AIMC Topic: Mathematics

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Personalized deep neural networks reveal mechanisms of math learning disabilities in children.

Science advances Jun 6, 2025
Learning disabilities affect a substantial proportion of children worldwide, with far-reaching consequences for their academic, professional, and personal lives. Here we develop digital twins-biologically plausible personalized deep neural networks (...
Female Male Neural Networks, Computer Learning Mathematics Learning Disabilities Deep Learning Child Humans
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Awareness, acceptance, and adoption of Gen-AI by K-12 mathematics teachers: an empirical study integrating TAM and TPB.

BMC psychology May 6, 2025
In the 21st century, the variety of instructional media for mathematics has significantly diversified. Generative AI (Gen-AI) is one technology that K-12 teachers can utilize for teaching mathematics. However, as a new instructional medium, Gen-AI pr...
Humans Adult Male Artificial Intelligence Female Teaching Attitude Middle Aged Psychological Theory Mathematics Awareness School Teachers
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Fuzzy Set Theory Applied on Autometrized Algebra.

F1000Research Feb 4, 2025
This paper introduces fuzzy subalgebras of autometrized algebras and studies their properties. Also, we present fuzzy ideals of autometrized algebras and provide examples to illustrate our findings. We examine the homomorphisms of both the images and...
Mathematics Algorithms Fuzzy Logic
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Q-fuzzy structure on JU-algebra.

F1000Research Jan 20, 2025
BACKGROUND: JU-algebras, an important class in abstract algebra, are extended here by incorporating fuzzy set theory to handle uncertainty in algebraic structures. In this study, we apply the concept of Q-fuzzy sets to JU-subalgebras and JU-ideals in...
Algorithms Models, Theoretical Fuzzy Logic Mathematics
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A machine-learning model of academic resilience in the times of the COVID-19 pandemic: Evidence drawn from 79 countries/economies in the PISA 2022 mathematics study.

The British journal of educational psychology Sep 22, 2024
BACKGROUND: Given that students from socio-economically disadvantaged family backgrounds are more likely to suffer from low academic performance, there is an interest in identifying features of academic resilience, which may mitigate the relationship...
Humans Adult Male Mathematics Students Academic Performance Resilience, Psychological Female Machine Learning Self Efficacy Young Adult COVID-19 Adolescent
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Advanced technologies and mathematical metacognition: The present and future orientation.

Bio Systems Aug 26, 2024
The intersection of mathematical cognition, metacognition, and advanced technologies presents a frontier with profound implications for human learning and artificial intelligence. This paper traces the historical roots of these concepts from the Pyth...
Fuzzy Logic Bayes Theorem Metacognition Humans Robotics Learning Mathematics Artificial Intelligence Cognition
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Solving olympiad geometry without human demonstrations.

Nature Jan 17, 2024
Proving mathematical theorems at the olympiad level represents a notable milestone in human-level automated reasoning, owing to their reputed difficulty among the world's best talents in pre-university mathematics. Current machine-learning approaches...
Problem Solving Humans Mathematics Natural Language Processing
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Geometric Deep Learning sub-network extraction for Maximum Clique Enumeration.

PloS one Jan 16, 2024
The paper presents an algorithm to approach the problem of Maximum Clique Enumeration, a well known NP-hard problem that have several real world applications. The proposed solution, called LGP-MCE, exploits Geometric Deep Learning, a Machine Learning...
Machine Learning Deep Learning Algorithms Mathematics
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Incorrect Application of Yilmaz-Poli (2022) Initialisation Method in dePater-Mitici 2023 paper entitled "A mathematical framework for improved weight initialization of neural networks using Lagrange multipliers".

Neural networks : the official journal of the International Neural Network Society Sep 16, 2023
In this letter to the editor we report on a methodological error made in the article entitled "A mathematical framework for improved weight initialization of neural networks using Lagrange multipliers" by dePater and Mitici recently appeared in this ...
Neural Networks, Computer Mathematics
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Unveiling the benefits of multitasking in disentangled representation formation.

Trends in cognitive sciences Jun 23, 2023
Johnston and Fusi recently investigated the emergence of disentangled representations when a neural network was trained to perform multiple simultaneous tasks. Such experiments explore the benefits of flexible representations and add to a growing fie...
Humans Neural Networks, Computer Mathematics
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