Zhongqi Zhu Addresses Key Challenges in Vector Database and AI Technology Integration

A study on vector database and AI integration identifies unstable indexing, weak cross-modal fusion, and rigid resource ...
IEEE

Privacy-Preserving Vector Similarity Search using Homomorphic Encryption

Abstract: Vector similarity search is a cornerstone of modern applications in machine learning, information retrieval, and recommendation systems, where identifying the most similar vectors to a query ...
Search Engine Land

New Google TurboQuant algorithm improves vector search speed

Google says a new compression algorithm, called TurboQuant, can compress and search massive AI data sets with near-zero indexing time, potentially removing one of the biggest speed limits in modern ...
Search Engine Land

Google March 2026 core update rolling out now

Google released the March 2026 core update today, the company announced. This is Google’s first core update of 2026. It follows the quick March 2026 spam update from a couple of days ago and the ...
Android

This Google AI Breakthrough Could End the Global RAM Crisis Sooner Than Expected

Google has unveiled TurboQuant, a new AI compression algorithm that can reduce the RAM requirements for large language models by 6x. By optimizing how AI stores data through a method called ...
Vogue

Ahead of ‘The Antwerp Six’ Exhibition, Ann Demeulemeester Shares the Singular Tale of Her Life in Fashion

That there are currently seven Belgian designers at the head of eight European fashion houses is a testament to the quality of teaching at the Royal Academy of Arts and its most famous graduates. The ...
Morningstar

OpenSearch Named a Leader in GigaOm Radar for Vector Databases as Research Shows Hybrid Search Becomes Critical for AI

AMSTERDAM, March 24, 2026 /PRNewswire/ -- KubeCon + CloudNativeCon Europe -- The OpenSearch Software Foundation, the neutral home for the OpenSearch Project, today announced OpenSearch was named a ...
IEEE

A Hybrid Approach of ANN and Grey Wolf Optimization Algorithm for the Design of Filtering Patch Antenna With In-Band Gain Flatness

Abstract: This letter proposes a hybrid grey wolf optimization-artificial neural network (GWO-ANN) method for designing filtering patch antennas with high out-of-band suppression and in-band gain ...