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.

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 ...

Italy added more energy storage capacity in 2024 despite fewer installations, as larger utility-scale BESS exceeding 1 MWh dominated the market, according to a new report by industry group Anie ...

In tests using large-scale real-world graph datasets, Capsule outperformed the best existing systems, achieving up to a 12.02x performance improvement while using only 22.24% of the memory.

Graphs of Exponential and Logarithmic Functions Graphs of exponential functions and logarithmic functions provide a visual insight into their properties, such as growth, decay, and the inverse ...

Adaptive Exponential Consensus With Cooperative Exponential Parameter Identification Over Leaderless Directed Graphs Abstract: Due to the complex entanglement between distributed control and ...

Tackling Challenges in Implementing Large-Scale Graph Databases Latin America's long-standing tradition of fundamental research into database theory, string processing, and the analysis of algorithms ...