Public sector modernization demands more than cloud migration. Drawing on two decades of enterprise architecture experience, ...

If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation ...

Azul, the only company 100% focused on Java, today announced continued momentum in its global channel program, marked by a shift toward continued elevation of the program's strategic leadership and ...

Abstract: Current state-of-the-art plug-and-play countermeasures for mitigating adversarial examples (i.e., purification and detection) exhibit several fatal limitations, impeding their deployment in ...

Frameworks like Spring Boot remain dominant in backend and microservices development thanks to mature ecosystems and extensive support. Cloud-native Java frameworks such as Quarkus and Micronaut focus ...

Section 1. Purpose. United States leadership in Artificial Intelligence (AI) will promote United States national and economic security and dominance across many domains. Pursuant to Executive Order ...

Abstract: Deep neural networks are known to be susceptible to imperceptible adversarial perturbations. Many studies aim to interpret adversarial examples in the frequency domain. However, existing ...

What if I told you that the difference between mediocre AI outputs and truly fantastic results often boils down to a single skill? In 2026, as AI systems like GPT, Claude, and Gemini dominate ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

The first decision to kick off a greenfield Java project usually sounds breezy: "Let's start with Spring Boot, it's everywhere." A few days in, someone mutters that Quarkus boots faster and saves ...