With the wide application of UAVs in modern operations, efficient cooperative task assignment of heterogeneous UAVs under complex constraints has ...

Researchers introduce a group-driven initialization that fuses search history with graph modularity, boosting ...

Charlie Munger spent a lifetime proving that you do not need a complex algorithm or a Wall Street trading desk to compound ...

Discover what context graphs are, why they're revolutionizing AI systems, and who's building this trillion-dollar technology ...

Incandescent bulbs were supposed to be relics, pushed aside by compact fluorescents and then by ultra-efficient LEDs. Instead, they are quietly reappearing in homes, on holiday displays, and in online ...

Numbers in rows tell one story, but charts and graphs reveal patterns you might otherwise miss. Create a simple line graph ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

Abstract: Contrastive learning (CL) has recently sparked a productive line of research in the field of recommendation, due to its ability to extract self-supervised signals from raw data that align ...

Abstract: It is time-consuming to obtain performance metrics for feasible topologies during the design of power electronic converters. This article proposes a graph-theory-based algorithm that ...

Shortest path algorithms sit at the heart of modern graph theory and many of the systems that move people, data, and goods around the world. After nearly seventy years of relying on the same classic ...