A team at Northwestern University used artificial intelligence to evolve robot body plans inside a physics simulation, then ...

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, ...

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 ...

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...

Automated detection of metallophore biosynthesis reveals that metal-chelating non-ribosomal peptides are widespread, chemically diverse, and deeply rooted in bacterial evolution.

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...

See /GLS/README.md for detailed documentation of this innovation. Population size: 200 Maximum generations: 300 Random mating probability (RMP): 0.4 Mutation rate: 0. ...