Background The integration of artificial intelligence (AI) with nuclear magnetic resonance
(NMR) spectroscopy is emerging as a transformative approach in food component analysis …

Since the isolation of graphene, the interest in two-dimensional (2D) materials has been
steadily growing thanks to their unique chemical and physical properties, as well as their …

Large language models (LLMs) are fundamentally transforming human-facing applications
in the health and well-being domains: boosting patient engagement, accelerating clinical …

ChatGPT uses a so called Large Language Model (LLM) to provide textual output of
analyzed data. Those LLMs are one example for Generative Artificial Intelligence (AI), which …

In the emerging field of computational gastronomy, aligning culinary practices with
scientifically supported nutritional goals is increasingly important. This study explores how …

Data from online product reviews offers a novel avenue for the sensory characterisation of
food. But, little research has investigated the quality of sensory information in the online …

This study explores the effectiveness of Large Language Models in meal planning, focusing
on their ability to identify and decompose compound ingredients. We evaluated three …

ABSTRACT1 Chatbots and the technology behind them are widely used in many places and
in various ways. Retrieval Augmented Generation AI framework has gained its popularity by …

This study explores how users perceive the role of Artificial Intelligence (AI) in various
culinary scenarios. Using a hybrid model that combines Partial Least Squares Structural …

The challenge of managing household food waste has garnered significant attention due to
its environmental and economic impacts. This study evaluates the performance of OpenAI's …