The nearest neighbor problem asks where a new point fits into an existing data set. A few researchers set out to prove that there was no universal way to solve it. Instead, they found such a way. If ...

セキュリティ企業のVolexityが、ロシア軍に関連する脅威アクターグループ・APT28による「ニアレストネイバー攻撃」を検出したと報告しています。このニアレストネイバー攻撃は「最も近い隣人」という名の通り、標的企業の近くの建物にあるノートPCなどを ...

Abstract: In this work, generalized nearest neighbor decoding (GNND), a recently proposed receiver architecture, is studied for channels under general input constellations, and multiuser uplink ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Abstract: Approximate Nearest Neighbor Search (ANNS) is widely used in various fields, including database systems, recommendation engines, and large language models. As data dimension and size ...

Approximate Nearest Neighbor Search (ANNS) presents an inherent tradeoff between performance and recall (i.e., result quality). Each ANNS algorithm provides its own algorithm-dependent parameters to ...