AI

Sampling from complex probability distributions is important in many fields, including statistical modeling, machine learning, and physics. This involves generating representative data…

AI Video Generation has become increasingly popular in many industries due to its efficacy, cost-effectiveness, and ease of use. However, most state-of-the-art…

The advancement of AI model capabilities raises significant concerns about potential misuse and security risks. As artificial intelligence systems become more sophisticated…

Artificial intelligence systems are becoming integral to various aspects of society, yet understanding their real-world impact presents significant challenges. While user data…

Large language models (LLMs) trained on vast datasets of human language simulate logical and problem-solving abilities by following structured approaches. However, existing…

Designing accurate all-atom protein structures is a critical challenge in bioengineering, as it involves generating both 3D structural data and 1D sequence…

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…