New Google TurboQuant algorithm improves vector search speed

A small error-correction signal keeps compressed vectors accurate, enabling broader, more precise AI retrieval.
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Applications of vectors: Applications of trigonometry | Pre-calculus lesson

In this video we will cover how to apply the dot product to determine the angle between two vectors, to determine if the vectors are parallel or orthogonal, and lastly find the resultant vector of a ...

TurboQuant Has The Potential To Fundamentally Change How Search (And AI) Works

Learn why Google’s TurboQuant may mark a major shift in search, from indexing speed to AI-driven relevance and content discovery.

DNA origami precisely positions single-photon emitters for quantum technologies

An international research team led by scientists from Skoltech has developed a method to position molecules on the surface of ...

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

Google unveils TurboQuant, a new AI memory compression algorithm — and yes, the internet is calling it ‘Pied Piper’

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...
The New York Times

Microplastics Are Everywhere. Here’s How to Avoid Eating Them.

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Katie Okamoto Katie Okamoto is an editor focusing on sustainability. She’s ...