Abstract: Cross-modal 3D shape retrieval is a crucial and widely applied task in the field of 3D vision. Its goal is to construct retrieval representations capable of measuring the similarity between ...

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...

Many layers: knife sharpness and cutting technique greatly affect the speed of droplets that are created when cutting an onion (courtesy: Zixuan Wu and Sunghwan “Sunny” Jung at Cornell University) ...

An inherent principle of publication is that others should be able to replicate and build upon the authors' published claims. A condition of publication in a Nature Portfolio journal is that authors ...

Human task performance in extended reality (XR) environments is a critical area of study due to the growing use of these technologies in fields such as healthcare, education, manufacturing, and ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Department of Chemistry, University College of Sciences, Acharya Nagarjuna University, Nagarjuna Nagar, Guntur, Andhra Pradesh 522 510, India ...