Abstract: The increasing prevalence of cloud computing drives the exploration of various secure query schemes over encrypted data, among which secure spatial keyword query has drawn a great deal of ...
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
To meet the moment, brand leaders need to answer two questions: Are my pages optimized for AI search? If not, what can I do? ...
Abstract: We present in this paper a novel denoising training method to speed up DETR (DEtection TRansformer) training and offer a deepened understanding of the slow convergence issue of DETR-like ...
BoQ is a new architecture for visual place recognition that learns a set of global learned queries (Bag-of-Queries) to probe the input’s local features via cross-attention, insuring consistent ...
Building the cognitive nervous system for AI agents. A high-performance, local-first Model Context Protocol (MCP) server that provides AI agents with persistent, human-readable cognitive memory.
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