AI

The growing reliance on video data in machine learning applications has exposed several challenges in video decoding. Extracting meaningful frames or sequences…

A Deep Neural Network (DNN) is an artificial neural network that features multiple layers of interconnected nodes, also known as neurons. These…

As artificial intelligence (AI), machine learning (ML), and high-performance computing (HPC) become central to innovation across industries, they also bring challenges that…

Large language models have made impressive strides in understanding natural language, solving programming tasks, and tackling reasoning challenges. However, their high computational…

Drug-induced toxicity is a major challenge in drug development, contributing significantly to the failure of clinical trials. While efficacy issues account for…

Diffusion models are closely linked to imitation learning because they generate samples by gradually refining random noise into meaningful data. This process…

Information Retrieval (IR) systems used in search and recommendation platforms frequently employ Learning-to-Rank (LTR) models to rank items in response to user…