As expectations for refractive cataract surgery continue to rise, preoperative ocular surface optimization remains essential ...

Researchers have developed a systematic review that charts the evolution of artificial intelligence in generative design for steel modular structures, particularly steel box modular buildings, ...

Semiconductor / EDA: One of the World's Leading Chip Manufacturers is accelerating time-to-results across advanced electronic design automation (EDA) workloads. By expanding memory capacity, MEXT ...

AI tools infused with faculty expertise are intended to help students think through solutions while exploring and refining ...

To limit algorithmic addiction, regulators should set clear thresholds for how much compulsive engagement AI systems are ...

Abstract: Utilizing various auxiliary optimization problems (AOPs) to help the optimization for constrained multiobjective problems (CMOPs) has recently drawn substantial attention. However, two key ...

This staff editorial solely represents the majority view of The Crimson Editorial Board. It is the product of discussions at regular Editorial Board meetings. In order to ensure the impartiality of ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

Abstract: Transformers are essential components of electrical power systems, representing a significant capital investment and requiring optimized designs to balance efficiency, cost, and performance.

Modern seismic codes ensure life safety, but code-compliant buildings can still suffer significant economic losses from earthquake-induced damage, even during moderate events. Performance-Based ...

We present BOCoDe, a Python and PyTorch-based library that contains the most comprehensive suite of engineering design optimization problems and an interface to popular synthetic optimization problems ...