Cloud-based virtualization, real-time data synchronization, and scalable AI/ML deployment can modernize the testing landscape ...

Abstract: The proliferation of big data has fueled the success of deep learning; however, its inherent ”black box” nature poses significant challenges for its adoption in safety-critical domains.

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 ...

Concerns about nondisclosure agreements and ratepayer protections prompted some dissent in the Senate. The Legislature has passed a new regulatory framework for data centers to be built in the state.

Abstract: This paper focuses on constructing a Selenium-based Web automation testing framework to address issues such as high testing costs, low efficiency, poor script maintainability, and ...

Conclusions: Health care AI systems face significant security challenges that current regulatory frameworks and validation practices do not adequately address. We propose a multilayered defense ...