Our approach introduces the first general Learning-to-Optimize (L2O) framework designed for Mixed-Integer Nonlinear Programming (MINLP). As illustrated above, the approach consists of two core ...

In many countries, hydropower provides a dominant share of the electricity supply. This dependence brings environmental ...

Abstract: This paper presents a Sequential Convex Programming (SCP) framework for solving nonconvex optimal control problems with improved numerical efficiency and robustness. The proposed algorithm ...

Abstract: With the increasing penetration of voltage-source converters (VSC), unknown dynamics pose severe challenges to high-proportion renewable energy power systems. However, there is currently a ...

This project models a basic inverting amplifier using Python code generated by an AI large language model. AI could help ...

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

The airport’s location right by the ocean posed geotechnical challenges including extreme amounts of groundwater.

In 2025, 12 billionaires controlled more wealth than half the world. How did we get here and what can we do to redistribute wealth?