The concept of edge-first intelligence entails embedding critical data and inference models directly into the application or ...

In the fast-changing digital era, the need for intelligent, scalable and robust infrastructure has never been so pronounced. Artificial intelligence is predicted as the harbinger of change, providing ...

New distributed reinforcement learning system cuts post-training costs by up to 80%, expanding access to advanced AI beyond ...

Secure your MCP deployments with zero-trust architecture. Learn about post-quantum encryption, context-aware access, and threat detection for distributed AI.

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...

What is a distributed system? A distributed system is a collection of independent computers that appear to the user as a single coherent system. To accomplish a common objective, the computers in a ...