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 ...

Heterogeneous graphs organize data with nodes and edges, and have been widely used in various graph-centric applications.

The Kennedy College of Science, Richard A. Miner School of Computer & Information Sciences, invites you to attend a doctoral dissertation proposal defense by Nidhi Vakil, titled: "Foundations for ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

Ambarella is poised to benefit from edge AI demand as CV7 SoC and DevZone boost stickiness. Read why AMBA stock is a Strong ...

Mobile CrowdSensing (MCS) has become a powerful sensing paradigm for information collection recently. As sensing becomes more ...

May Habib, Co-founder and CEO of Writer.ai, leads a cutting-edge generative AI platform revolutionizing enterprise ...

Mobile CrowdSensing (MCS) has become a powerful sensing paradigm for information collection recently. As sensing becomes more complicated, it is ...

This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...

Financial advisors face mounting challenges when searching for alpha as market concentration hits record highs and passive ...

Top three last year: Bobby Witt (68.9), Gunnar Henderson (12.1), Elly De La Cruz (9.1) ...

AI Master Data, part of the Crisp Retail AI Suite, helps consumer packaged goods companies classify and segment products to inform business decision-making. By pairing AI-driven mapping with human ...