Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Images are now parsed like language. OCR, visual context and pixel-level quality shape how AI systems interpret and surface ...

Bringing AI to your data, not your data to AI. At Insight 2025, CEO George Kurian encapsulates the company’s evolution from ...

Several Vector Capital limited partners such as Adams Street Partners, J.P. Morgan Asset Management, the External Investing Group at Goldman Sachs Asset Management, Angeles Investments, Lexington ...

In geospatial analysis, data cubes can be of two sorts. The first is a raster data cube, typically represented by an Xarray DataArray indexed either by x or y dimensions or latitude and longitude. The ...

Abstract: Highly accurate self-localization is necessary to achieve safe autonomous driving. Recently, map-based self-localization has been attracting attention. Maps generally consist of point cloud ...

As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...

VAST Data, the AI data platform company, is announcing that its latest update to the VAST Data Platform makes it the first and only solution on the market to unify vector search, event-driven ...

Vast Data Inc. today announced enhancements to its Vast Data Platform, enabling it to support structured and unstructured data in a single DataSpace with linear and secure scaling. The enhancements ...

This repository provides Python, C#, REST, and JavaScript code samples for vector support in Azure AI Search. There are breaking changes from REST API version 2023-07-01-Preview to newer API versions.