International Monetary Fund

Nowcasting Growth Using the Bayesian Structural Time Series Model

In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term ...
eWeek

Xiaomi's Hunter Alpha Ends DeepSeek Hype

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
IEEE

A Deep Learning-Based Approach for Two-Phase Flow Pattern Classification Using Void Fraction Time Series Analysis

Abstract: Flow regime classification is essential for analyzing and modeling two-phase flows, as it demarcates the flow behavior and influences the selection of appropriate predictive models. Machine ...
UC San Diego Today

A UC San Diego Tool Teaching Code to 25 Million is Even More Critical in Age of AI

UC San Diego cognitive scientist Philip Guo created Python Tutor, a free tool that makes code “visible” step by step. The research behind it earned a Test of Time award, recog ...
IEEE

Deep Learning for Time-Series Forecasting With Exogenous Variables in Energy Consumption: A Performance and Interpretability Analysis

Abstract: The rise of decentralized energy sources and renewables demands advanced grid planning, with short-term load forecasting (STLF) playing a crucial role. Energy demand in smart grids is highly ...