AIMC Topic: Learning

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Predictive learning rules generate a cortical-like replay of probabilistic sensory experiences.

eLife
The brain is thought to construct an optimal internal model representing the probabilistic structure of the environment accurately. Evidence suggests that spontaneous brain activity gives such a model by cycling through activity patterns evoked by pr...

Tailored knowledge distillation with automated loss function learning.

PloS one
Knowledge Distillation (KD) is one of the most effective and widely used methods for model compression of large models. It has achieved significant success with the meticulous development of distillation losses. However, most state-of-the-art KD loss...

Current applications and outcomes of AI-driven adaptive learning systems in physical rehabilitation science education: A scoping review protocol.

PloS one
Rationale Integrating artificial intelligence (AI) into education has introduced transformative possibilities, particularly through adaptive learning systems. Rehabilitation science education stands to benefit significantly from the integration of AI...

Implications From the Analogous Relationship Between Evolutionary and Learning Processes.

BioEssays : news and reviews in molecular, cellular and developmental biology
Organismal evolution is a process of discovering better-fitting phenotypes through trial and error across generations. This iterative process resembles learning processes, an analogy recognized since the 1950s. Recognizing this parallel suggests that...

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

Science advances
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 (...

Encoding flexible gait strategies in stick insects through data-driven inverse reinforcement learning.

Bioinspiration & biomimetics
Stick insects exhibit remarkable adaptive walking capabilities across diverse environments; however, the mechanisms underlying their gait transitions remain poorly understood. Although reinforcement learning (RL) has been employed to generate insect-...

The effects of learning experience on college students' deep english learning: a study of the chain mediation effect of motivation and strategy.

PloS one
This study focuses on the impact of learning experience on college students' deep learning of English and the chain-mediated effects of motivation and strategy. In the context of globalization, English is crucial for university students, but traditio...

Leveling Up: Harnessing Cutting-Edge Technology to Enhance Oncology Education and Learning.

American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting
The integration and utilization of digital media, gamified learning strategies, and artificial intelligence (AI) are fundamentally transforming the landscape of oncology education and learning. These technologies collectively enhance knowledge dissem...

What are we learning with Yoga? Mapping the scientific literature on Yoga using a vector-text-mining approach.

PloS one
The techniques used in yoga have roots in traditions that precede modern science. Research shows that yoga enhances quality of life and well-being, positively impacting physical and mental health. As yoga gains acceptance in Western countries, scient...

Personalized learning in hybrid education.

Scientific reports
The process of teaching and learning during the pandemic has been evolving globally, with many institutions transforming their approaches to enhance the teaching and learning experience. Despite the presence of improved frameworks due to the varied l...