By feeding centuries-old nursery rhymes and folklore recordings into their own model, linguists in Louisiana hope to help a ...
Abstract: The resource-constrained edge devices are struggling with the rising computational demands of modern user applications with many dependent tasks. In this paper, we investigate the dependent ...
AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...
Humans are the only species known to use fully symbolic language: a system capable of expressing abstract ideas, imaginary worlds and endless combinations of meaning. But how did we get there? The ...
Abstract: Large Language Models (LLMs), as advanced AI technologies for processing and generating natural language text, bring substantial benefits to the Industrial Internet of Things (IIoT) by ...
AI automation typically requires task-level fixed costs, such as model training or fine-tuning. We develop a quantitative task-based framework in which automation depends jointly on relative marginal ...
There’s a common assumption that if someone starts learning a language when they are very young, they will quickly become fluent. Many people also assume that it will become much harder to learn a ...
As part of my Simply Explained series, I’ve been covering a range of student-centered instructional approaches, from project-based learning to experiential and inquiry-based learning. Today, I cover ...
Real-life language comprehension frequently requires nonliteral interpretation and inferences about speaker intent. What is the structure of these so-called pragmatic abilities? We applied a ...
A new study suggests that everyday multilingual habits—from chatting with neighbors to revisiting a childhood language—may help preserve memory, attention, and brain flexibility as we age. An ...
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