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, then manufactured the result and watched it move across a lab bench. The ...

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, ...

The application of artificial intelligence (AI) in drug discovery is revolutionizing the field, offering unprecedented opportunities for accelerating the ...

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

Abstract: In the production process, spare parts are assembled to become products. To improve product quality and reduce cost, it is required to determine whether to detect the quality of spare parts, ...

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: Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better ...