As the tech industry grapples with a "developer crisis," the emergence of AI coding tools has been hailed as a potential solution for boosting productivity and speeding up code delivery. However, despite these promising benefits, numerous challenges and limitations accompany the real-world
As AI and ML technologies continue to revolutionize various industries, they bring about extraordinary enhancements such as fraud detection in financial sectors and advancements in diagnostic imaging within healthcare. Despite the transformative potential of these technologies, their integration
As artificial intelligence (AI) and machine learning (ML) continue to grow and become more integral to organizational processes, the necessity for robust security measures has never been more critical. With AI increasingly utilized for creating, sharing, and storing data, there is a heightened
Low-code/no-code (LCNC) platforms are revolutionizing how applications are developed by simplifying and expediting software creation, allowing a broader range of individuals to engage in the development process. Historically viewed as supplementary tools within an organization's tech stack, LCNC
In today’s rapidly evolving technological landscape, software enterprises are at a pivotal point where the integration of Machine Learning (ML) and Artificial Intelligence (AI) is no longer a novelty but a strategic necessity to stay competitive and innovative. These advanced technologies are
The field of artificial intelligence has made significant strides in recent years, particularly in the realm of mathematical reasoning. Researchers from HKUST (GZ), HKUST, NTU, and Squirrel AI have proposed a comprehensive analytical framework to scrutinize the capabilities and limitations of
