Turn information overload into actionable insight and gain understanding of the macroeconomic elements driving market actions.
Abstract: Heavy rainfall prediction is crucial for various applications such as flood forecasting, water resource management, and agriculture. In this study, we propose a multi linear regression ...
Abstract: The multifidelity approach is a promising way to efficiently train the neural network which can be used to estimate the electromagnetic (EM) responses of metasurfaces. Empirical formulas or ...
Researchers from Cornell and Google introduce a unified Regression Language Model (RLM) that predicts numeric outcomes directly from code strings—covering GPU kernel latency, program memory usage, and ...