Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

Why PECOTA’s Reds Projection Doesn’t Tell the Whole Story ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Algorithms aren’t acting maliciously. They’re doing what they were built to do. That’s why algorithmic bias in marketing is an ownership issue and a leadership concern.

MusicDog.ai is a cutting-edge generative AI platform that focuses on music creation and audio processing through the application of large language models and deep learning technologies. The platform ...

Abstract: Quantum-inspired algorithms have attracted considerable attention for their effective approach to addressing various optimization problems, drawing inspiration from quantum properties. This ...

Published in Nature, the study details the first large-scale demonstration of a photonic Ising machine operating without the ...

Abstract: Problem transformation-based multiobjective evolutionary algorithms (MOEAs) face the risk of losing optimal solutions when transforming a large-scale multiobjective optimization problem into ...