ABSTRACT: This study proposes a multimodal AI model for classifying Vietnamese digital learning materials by integrating three key information sources: text content, image and graphic features, and ...
FedM2CT consists of 3 modules, i.e., task-specific iRadonMAP (TS-iRadonMAP), condition-prompted mutual learning (CPML), and federated metadata learning (FMDL). TS-iRadonMAP performs the local CT image ...
The current Model Context Protocol (MCP) specification is inadequate to support the development of truly interoperable, intelligent, and user-friendly client applications due to a fundamental ...
This issue focuses on designing a comprehensive movie metadata schema that seamlessly integrates with our existing validation framework while supporting Constitutional AI requirements. The schema must ...
A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework. In today’s data-driven landscape, ...
Artificial intelligence (AI) relies on vast amounts of data. Enterprises that take on AI projects, especially for large language models (LLMs) and generative AI (GenAI), need to capture large volumes ...
AVENTURA, Fla.--(BUSINESS WIRE)--Safe Pro Group Inc. (Nasdaq: SPAI) (“Safe Pro” or the “Company”), a leading provider of artificial intelligence (AI) solutions specializing in drone imagery processing ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results