In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...
Abstract: Network Representation Learning (NRL) has achieved remarkable success in learning low-dimensional representations for network nodes. However, most NRL methods, including Graph Neural ...
Creating simple data classes in Java traditionally required substantial boilerplate code. Consider how we would represent Java’s mascots, Duke and Juggy: public class JavaMascot { private final String ...
Information collected during the yearslong Salt Typhoon attack could allow Beijing’s intelligence services to track targets from the United States and dozens of other countries. By Adam Goldman ...
China reviewing data centre sector after building boom National cloud service aims to harness surplus computing power Challenges include real-time power transfer and chip integration July 24 (Reuters) ...
Abstract: An undirected weighted graph (UWG) is the fundamental data representation in various real applications. A graph convolution network is frequently utilized for representation learning to a ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. In ...
AIKA (Artificial Intelligence for Knowledge Acquisition) is an innovative approach to neural network design, diverging from traditional architectures that rely heavily on rigid matrix and vector ...
The Super Bowl has always been more than a game—it’s a cultural barometer, reflecting how brands engage with audiences at the most-watched event of the year. With 115 million viewers in 2024, it ...
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