When developers ask AI assistants to write charting code, something predictable happens. The AI generates property names that do not exist. If the developer uses that code, it will not compile — and ...
Gigasoft releases ProEssentials v10 with GPU compute shaders and publishes six-part WPF chart library comparison for ...
Abstract: Adversarial examples are important to test and enhance the robustness of deep code models. As source code is discrete and has to strictly stick to complex grammar and semantics constraints, ...
JQ-By-Example solves a common developer problem: you know what JSON transformation you want, but writing the correct jq filter is tricky. Simply provide example input/output pairs, and JQ-By-Example ...
Abstract: Agile Product-Based Learning (Agile PdBL) promotes rapid product development in educational settings but often results in challenges related to code structure and maintainability. While ...
Tools for translating natural language into code promise natural, open-ended interaction with databases, web APIs, and other software systems. However, this promise is complicated by the diversity and ...
Everyone’s talking about JSON prompting like it’s the next big thing in AI. Look, here’s the deal. Just like every other “revolutionary” AI technique that gets hyped up, JSON prompting isn’t the only ...
Meta has refused to sign the European Union’s code of practice for its AI Act, weeks before the bloc’s rules for providers of general-purpose AI models take effect. “Europe is heading down the wrong ...
The use of network meta-analysis (NMA) in sport and exercise medicine (SEM) research continues to rise as it enables the comparison of multiple interventions that may not have been assessed in a ...
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