My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...

Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

AI hallucination is often misread as creativity. This explains why it’s a symptom of optimization fatigue, and what that means for innovation, brands, and culture.

Each year when MD+DI editors sit down to discuss Medtech Company of the Year prospects, the companies that rise to the top for us tend to be those that have had a transformational year either through ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Abstract: Traditional design methods for power module packaging heavily rely on manual experiences. Although the computer-aided optimization (CAO) methods utilizing metaheuristic algorithms for ...

1 Guangzhou Institute of Building Science Group Co., Ltd., Guangzhou, Guangdong, China 2 Glenn Department of Civil Engineering, Clemson University, Clemson, SC, United States Modern seismic codes ...

Abstract: This study proposes a dual-objective optimization framework for quality and cost control in electronics manufacturing, integrating Bayesian inference and discrete optimization. A ...