The enterprise shift toward distributed systems of specialized AI agents is happening because reality is complex, and when ...

Research published in Advances in Computer and Communication establishes frameworks for integrating Role-Based Access Control and ...

Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...

Research published in the European Journal of AI, Computing & Informatics establishes generative AI methodologies for automated defect ...

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 ...

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 ...

Here's why the next great AI company won't own a data center — and what that means for founders.

Traditional technical debt metaphors suggest something that can be paid down incrementally. Over-engineering does not behave ...

Claudio Saes is a partner and telecom practice leader at Bell Labs Consulting, a group of the award-winning Nokia Bell Labs. Since the dawn of time, our ancestors leveraged distributing strategies to ...