With a $9.2 million grant from Intelligence Advanced Research Projects Activity (IARPA), Prof. Andrew A. Chien will lead a team of University of Chicago computer science researchers building the ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Industry analysts recognize the power of Knowledge Graphs in delivering a modern data architecture that provides integrated, trusted, and real-time views of enterprise data. The accelerating adoption ...
Debate and discussion around data management, analytics, BI and information governance. The post-big data landscape has been shaped by two emergent, intrinsically related forces: the predominance of ...
A research team has developed a new technology that enables to process a large-scale graph algorithm without storing the graph in the main memory or on disks. A KAIST research team has developed a new ...
TrajGNAS: Heterogeneous Multiagent Trajectory Prediction Based on a Graph Neural Architecture Search
Abstract: Most existing deep learning-based trajectory prediction algorithms rely on manual experience to design a prediction model that matches a specific task or scenario by repeatedly and manually ...
ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
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