Abstract: The signals from human expressions are usually multimodal, including natural language, facial gestures, and acoustic behaviors. A key challenge is how to fuse multimodal time-series signals ...
In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...
Abstract: Asynchronous Federated Learning (AFL) has emerged as a promising paradigm to address the challenges posed by heterogeneous device environments in federated learning systems. However, the ...
As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...
On March 3, the Center for Teaching, Learning, and Assessment launched an asynchronous AI in Teaching and Learning Institute. This modular course introduces instructors to strategies and pathways for ...
School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland 4072, Australia ...
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