Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.

Abstract: As the core hub for carrying various blockchain applications upstream and connecting network infrastructure downstream, blockchain infrastructure provides necessary storage, transmission, ...

Abstract: Large Language Models (LLMs) are finding their way into Software Engineering by assisting with tasks such as code generation. Furthermore, LLMs might have a potential to perform even more ...

Cross-functional pairing is a valuable collaborative technique where two people from different roles or disciplines work together on the same task. It is a way of breaking down the common silos that ...

Abstract: Software fault prediction is a critical aspect of software engineering aimed at improving software quality and reliability. However, it faces significant challenges, including the class ...

Climate change is driving profound alterations in terrestrial ecosystems, reshaping precipitation regimes, temperature patterns, soil chemistry and vegetation dynamics. Microorganisms, as central ...

Abstract: This paper provides a survey of the emerging area of Large Language Models (LLMs) for Software Engineering (SE). It also sets out open research challenges for the application of LLMs to ...

Abstract: Megaprojects are large-scale, complex, and one-off engineering endeavors that require significant investments from a public or private sector. Such projects generally cost more than a ...