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

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.

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 ...

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 ...

Researchers at Skoltech have proposed a new approach to training neural networks for wave propagation in absorbing media. The ...

Quanscient and Haiqu ran what they describe as the most physically complex quantum CFD simulation to date on real IBM quantum ...

The field of cancer immunology has undergone significant transformation over the past decade, reshaping our understanding of tumor–immune system ...

Six months after the ceasefire, Gaza is still suffering. As the Middle East crisis escalates, tell Congress to act. Oxfam partners are trying to get food, clean water, and medicine to desperate ...

Abstract: This paper concentrates on a fault detection-based performance recovery control scheme using an actuator replacing method. The main procedure includes: 1) an integral sliding-mode (ISM) ...