AIMC Topic: Learning

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Surface and deep learning: a blended learning approach in preclinical years of medical school.

BMC medical education Sep 19, 2024
BACKGROUND: Significant challenges are arising around how to best enable peer communities, broaden educational reach, and innovate in pedagogy. While digital education can address these challenges, digital elements alone do not guarantee effective le...
Learning Female Male Deep Learning Students, Medical Humans Surveys and Questionnaires Curriculum Education, Distance Schools, Medical Education, Medical, Undergraduate
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Teaching Motor Skills Without a Motor: A Semi-Passive Robot to Facilitate Learning.

IEEE transactions on haptics Sep 19, 2024
Semi-passive rehabilitation robots resist and steer a patient's motion using only controllable passive force elements (e.g., controllable brakes). Contrarily, passive robots use uncontrollable passive force elements (e.g., springs), while active robo...
Adult Female Male Equipment Design Humans Feedback, Sensory Motor Skills Robotics Young Adult Touch Perception Learning
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Learning by thinking in natural and artificial minds.

Trends in cognitive sciences Sep 18, 2024
Canonical cases of learning involve novel observations external to the mind, but learning can also occur through mental processes such as explaining to oneself, mental simulation, analogical comparison, and reasoning. Recent advances in artificial in...
Humans Artificial Intelligence Thinking Learning
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Elements of episodic memory: insights from artificial agents.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Sep 16, 2024
Many recent artificial intelligence (AI) systems take inspiration from biological episodic memory. Here, we ask how these 'episodic-inspired' AI systems might inform our understanding of biological episodic memory. We discuss work showing that these ...
Decision Making Memory, Episodic Artificial Intelligence Learning Humans
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AI-induced hyper-learning in humans.

Current opinion in psychology Sep 11, 2024
Humans evolved to learn from one another. Today, however, learning opportunities often emerge from interactions with AI systems. Here, we argue that learning from AI systems resembles learning from other humans, but may be faster and more efficient. ...
Learning Problem Solving Humans Artificial Intelligence
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Supporting Trustworthy AI Through Machine Unlearning.

Science and engineering ethics Sep 11, 2024
Machine unlearning (MU) is often analyzed in terms of how it can facilitate the "right to be forgotten." In this commentary, we show that MU can support the OECD's five principles for trustworthy AI, which are influencing AI development and regulatio...
Artificial Intelligence Machine Learning Trust Learning Humans
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Understanding Learning from EEG Data: Combining Machine Learning and Feature Engineering Based on Hidden Markov Models and Mixed Models.

Neuroinformatics Sep 10, 2024
Theta oscillations, ranging from 4-8 Hz, play a significant role in spatial learning and memory functions during navigation tasks. Frontal theta oscillations are thought to play an important role in spatial navigation and memory. Electroencephalograp...
Learning Female Young Adult Machine Learning Brain Electroencephalography Markov Chains Spatial Navigation Adult Male Humans Theta Rhythm
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A developmental model of audio-visual attention (MAVA) for bimodal language learning in infants and robots.

Scientific reports Sep 3, 2024
A social individual needs to effectively manage the amount of complex information in his or her environment relative to his or her own purpose to obtain relevant information. This paper presents a neural architecture aiming to reproduce attention mec...
Robotics Attention Language Development Auditory Perception Visual Perception Learning Infant Humans Language
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Selective consistency of recurrent neural networks induced by plasticity as a mechanism of unsupervised perceptual learning.

PLoS computational biology Sep 3, 2024
Understanding the mechanism by which the brain achieves relatively consistent information processing contrary to its inherent inconsistency in activity is one of the major challenges in neuroscience. Recently, it has been reported that the consistenc...
Brain Learning Computational Biology Humans Neural Networks, Computer Unsupervised Machine Learning Perception Nerve Net Neuronal Plasticity Models, Neurological
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Delay learning based on temporal coding in Spiking Neural Networks.

Neural networks : the official journal of the International Neural Network Society Aug 31, 2024
Spiking Neural Networks (SNNs) hold great potential for mimicking the brain's efficient processing of information. Although biological evidence suggests that precise spike timing is crucial for effective information encoding, contemporary SNN researc...
Humans Neural Networks, Computer Algorithms Models, Neurological Learning Action Potentials Time Factors Neurons
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