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 ...

PHIL AI is pursuing an open ecosystem strategy by collaborating with infrastructure and application partners to support end-to-end AI workflows. Through integrations with decentralized compute ...

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 ...

At its core, Aeron Sequencer uses a replicated state machine architecture with a globally ordered, highly available message log. It's capable of processing millions of messages per second at ...

Delve into the intricacies of cryptocurrency network design, including architecture, consensus mechanisms, token management ...

For enterprises deploying AI applications with similar read-heavy workloads and unpredictable traffic spikes, OpenAI's ...

The work of Koh, Whitmore, Chen, Shahul, and Torres illustrates how secure API orchestration is evolving from an operational ...

Cockroach Labs, a cloud-agnostic distributed SQL databases with CockroachDB, today announced findings from its second annual ...

Modern CX depends less on where data lives and more on how signals, AI, and governance come together at decision time.

As global carriers in aggressively pursue AI-driven automation, U.S. operators require architectural frameworks that enable innovation and manage infrastructure.

System-level thermal signature control designed to reduce detectable heat concentration while maintaining efficiency ...