Collaborative Optimization of Automotive Suspension Dampers Based on PERA Intelligent Solutions

This case study demonstrates the deep collaborative capability of the PERA intelligent solution with traditional CAE tools ...
Communications of the ACM

Quantum Computing Research in the Arab World

The Wireless Research Center at the American University in Cairo has been contributing to advancing QC applications, ...
Scientific Research Publishing

A New Method to Predict the Mechanical Behavior for a Family of Composite Materials ()

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
Tech Xplore on MSN

Robotic assembly lines gain flexibility as algorithm plans tasks, teams and floor layouts

Developments in autonomous robotics have the potential to revolutionize manufacturing processes, making them more flexible, customizable, and efficient. But coordinating fleets of autonomous, mobile ...

AI Collaborative Learning: Understanding Deep Learning Chapter 7 - The Dual Art of Backpropagation and Initialization in AI's 'Neural Hub'

In the previous chapter, we learned various strategies to guide AI models 'down the mountain' (optimization algorithms), such as SGD and Adam. The core of these strategies relies on a key piece of ...
IEEE

Regulate DC-Link Voltage of DFIG based WECS During Three Phase Fault Conditions with Ant-Lion Optimization Control Algorithm

Abstract: Managing the DC-link voltage at steady state mitigates the ripples and harmonics in the output voltage and current profile. Results, enhanced power quality can be achieved.A well-designed ...
techxplore

Can Microsoft's analog optical computer be the answer to more energy-efficient AI and optimization tasks?

The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid due to its intensive energy consumption. Digital computing's energy and ...
IEEE

Marine Predator Algorithm for Linear Antenna Arrays Optimization

Abstract: This paper introduces the Marine Predator Algorithm (MPA) for optimal pattern synthesis in linear antenna arrays. Its performance is evaluated in terms of Peak Sidelobe Level (PSLL), mean ...
C&EN

Cone-Shaped Constrained Quasi-Newton Method: Efficient and Robust Single-Ended Transition State Optimization Algorithm

State Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Center for Computational Chemistry and Research Institute of Industrial Catalysis, East China University of Science and ...
GitHub

SCE-UA: Shuffle Complex Evolution Algorithm for Optimization

SCE-UA is a lightweight Python package implementing the Shuffled Complex Evolution (SCE-UA) algorithm for global optimization. Designed primarily for hydrological model calibration, it leverages NumPy ...
GitHub

Professional AI Prompt Optimization, Debugging, and Sharing Platform

The AI Prompt Optimization Platform is a professional tool designed to help users optimize prompts for AI models, enhancing AI conversation effectiveness and response accuracy. The platform integrates ...