Heterogeneous graphs organize data with nodes and edges, and have been widely used in various graph-centric applications.
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Data warehousing is a process of collecting various data from different sources and managing it accordingly for providing meaningful business insights to the organization. In addition to this, various ...
Semiconductor Engineering sat down with Paul Chou, senior director of security architecture at NVIDIA, to discuss data leakage in heterogeneous designs. What follows are excerpts of that one-on-one ...
Data security is becoming a bigger concern as chips are disaggregated into chiplets and various third-party IP blocks. There is no single solution that works for all designs, and no single tool or ...
Discover how Shreyansh Sharma leads data transformation in financial services, optimising systems for actionable insights and efficiency.
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