The smartest way to use AI may not be letting it interact with your files, but asking it to write software that handles them ...

The core of the course are several projects in different areas of mathematical statistics and its applications (e.g., finance, bioinformatics). Each project contains a number of problems to be solved ...

Abstract: This paper presents a linear-programming (LP)-based dynamic optimization framework for coordinated electric vehicle (EV) charging in a 16 -bus low-voltage distribution network. The framework ...

Are you looking to develop the skills to solve real-world challenges in finance, risk management, and insurance? These fields often deal with unpredictable phenomena—like investment decisions, ...

GitHub Copilot has pushed AI-assisted programming well beyond code generation and code chat, with new capabilities continuing to arrive at a rapid pace. In 2014, Microsoft Research released an ...

Large language models (LLMs) by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get ...

Abstract: The analysis of stochastic electromagnetic fields is gaining more and more relevance due to the exponential growth of complex high-performance electronic systems. Stochastic electromagnetic ...

PyPSA stands for Python for Power System Analysis. It is pronounced pipes-ah. PyPSA is an open-source Python framework for optimising and simulating modern power and energy systems that include ...

AI coding assistants are here to stay—but just how big a difference they make is still unclear. Two weeks into the coding class he was teaching at Duke University in North Carolina this spring, Noah ...