QUT researchers have developed a pioneering mathematical framework to help "pick winners" and maximize limited funding and ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...

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 ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

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. 🚀🐍 ...

Universe may revolve once every 500 billion years — and that could solve a problem that threatened to break cosmology News By Elana Spivack published April 18, 2025 ...

Abstract: A novel Consensus-Based Particle Swarm Optimization-Guided Surrogate-Enhanced Methodology (ACP-S) is developed to solve expensive black-box optimization (EBBO) problems. ACP-S formed form ...

Abstract: Optimization problems aim to identify the best solution from a wide range of possibilities. The Particle Swarm Optimization (PSO) algorithm is widely recognized for its simplicity and ...

Complex organizational problems and chaos are silent killers of productivity and innovation. In today’s fractured work environment, they are more prevalent than ever. Political transitions, ...