Multimodal Input Aids a Bayesian Model of Phonetic Learning [PDF]
One of the many tasks facing the typically-developing child language learner is learning to discriminate between the distinctive sounds that make up words in their native language. Here we investigate whether multimodal information--specifically adult speech coupled with video frames of speakers' faces--benefits a computational model of phonetic ...
arxiv
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci+4 more
wiley +1 more source
Developmental dyslexia: specific phonological deficit or general sensorimotor dysfunction? [PDF]
Dyslexia research is now facing an intriguing paradox: it is becoming increasingly clear that a significant proportion of dyslexics present sensory and motor deficits; however, as this “sensorimotor syndrome” is being studied in greater detail, it is ...
Ramus, Dr Franck
core
Gamified discrimination tests for speech therapy applications
The integrity of phonetic perception abilities is necessary for a normal functioning future speech development. Since the ability to discriminate linguistic sounds is typically associated to the correct acquisition and production of the same sounds, an alteration of this ability could contribute to the onset of speech and language disorders ...
Origlia A+7 more
openaire +2 more sources
Machine Learning‐Assisted Simulations and Predictions for Battery Interfaces
This review summarizes machine learning (ML)‐assisted simulations and predictions at battery interfaces. It highlights how employing ML algorithms with machine vision, enables the lithium dendrite growth simulation, the solid–electrolyte interphase formation, and other interfacial dynamics.
Zhaojun Sun+4 more
wiley +1 more source
Bioinspired Tactile Object Identification Leveraging Deep Learning and Soft Body Compliance
Herein, it is demonstrated that a soft robotic hand, integrated with low‐resolution tactile sensors, can effectively identify a variety of objects with high accuracy by combining multi‐grasp information. Central to this approach is the development of ROSE‐Net, a specialized neural network designed to harness the data from multiple grasps.
Oliver Shorthose+3 more
wiley +1 more source
A Proactive Agent Collaborative Framework for Zero‐Shot Multimodal Medical Reasoning
This work proposes a multimodal medical collaborative reasoning framework, which imitates clinician's working patterns of comparative analysis. The framework includes a cohort of domain‐expert models, and an large language model learner agent to generate inquiries and interact with these experts to gather the essential information, and integrate the ...
Zishan Gu+4 more
wiley +1 more source
Applied Artificial Intelligence in Materials Science and Material Design
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel+7 more
wiley +1 more source
Energy‐Efficient Online Training with In Situ Parallel Computing on Electrochemical Memory Arrays
By leveraging the intrinsic functionalities of electrochemical random‐access memory, the conductance response to pulse amplitude and quantity enables stochastic multiplication and parallel outer‐product operations between two vectors. This approach significantly accelerates weight gradient computations while reducing time complexity, latency, and ...
Yingming Lu+7 more
wiley +1 more source
A limit on behavioral plasticity in speech perception. [PDF]
It is well attested that we perceive speech through the filter of our native language: a classic example is that of Japanese listeners who cannot discriminate between the American /l/ and /r/ and identify both as their own /r/ phoneme (Goto, 1971 ...
Bosch, L.+2 more
core +1 more source