Abstract: The performance of machine learning models in real-world applications is often challenged by data drift, in which the statistical properties of the data evolve over time. This phenomenon is ...

S2DM is an approach for modeling data across multiple domains. It is designed to be simple and accessible for Subject Matter Experts (SMEs) while incorporating semantic principles to define meaningful ...

ATLANTA, GA, UNITED STATES, January 14, 2026 /EINPresswire.com/ -- The Open Applications Group (OAGi) announces the ...

Background/aims Up-to-date, stratified estimates of the number of individuals affected by glaucoma in the UK are lacking.

When data is productized and semantics encoded, you unlock agentic AI at scale. Instead of assistants, you get executors: ...

It’s no longer just about who has the best keywords; it’s about who the AI trusts enough to quote. With AI Overviews (AIO) ...

As AI-powered cyberattacks become even more autonomous and widespread, cybersecurity teams will need to adapt by becoming ...

1 Quzhou Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Quzhou, China 2 College of Electrical Engineering, Shanghai University of Electric Power, Shanghai, China Introduction: The ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large. Some accounts estimate that AI is driving 90% of US GDP growth, while others ...

Abstract: Image-text recognition faces challenges in real-time processing, semantic alignment, and adaptability to dynamic environments. To address these issues, this paper proposes a big data ...

This is the official repository for The Quest for Generalizable Motion Generation: Data, Model, and Evaluation. The repo provides a unified framework for generalizable motion generation, including ...