AIOps isn’t just a buzzword — it helps teams predict issues before they happen and fix them automatically with smart, ...

Abstract: This study was conducted on how to optimize the basic design of a cast resin transformer using the scipy method of Python and the permutation with repetition method. All possible design ...

Abstract: Recently, considerable research efforts have been directed toward multimodal optimization problems in consumer electronics. Given the existence of multiple equally significant solutions ...

Remote-controlled robot rabbits are being deployed to help tackle Florida’s invasive python problem. The Burmese python threatens the ecosystem of the Everglades by preying on wildlife, including ...

US quantum computing company IonQ and the Oak Ridge National Laboratory report having demonstrated how the power of quantum can support grid operators to meet emerging challenges. The demonstration ...

Learn how to implement Adam optimization from the ground up in Python! This step-by-step guide will walk you through the algorithm's mechanics and how to use it in machine learning projects. 🚀🐍 ...

Learn how to implement the AdaMax optimization algorithm from scratch in Python. A great tutorial for understanding one of the most effective optimizers in deep learning. Russian lawmaker issues ...

This workshop on Engineering Design Optimization using MATLAB® and Python™ addresses the shape optimization of mechanical components for strength. Python ...

Annealing processors (APs) are gaining popularity for solving complex optimization problems. Fully-coupled Ising model APs are especially valued for their flexibility, but balancing capacity (number ...