April 20, 2024, 9 a.m. | Pragati Jhunjhunwala

MarkTechPost www.marktechpost.com

Google AI researchers introduced ScaNN vector search library to address the need of efficient vector similarity search, which is a critical component of many machine learning algorithms. Existing methods for vector similarity calculation work well with small datasets, but as datasets continue to grow and new applications come up, the demand for further improvements in […]


The post Google AI Introduces SOAR: An Algorithmic Improvement to Vector Search that Introduces Effective and Low-Overhead Redundancy to ScaNN appeared first on MarkTechPost …

ai researchers ai shorts algorithms applications artificial intelligence datasets editors pick google improvement library low machine machine learning machine learning algorithms redundancy researchers search small soar staff tech news technology vector vector search work

More from www.marktechpost.com / MarkTechPost

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US