Abstract: Large Language Models (LLMs) are increasingly used by software engineers for code generation. However, limitations of LLMs such as irrelevant or incorrect code have highlighted the need for ...

The impetus for this Research Topic emerged from our collective work as editors in AI ethics, computational creativity, cognitive science, and human-AI interaction. In recent years, we have observed ...

According to @godofprompt on Twitter, in a direct comparison between Gemini 3.0 Pro, ChatGPT 5.1, and Claude Opus 4.5 using the prompt to create a JavaScript animation of a double or triple pendulum ...

Motor imagery (MI) electroencephalogram (EEG) decoding plays a critical role in brain–computer interfaces but remains challenging due to large inter-subject variability and limited training data.

There’s a certain kind of failure that keeps engineers up at night, especially in customer service. Like the one where an AI agent starts misrouting calls, and no one knows why. The model hasn’t ...

In 1975, before anyone had heard of “prompt engineering,” Brian Eno and Peter Schmidt created something called Oblique Strategies. It wasn’t software. It wasn’t a machine. It was a deck of cards ...

Microsoft Excel’s new COPILOT function lets users generate, summarize, and analyze data directly in spreadsheet cells using plain-language prompts. (Microsoft Image) Microsoft is building generative ...

In the era of Generative AI, most tools and applications rely heavily on user-provided prompts to generate meaningful and accurate outputs. However, many users struggle to craft effective prompts due ...