The humble database offers the key to giving AI context and adaptation, accessing data beyond its training cutoff.

S3 Vectors allows customers to store AI vector data in S3 object storage, a move that potentially allows for much cheaper storage of vectorised data usually held in vector databases.

Deep research’ AI agents combine large language models with sophisticated reasoning frameworks to conduct in-depth, multi-step analyses.

The AI revolution promised to make computing smarter and more efficient. But it also created algorithms with endless ...

AgentCore-powered agents and other AI applications can keep their data in Amazon S3 Vectors, a new storage offering that also debuted at AWS Summit today. It’s optimized to store vectors, the ...

Can one truly understand what “flower” means without smelling a rose, touching a daisy or walking through a field of wildflowers? This question is at the core of a rich debate in philosophy and ...

With an open, plug-and-play architecture, MCP is the key to enabling AI agents to interact seamlessly with external tools and ...

A constantly updated RAG architecture mitigates the risks of a stale AI system by ensuring AI outputs reflect the latest ...

Artificial intelligence is accelerating at breakneck speed, with larger models dominating the scene—more parameters, more ...

For the Oracle implementation, developers can use either Oracle SQL Developer with Microsoft Copilot for VSCode, or Oracle ...

KIOXIA has unveiled the world’s highest-capacity SSD, 245.76TB, targeting AI, high-performance computing, and hyperscale data ...

In the evolving landscape of enterprise cloud systems and AI-based services, ensuring reliable, observable, and scalable ...