As biological data volume continues to grow, sequence-based AI is poised to become the dominant discovery layer across pharma, biotech, and industrial biology. Ainnocence is expanding partnerships, ...

The modern enterprise software landscape demands professionals who can seamlessly navigate the complexities of full-stack ...

In the field of modern agricultural machinery, pneumatic conveying seed-discharge systems have been widely adopted due to ...

From the UCSB The Current article "Innovative Hardware for Rapidly Solving High-order Optimization Problems" The rise of AI, graphic processing, combinatorial optimization, and other data-intensive ...

Generative design helps engineers explore design, delivering 30-50% faster time-to-market, 10-50% weight reductions, and up ...

The future of urban green space might be written in code, according to research in the International Journal 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: Many engineering design optimization problems can be represented as mixed-variable optimization problems. This study presents a heuristic approach for solving mixed-variable optimization ...

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 ...

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 ...

Abstract: Evolutionary algorithms have been proven effective in solving complex optimization problems. This paper proposes a production shape optimization framework, and a data-driven and ...