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?

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 ...

A supercomputer in China now outranks its U.S. counterparts as the world’s most powerful, marking the first time since 2017 that a Chinese computer has topped a list sometimes viewed as a measure of a ...

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.