Efficiently revealing the hidden benefits and insights within the unstructured data requires new software tools, processors and memory configurations, without having to learn new coding languages. NEC ...

Today NEC Corporation announced that it has developed Aurora Vector Engine data processing technology that accelerates the execution of machine learning on vector computers by more than 50 times in ...

The vector data abstractions library ... Paul has been covering computer technology as a news and feature reporter for more than 35 years, including 30 years at InfoWorld. He has specialized ...

Vector databases unlock the insights buried ... To organize and search through these kinds of data, we need to convert the data to formats that computers can process. Fortunately, machine learning ...

In other words, AI turns real-world information into data that can be used to gain insight, searched for and manipulated. Vector databases are at the heart of this, because that’s how data ...

In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled ...

Scaling distributed SQL queries needs more performance and efficiency in the agentic AI era. It’s a challenge Cockroach is looking to solve.

Vector Sets are based on the hnsw.c implementation of the HNSW data structure, with extensions for speed and functionality. Rowan Trollope , CEO of Redis, praises Sanfilippo’s contribution: ...