Large Language Models (LLMs), including the LLaMA model, have exhibited their efficacy
across various general-domain natural language processing (NLP) tasks. However, their …

Online video services are responsible for a large amount of global data traffic, which is why
wireless video caching has become a major focus in order to deal with the increasing …

Deep learning has emerged as a powerful method for extracting valuable information from
large volumes of data. However, when new training data arrives continuously (ie, is not fully …

The resource-hungry and time-consuming process of training Deep Neural Networks
(DNNs) can be accelerated by optimizing and/or scaling computations on accelerators such …

Laminography is a specialized 3D imaging technique optimized for examining flat,
elongated structures. Laminographic reconstruction is the process of generating 3D volume …

Deep learning has emerged as a powerful method for extracting valuable information from
large volumes of data. However, when new training data arrives continuously (ie, is not fully …

The need for real-time processing to enable automated decision making and experimental
steering has driven a shift from high-performance computing workflows on a centralized …

Despite significant advances, training deep learning models remains a time-consuming and
resource-intensive task. One of the key challenges in this context is the ingestion of the …

Practical natural language processing (NLP) tasks often exhibit long-tailed distributions
accompanied by noisy labels, posing significant challenges to the generalization and …

Data-intensive applications have attracted considerable attention from researchers in
information sciences and enterprises, as these applications have made evolutionary …