During its recent Adobe Max 2023 conference a wide variety of new AI features and enhancements were showcased by Adobe some of which are already available to use in its suite of creative applications.

I was originally planning to write this article as a "hands-on with Adobe's new AI features," and cover the new AI features in both Photoshop and Illustrator. As soon as I started to test out ...

The creative software company Adobe Inc. today announced some major updates to its Firefly image generation tool, which is powered by advanced generative artificial intelligence models. At the Adobe ...

Vector databases are the unsung heroes of the modern AI movement, storing unstructured data such as images, videos and text to enable people and systems to search uncategorized content. They are ...

At its annual Inspire conference, Microsoft announced a number of new AI features headed to Azure, perhaps the most notable of which is Vector Search. Available in preview through Azure Cognitive ...

Generative AI is revolutionizing data and analytics, but its applications demand advanced data management capabilities to handle vast, diverse, and complex datasets that include images, video, audio, ...

Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...

Onehouse Inc., a company that sells a data lakehouse based on Apache Hudi as a managed service, today said it has launched a vector embedding generator to automate embedding pipelines as a part of its ...

Artificial intelligence (AI) processing rests on the use of vectorised data. In other words, AI turns real-world information into data that can be used to gain insight, searched for and manipulated.

Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. AI is turning the idea of a database on its head.