This Research Topic of Frontiers in Education invites empirical research that examines how artificial intelligence (AI) tools ...

Abstract: Set similarity search, as a foundational operation in data processing with diverse applications in different domains, has been extensively studied. However, in the era of big data where sets ...

A conversation with the assistant provost for innovations in learning, teaching and technology.

Background: Differentiated thyroid cancer (DTC) incidence is rapidly rising worldwide. While most cases have a favorable prognosis, a subset of patients develop aggressive disease with distant ...

New research has found similarities in how humans and artificial intelligence integrate two types of learning, offering new insights about how people learn as well as how to develop more intuitive AI ...

There was an error while loading. Please reload this page. Data_preprocessing_and_feature_selction.py contains Python code focused on preprocessing data and selecting ...

Understanding real-world videos with complex semantics and long temporal dependencies remains a fundamental challenge in computer vision. Recent progress in multimodal large language models (MLLMs) ...

Abstract: Parameter-efficient transfer learning (PETL), i.e., finetuning a small portion of parameters, is an effective strategy for adapting pre-trained models to downstream domains. To further ...