Researchers at Lorestan University have combined ant colony optimization, reinforcement learning, and opposition-based ...

A reproducibility study of 18 influential papers finds that data leakage, silently modified datasets, and underspecified ...

Search for vectors similar to a given query vectors using an approximate nearest neighbors vector search algorithm. To learn more about how vector indexing and vector search works, and the differences ...

OpenSearch is a distributed, community-driven, Apache 2.0-licensed, 100% open-source search and analytics suite used for a broad set of use cases like real-time application monitoring, log analytics, ...

DiskANN is Microsoft's scalable approximate nearest neighbor search algorithm for efficient vector search at any scale. It offers high recall, high queries per second, and low query latency, even for ...

Illustration of a periodically driven one-dimensional dimerized lattice model (the Floquet SSH $\alpha$-chain) and its acoustic implementation.} (a) Schematic of the Floquet SSH $\alpha$-chain ...

Artificial intelligence (AI) models have transformed weather forecasting, but their skill for unprecedented weather extremes ...

Plasma metabolomic profiling across the human life span yields two aging metrics linked to chronic disease and mortality.

Entanglement analysis matches order found in 1D Rydberg atom arrays, revealing characteristics related to Z_n phase ...

There are effective approaches for 2D segmentation, yet 3D cell segmentation remains a critical bottleneck due to diverse cell morphologies, low signal-to-noise ratios, and data scarcity. We introduce ...