Machine Learning Meets Mental Training -- A Proof of Concept Applied to Memory Sports
Emanuele Regnani

TL;DR
This paper demonstrates a practical integration of machine learning with Memory Sports, aiming to enhance understanding and development of this mental training discipline through a novel interdisciplinary approach.
Contribution
It presents a proof of concept for applying machine learning techniques to Memory Sports, encouraging further research and innovation in this combined field.
Findings
Initial implementation shows potential for improving memory training methods.
The approach raises awareness of the benefits of combining AI with mental sports.
Encourages future research in machine learning applications for mental training.
Abstract
This work aims to combine these two fields together by presenting a practical implementation of machine learning to the particular form of mental training that is the art of memory, taken in its competitive version called "Memory Sports". Such a fusion, on the one hand, strives to raise awareness about both realms, while on the other it seeks to encourage research in this mixed field as a way to, ultimately, drive forward the development of this seemingly underestimated sport.
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Taxonomy
TopicsTopic Modeling
