MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Overview: Cloud-native and microservices architectures are becoming even more central to modern applications, with Java and ...

Abstract: The rapid growth of machine learning (ML) technologies has raised significant concerns about their environmental impact, particularly regarding energy consumption and carbon emissions. This ...

OpenJDK project teams will focus work on features such as value types, code reflection, AOT compilation, and structured ...

Abstract: One of the prominent challenges encountered in real-world data is an imbalance, characterized by unequal distribution of observations across different target classes, which complicates ...