The landscape of application development is undergoing a significant transformation, driven by the rise of low-code/no-code (LCNC) platforms. These platforms are democratizing technology, making it possible for even non-technical users to create sophisticated applications. With businesses
The increasing volume of data in various fields such as retail, healthcare, and finance has made association rule mining a critical technique for uncovering significant patterns and relationships. This technique enables analysts and decision-makers to better understand customer behavior, manage
The integration of generative AI and low-code platforms is revolutionizing the business landscape by driving significant improvements in business operations and software development processes. By leveraging these technologies, businesses can enhance operational efficiency, streamline processes, and
In recent advancements in AI technology, researchers at Carnegie Mellon University (CMU) have introduced an innovative AI framework known as TNNGen, which is designed to automate the development of Temporal Neural Networks (TNNs) for Neuromorphic Sensory Processing Units (NSPUs). The laborious
Meta has embarked on a comprehensive initiative to convert its entire Android codebase from Java to Kotlin. This complex transformation, which spans several million lines of code, aims to maximize developer productivity and enhance null safety. The transition, prioritized after developers expressed
Agentic AI systems, by enabling sophisticated workflows through the collaboration of multiple specialized agents, have revolutionized various industries. These systems enhance efficiency in sectors like market research, healthcare, and enterprise management by automating decision-making and
