A candidate profile looks clear inside a PDF, but the moment details are copied into an internal system or shared document, the structure starts breaking and small errors begin to appear. In many ...
As demand for natural colors grows, scrutiny around safety and labeling is intensifying. Recent FDA action on spirulina ...
At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...
Today’s enterprises store valuable business intelligence in documents, including Word files, PDFs, spreadsheets, and physical records. By extracting valuable insights from documents, enterprise ...
ABSTRACT: Ensuring food sovereignty amid climate change, energy insecurity, and fragile food systems remains a central challenge for low- and middle-income countries. Indigenous vegetables (IVs) and ...
(A) Overall structure of the model. MLP, multilayer perceptron. (B) Structure of the time encoder module. (C) Structure of the channel encoder module. BN, batch normalization. “Domain bias caused by ...
Abstract: Gravity and magnetic anomalies contain abundant geological information. However, redundant information complicates the study of exploration targets. Existing methods primarily rely on ...
Radiology reports are stored as plain text in most electronic health records, rendering the data computationally inaccessible. Large language models are powerful tools for analyzing unstructured text ...
In Celonis SE v. SAP SE, a federal court ruled that Celonis could proceed with its claim alleging SAP monopolized a standalone “data access” aftermarket, potentially paving the way for monopolization ...
Introduction: Utilization of large language models (LLMs) for named entity recognition from free-text medical reports is rapidly expanding. However, concerns about protected health information (PHI) ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results