Antonio Ortega, a professor of electrical engineering at the University of Southern California, will lecture on graph signal processing at the University of Delaware’s Mitchell Hall Auditorium on ...
Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...
Chapter 11 of this book “Digital Data Locked Loops“ is being made available as a series of design articles. The first part is available here. I have spent more than 30 years toil.ing away as a digital ...
Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...
Automobiles are undergoing a digital makeover: gone forever are the days of pure mechanical systems and analog electronics. Today’s automobile is a digital automobile, incorporating dozens of embedded ...
SAN MATEO, Calif., Oct. 20, 2020 — Neo4j, a leader in graph technology, announced that the majority of its customers are now deploying their graph applications in the cloud, facilitated by flexible ...
At some point in time, all users of social networking applications such as Facebook or LinkedIn have been pleasantly surprised at seeing an old school friend, or an ex-colleague from that first job, ...
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