The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

Home-based Melbourne Rapid Fields perimetry shows high repeatability and strong agreement with in-clinic HFA testing for glaucoma monitoring.

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...

Abstract: Unsupervised feature selection plays a crucial role in dealing with unlabeled high-dimensional data. However, traditional unsupervised feature selection methods have some limitations. They ...

Abstract: Distributed acoustic sensing (DAS) has emerged as a widely used technology in various applications, including borehole microseismic monitoring, active source exploration, and ambient noise ...

I’ve put over 200 km (125 miles) on Tesla’s latest ‘Full Self-Driving Supervised’ (FSD) v14 update, and I’ve gathered my thoughts in this article. In short, Tesla FSD v14 is an incremental improvement ...