-related data, mostly presented in the form of unstructured text, which could be used for document ...
InfoQ

JDK 26 and JDK 27: What We Know So Far

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
ascopubs.org

Development and Assessment of a Pipeline for Extracting Structured Data From Free-Text Medical Reports Using a Large Language Model

We developed and evaluated a pipeline combining Mistral Large LLM and a postprocessing phase. The pipeline's performance was assessed both at document and patient levels. For evaluation, two data sets ...
Savannah Morning News

KeyMark Announces Addition of Bill Priemer to its Board of Directors

Former Hyland CEO, Bill Priemer, brings decades of insight and leadership to bolster KeyMark’s strategic planning and evolution. LIBERTY, SC, UNITED STATES, January ...