Industrial AI is moving toward applications, as manufacturers concentrate investment where realized value is greater.

A team at Northwestern University used artificial intelligence to evolve robot body plans inside a physics simulation, then physically assembled the top-performing designs and turned them loose on ...

A team led by Northwestern University’s Sam Kriegman built an AI system that designed a walking robot from scratch in seconds ...

Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...

Open-ended genetic algorithm approach achieves breakthrough results in precision and explainabilityReston, Va., March 16, 2026 (GLOBE NEWSWIRE) -- Noblis, a leading provider of science, technology, ...

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

In most boardrooms, the final decision still comes down to a small circle of leaders weighing a narrow set of choices. Yet the problems they face now contain thousands, sometimes millions, of possible ...

Abstract: Quantum computing combined with machine learning, is a promising emerging field for tackling problems that are extremely expensive or fundamentally infeasible for classical computers.

Abstract: Dynamic multiobjective optimization problems (DMOPs) frequently arise in real-world applications, where environments evolve over time. A central challenge in solving DMOPs is the ability to ...