Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...

Researchers at the California NanoSystems Institute at UCLA published a step-by-step framework for determining the ...

If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation when suddenly the AI seems to lose track of the different ideas you have ...

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 ...

The generated code, as well as the altered glue file are in this directory:: GherkinExecutorForJava/src/test/java/gherkinexecutor/Feature_Examples at main · atdd-bdd ...

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 ...

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 ...

1 Independent Researcher, Park City, UT, United States 2 Department of Orthopaedics, Rush University Medical Center, Chicago, IL, United States Generative AI, powered by large language models, is ...

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 ...