This requires an algorithm: students are taught to stack one number atop another and multiply each digit of the bottom number ...

For researchers on the hunt for the genetic roots of disease, the cost of deep whole-genome sequencing makes it challenging ...

Researchers have developed an AI-driven framework that improves genomic surveillance by identifying emerging virus variants ...

New Iterative Block Particle Filter algorithm makes genomic surveillance faster, cheaper and more scalable, improving early ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

A new study by King's College London and QIMR Berghofer Medical Research Institute has identified 74 genomic locations, including 39 new ones, linked to anxiety symptoms. Analysing data from nearly ...

Abstract: The irregular observation region poses challenges to seismic acquisition systems design. The commonly-used parallel-type acquisition system requires that the geophones are located at equally ...

Abstract: The aim of this paper is to design and develop an optimal motion cueing algorithm (MCA) based on the genetic algorithm (GA) that can generate high-fidelity motions within the motion ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...