Abstract: Linking medical data silos for medical model learning and sharing makes for better healthcare for humanity. Before that, two critical issues must be solved, i.e., patient privacy protection ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

The potential applications of DTs extend beyond individual patient care to public health surveillance, hospital resource management, and epidemiological modeling. However, several challenges persist, ...

Mechatronic Systems Laboratory, Institute of Machine Design and Systems Technology, Technische Universität Berlin, Berlin, Germany This paper presents the development and experimental validation of a ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Process Research and Development. Merck & Co., Inc., P.O. Box 2000, Rahway, New Jersey 07065, United States ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Amazon DocumentDB (with MongoDB compatibility) is a fully managed native JSON document database that makes it easy and cost effective to operate critical document workloads at virtually any scale ...

mcp_mysql_server_pro is not just about MySQL CRUD operations, but also includes database anomaly analysis capabilities and makes it easy for developers to extend with custom tools. get_db_health_index ...

The rise of artificial intelligence(AI) is fundamentally changing the world of data analytics and data engineering. Advanced AI systems—AI agents that autonomously act, starting to change how ...