In this paper, we propose a versatile graph inference framework for learning from graph signals corrupted by exponential family noise. Our framework generalizes previous methods from continuous smooth ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

In the tech-fueled hustle of modern entrepreneurship, stories of hyperscaling are often told through the lens of revenue graphs, fundraising rounds, and exponential headcount. But what if the real ...

Alliant will integrate AnalyticsIQ’s audience modeling platform, which is based on user surveys and studies of health, wellness and cognitive psychology.

In practice, the acquirement of labeled samples for hyperspectral image (HSI) is time-consuming and labor-intensive. It frequently induces the trouble of model overfitting and performance degradation ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...