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Related Articles from SNS
HRNN: A Hybrid Graph Index for Approximate Reverse k-Nearest Neighbor Search on High-Dimensional Vectors
arXiv:2606.03225v1 Announce Type: new Abstract: Reverse k-nearest neighbor (RkNN) search returns all data points that regard a query vector as one of their k-nearest neighbors (kNNs). Existing RkNN methods typically follow a filter-and-verification framework: vectors near the query vector are first collected as candidates and then verified against their kNN-radius (i.e., the distance to their k-th nearest neighbor).
Florida woman mauled to death by two dogs despite neighbors reporting owner to police multiple times
Florida woman mauled to death by two dogs despite neighbors reporting owner to police multiple times Linda Cutler is due to appear in court on manslaughter charges over the death of Jodi Cowan - Bookmark A Florida woman was killed in a “vicious” attack by a neighbor’s dogs despite the owner having been reported multiple times to authorities. Jodi Cowan, 50, had only lived on her street in Brevard County for two weeks when the fatal incident occurred on May 19. She was walking her dog after...
Parallel Metric Skiplists and Nearest Neighbor Search
Announce Type: new Abstract: The metric skip-list is a data structure designed for efficient nearest and $k$-nearest neighbor search in metric spaces. For many real-world datasets with reasonable distributions - specifically, those with a constant expansion rate - it supports $\tilde{O}(n)$ construction time and $O(k\log n)$ query time, where $n$ is the input size and $k$ is the number of nearest neighbors in queries. Notably, unlike alternative approaches, it does not require a bounded...
Slipstream: Locality-Aware Graph Index Construction for Streaming Approximate Nearest Neighbor Search
new Abstract: Graph indexes are widely used for high-recall approximate nearest neighbor search (ANNS), but many real-time applications require streaming ANNS. In these real-time applications, continuously arriving embeddings must search the existing graph for candidate neighbors before updating graph edges, which makes repeated index construction a bottleneck for streaming ingestion workloads. We propose Slipstream, a new method that significantly reduces the computational cost of frequent...
BBC: Improving Large-k Approximate Nearest Neighbor Search with a Bucket-based Result Collector
arXiv:2604.01960v3 Announce Type: replace Abstract: Although Approximate Nearest Neighbor (ANN) search has been extensively studied, large-k ANN queries that aim to retrieve a large number of nearest neighbors remain underexplored, despite their numerous real-world applications. Existing ANN methods face significant performance degradation for such queries. In this work, we first investigate the reasons for the performance degradation of quantization-based ANN indexes: (1) the inefficiency...
ANNS-AMP: Accelerating Approximate Nearest Neighbor Search via Adaptive Mixed-Precision Computing
arXiv:2606.07156v1 Announce Type: new Abstract: Approximate nearest neighbor search(ANNS) is a critical kernel in modern applications such as LLM and recommendation systems. However,its efficiency is fundamentally limited by the need to compute distances between a query and a massive number of high-dimensional vectors,most of which are non-neighbors. Existing approaches reduce redundancy via index optimization or early termination,but remain constrained by fixed-precision computation,leading...
Can Iran rebuild trust with its Gulf neighbors?
Can Iran rebuild trust with its Gulf neighbors? June 1, 2026Since the beginning of the Iran war, Gulf countries have absorbed thousands of Iranian missile and drones, with Tehran taking aim at targets including US military bases and civilian energy infrastructure. On Monday, Kuwait said its air defenses were fending off a missile and drone barrage after the US said it had targeted radar and drone sites in southern Iran.
Drone strikes apartment building in NATO member Romania as Russia attacks neighboring Ukraine
A drone struck an apartment building Friday in Romania, a NATO member, causing an explosion and fire that injured multiple people, local authorities said.According to Romania’s Ministry of Defense, the incident occurred as Russia carried out an overnight drone attack in neighboring Ukraine near the Romanian border."A drone entered Romanian airspace, was tracked by radar systems as far as the Southern area of Galați municipality, and crashed onto the roof of a residential apartment building,"...
ACRONYM: Accelerated Approximate Nearest Neighbor Search in Memory for Dynamic Vector Databases
arXiv:2606.03151v1 Announce Type: new Abstract: Vector database search with frequent updates is increasingly critical in applications such as retrieval augmented generation, recommendation systems, and large-scale embedding retrieval. Existing solutions, such as graph-based and partition-based approximate nearest neighbor search (ANNS), suffer from frequent index rebuilding due to data distribution-dependent indexing that impacts continuous deployment and causes long rebuilding latency.
LAANN: I/O-Aware Look-Ahead Search for Disk-Based Approximate Nearest Neighbor Search
Announce Type: new Abstract: Approximate nearest neighbor search (ANNS) is a fundamental primitive in large-scale retrieval, recommendation, and AI systems. As vector datasets grow to billions or even trillions of items, disk-based ANNS systems have emerged to handle this scale by storing vector data and index structures on storage systems, but their query performance remains dominated by I/O latency. Existing disk-based ANNS systems primarily optimize I/O efficiency or overlap I/O with...