Continuous tech-debt monitoring & governance Tech debt removal is typically reactive and ad-hoc exercise. AI can help run periodic scans, update debt scores, and feed insights into tech governance ...
If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation ...
OpenJDK project teams will focus work on features such as value types, code reflection, AOT compilation, and structured ...
When one accesses the getExtensions() method of an abstract class that implements ExtensionAware a java.lang.NoSuchMethodError is thrown. The conditions for this to ...
Abstract: Security is a challenging aspect of communications today that touches many areas including memory space, processing speed, code development and maintenance issues. When it comes to dealing ...
Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...
Abstract: This article studies the behavior of barrier function adaptation (BFA) in the presence of bounded deterministic noises with the known upper bound, both theoretically and experimentally. It ...
In today’s fast-paced software development environment, releasing features without compromising on quality has become a fundamental challenge. Enter feature flags—a powerful tool enabling teams to ...
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There are numerous frameworks for implementing evidence-based practices (EBPs) in novel settings to achieve “fidelity.” However, identifying appropriate referents for fidelity poses a challenge. The ...
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