High-performance computing has become crucial for various businesses, including scientific research and Artificial Intelligence (AI), in today’s data-driven society. By providing strong, scalable, and ...

The quest to strengthen national security has faced several challenges over the years, especially as the pace of technological advancement has far outstripped the speed of legislative and bureaucratic ...

The quantum tunneling (QT) effect discovered in the 1920s was a major achievement in the field of quantum mechanics. Since there is a major fundamental difference between artificial and biological ...

Understanding the different forms and future directions of Artificial Intelligence (AI) is becoming increasingly important as it evolves. Artificial Narrow Intelligence (ANI), Artificial General ...

Video generation has rapidly become a focal point in artificial intelligence research, especially in generating temporally consistent, high-fidelity videos. This area involves creating video sequences ...

A fundamental challenge in studying EEG-to-Text models is ensuring that the models learn from EEG inputs and not just memorize text patterns. In many reports in the literature where great results have ...

In the rapidly evolving field of artificial intelligence, the focus often lies on large, complex models requiring immense computational resources. However, many practical use cases call for smaller, ...

In today’s world, building robotic policies is difficult. It often requires collecting specific data for each robot, task, and environment, and the learned policies do not generalize beyond these ...

The advent of AI has revolutionized the landscape of graphic design. AI graphic design tools are reshaping the way designers work, offering unprecedented efficiency, creativity, and innovation. These ...

Information overload presents significant challenges in extracting insights from documents containing both text and visuals, such as charts, graphs, and images. Despite advancements in language models ...

Foundation models hold promise in medicine, especially in assisting complex tasks like Medical Decision-Making (MDM). MDM is a nuanced process requiring clinicians to analyze diverse data sources—like ...

In today’s data-driven world, data analysts play a crucial role in various domains. Businesses use data extensively to inform strategy, enhance operations, and obtain a competitive edge. Professionals ...