As biological data volume continues to grow, sequence-based AI is poised to become the dominant discovery layer across pharma ...
Cheng, R. , Liu, J. , Hao, L. and Wu, D. (2026) On the Application of the Infinitesimal Method to Two Categories of Problems in College Physics. Open Journal of Social Sciences, 14, 378-389. doi: ...
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: Solving discrete optimization problems is one of the most promising use cases on quantum computers. The libraries quark and quapps provide an easily usable, modular workflow to encode ...
Generative engine optimization (GEO) has quickly become one of the most important – and debated – topics in search. Some dismiss it as little more than SEO rebranded, but the reality is that GEO ...
A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...
In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...
Ising machines demonstrate significant potential to tackle computationally complex challenges, including combinatorial optimization problems related to logistics, manufacturing, finance, and AI. The ...
College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results