Reproducible experiments and testimony presented at a recent webinar suggest LinkedIn’s algorithms systematically reduce the ...

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 ...

The engineer said Musk has damaged Tesla's mission, and his leadership seems "seriously compromised." The employee wrote on LinkedIn that he could not convince himself that Tesla is the "right place ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. In today’s commerce landscape, AI is everywhere—but tangible business impact is not. The ...

In the fast-paced realm of semiconductor technology, optimizing chip design to meet the dual challenges of performance enhancement and cost reduction has emerged as a pivotal focus. A new study ...

The team tested the algorithm on Northeastern’s Agile X Scout Mini mobile robot.Matthew Modoono/Northeastern University Researchers at Northeastern University have developed a new algorithm that ...

Abstract: This paper introduces a novel hybrid optimization algorithm that combines the Gazelle Optimization Algorithm (GOA) with Differential Evolution (DE) to enhance performance in optimizing ...

The tuned mass damper is one of the most frequently employed structural control devices for mitigating dynamic vibrations in structures subjected to earthquake ground motions. Conventional tuned mass ...

In contemporary breeding programs, typically genomic best linear unbiased prediction (gBLUP) models are employed to drive decisions on artificial selection. Experiments are performed to obtain ...