Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...
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 ...
A new technical paper titled “Algorithm-Driven On-Chip Integration for High Density and Low Cost” was published by researchers at University of Southern California. “Growing interest in semiconductor ...
Abstract: Operating room (OR) planning and scheduling is a highly complex combinatorial optimization problem that involves patient assignment, OR allocation, and surgical sequencing within a ...
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 ...
Chinese researchers have allegedly developed a new algorithm that lets first-person-view (FPV) drones perform autonomous aerobatic manoeuvres better than those by veteran human operators during flight ...
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 ...
College of Aircraft Engineering, Nanchang Hangkong University, Nanchang, China. Since time immemorial, achieving high performance, structural lightweight, and cost-effectiveness of aircraft has been a ...
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 ...
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