Former Cisco executive Pankaj Patel wants to eliminate the complexity of enterprise networking with NaaS startup Nile, which ...

A growing performance gap means high-end processors often sit idle, starving for data, while relatively sluggish networks struggle to keep up. Bridging this gap will require new strategies — from ...

In a world of cloud-first strategies and distributed workforces, networks are being stretched in ways legacy architectures were never built to handle. Managing consistent performance, tight security, ...

BBD’s Cloud Architecture Assessment is tool-agnostic and people-led, run by a seasoned cloud architect who manually maps and ...

System Engineering evangelists Larry Peterson and Bruce Davie analyze the system approach behind the Internet in their new ...

Cisco argues much of network management can be achieved via what's called AgenticOps, where the development and refinement of AI agents is an automated process akin to DevOps.

Cisco's new secure network architecture addresses the urgent challenges for enterprises in the AI era: explosive network traffic, mission-critical uptime requirements, and intensifying security ...

Research reveals costly impact of outages and spotlights a critical turning point in enterprise network architecture changing how IT leaders think about the network, such as what it is, what it ...

Explore the architecture of AlexNet, a groundbreaking deep neural network that revolutionized computer vision. This video walks through its layers and impact on the field of AI.

They point out the challenges in scientific data systems, suggest principles for data collection and processing, and stress the importance of data system logic and architecture for the development ...

However, the vision of a Learning Healthcare System has remained largely aspirational. Over the last 13 years, researchers, clinicians and families, with support from our paediatric medical centre, ...

Artificial intelligence (AI) continues to be transformative across various domains, integrating learning paradigms like machine learning, modular learning, and federated learning. In conjunction with ...