Abstract: Emerging industrial Internet-of-Things (IoT) applications demand diverse and critical Quality of Service (QoS). Deep reinforcement learning (DRL)-based routing approaches offer promise but ...
In India, a hidden data trove reveals how the censorship regime has now evolved from simply cutting minor scenes to ...
Designing system algorithms remains challenging, where the discontinuous nature of the solution space often forces system engineers to rely on generic heuristics at the expense of performance. We ...
Large language models excel at function- and file-level code generation, yet generating complete repositories from scratch remains a fundamental challenge. This process demands coherent and reliable ...
Abstract: With the wide application of graph neural network (GNN) in many fields, how to extract and aggregate node features effectively has become a hot research issue. In this paper, we propose a ...
Search engines have evolved significantly from basic keyword matching to intelligent systems leveraging artificial intelligence (AI). This transformation prompts an important question: when it comes ...
Landlords could no longer rely on rent-pricing software to quietly track each other’s moves and push rents higher using confidential data, under a settlement between RealPage Inc. and federal ...
The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.
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