Researchers from the National University of Singapore (NUS) have developed artificial intelligence (AI) methods that learn the large-scale behavior of complex materials from microscopic data. By ...
Subseasonal forecasting, or the ability to predict weather trends two weeks to two months in advance, is a capability highly ...
In an increasingly competitive job market, some applicants are quietly trying to outsmart AI hiring tools. Now, new research ...
This class is a graduate-level introduction to Natural Language Processing (NLP), the study of computing systems that can process, understand, or communicate in human language. The course covers ...
EAT is an audio SSL model with high effectiveness and efficiency during self-supervised pre-training. You can find details in the paper EAT: Self-Supervised Pre-Training with Efficient Audio ...
CodeTF is a one-stop Python transformer-based library for code large language models (Code LLMs) and code intelligence, provides a seamless interface for training and inferencing on code intelligence ...
Abstract: Given the overwhelming and rapidly increasing volumes of the published biomedical literature, automatic biomedical text summarization has long been a highly important task. Recently, great ...
Abstract: Code summarization is the process of automatically generating brief and informative summaries of source code to aid in software comprehension and maintenance. In this paper, we propose a ...
The effective analysis methods for steady-state visual evoked potential (SSVEP) signals are critical in supporting an early diagnosis of glaucoma. Most efforts focused on adopting existing techniques ...
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