Introduction The exponential growth of scientific literature presents a unique dual-edged sword. On one side, it reflects the thriving nature of global research and innovation, with new findings constantly pushing the boundaries of what we know. On the other

Introduction Artificial Intelligence (AI) has witnessed remarkable growth in recent years, evolving from simple, rule-based algorithms to sophisticated systems capable of learning, adapting, and performing complex tasks. A major catalyst in this evolution is NeuroAI, a rapidly emerging field at

Introduction As artificial intelligence (AI) becomes ubiquitous across industries—from autonomous vehicles and healthcare to smart cities, industrial automation, and robotics—the demand for faster, more efficient computing architectures is surging. Traditional digital processors such as CPUs and GPUs, while powerful, are

The rapid advancement of artificial intelligence (AI) technologies is reshaping the labor market in profound ways. While AI has the potential to enhance productivity and create new job opportunities, it also poses significant challenges, including job displacement and the need

  In recent years, the field of machine learning has witnessed significant advancements, particularly in the area of deep learning. Among the various architectures that have emerged, Graph Neural Networks (GNNs) have gained prominence for their ability to model complex

Genomic sequencing has revolutionized the field of biology and medicine, enabling researchers to decode the genetic information contained within organisms. This technology has profound implications for understanding diseases, developing personalized medicine, and advancing biotechnology. However, traditional genomic sequencing methods can