In this paper, we propose a new approach to implementing hierarchical graph neuron (HGN), an architecture for memorizing patterns of generic sensor stimuli, through the use of vector symbolic ...

In this study, we attempt to discover and predict stock index patterns through analysis of multivariate time series. Our motivation is based on the notion that financial planning guided by pattern ...

Furthermore, stoichiometry-conserving core components obey growth law and ensure homeostasis across conditions, whereas peripheral stoichiometry-conserving components enable adaptation to specific ...

Moreover, by exploring many complexities of nature, we can discover simple or intricate patterns, that structure an amazing or even at times an unexpected product. Chronologically studying Iranian art ...

Indeed, Pinecone argues that its new architecture can offer a 10x to 100x cost reduction. The new architecture now supports vector clustering on top of blob storage.