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

Abstract: Real-world constrained multiobjective optimization problems (CMOPs) are prevalent and often come with stringent time-sensitive requirements. However, most contemporary constrained ...

The use of machine learning (ML) and artificial intelligence (AI) in power converters represents the latest development in ...

The AACE update to its 2026 algorithm for the management of type 2 diabetes includes a new section on diabetes classification.

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Electrical distribution systems are characterized by dynamic operating conditions and complex network topologies, which pose significant challenges for the effective deployment of protection schemes.

SEO in 2026 is defined by structured architecture, intelligent automation, and strategic budgeting. Internal linking tools have become essential infrastructure for scalable optimization. They improve ...

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

Abstract: Parallel Bayesian optimization is crucial for solving expensive black-box problems, yet batch acquisition strategies remain a challenge. To address this, we propose a novel parallel ...