Abstract: Traditional optimization-based techniques for time-synchronized state estimation (SE) often suffer from high online computational burden, limited phasor measurement unit (PMU) coverage, and ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

The ideas presented in George Lakoff and Srini Narayanan's The Neural Mind are fascinating, but the writing is far less ...

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...