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 ...

Abstract: Pairwise queries have been widely used in many applications. Although several approaches have been recently proposed to accelerate a single query, they still suffer from irregular memory ...

As AI becomes part of daily life for people and organizations around the world, that shift brings a key question from leaders: can AI scale sustainably? This question is especially real in the ...

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.