Abstract: Metaheuristics are widely recognized gradient-free solvers to hard problems that do not meet the rigorous mathematical assumptions of conventional solvers. The automated design of ...
A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
David Ellison's Paramount Skydance is reshaping its ad product and tech teams. Here's what changes were made, and who's ...
As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
TikTok super app now books hotels, streams full songs, tracks FIFA World Cup scores, and is pursuing a fintech license in ...
A secondary purpose of this repository is to provide a generalized graph API that enables implementation of a very wide range of in-memory graph algorithms including basic methods for reading, writing ...
Abstract: We develop a novel graph-based trainable framework to maximize the weighted sum energy efficiency (WSEE) for power allocation in wireless communication networks. To address the non-convex ...
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