Abstract: This paper proposes an architecture for enhancing autonomous vehicle perception and decision through a microservice-based framework based on Data Distribution Service (DDS). This framework ...

Trying to layer AI on top of monolithic systems results in high latency and skyrocketing compute costs, effectively killing ...

Construction begins on the NTT Hibiya Tower, the first phase of PLP Architecture’s Tokyo Cross Park masterplan, a major mixed ...

Enterprise voice AI has fractured into three architectural paths. The choice you make now will determine whether your agents ...

Secure, event-native and AI-driven cloud architecture are the ingredients of the next generation of cloud architecture. These ...

In the rapidly evolving landscape of enterprise technology, a quiet revolution is unfolding where monolithic enterprise ...

When Krishna Mohan Yelisetty, Data Engineer at USAA, talks about low-code/no-code (LCNC) platforms and AI copilots, he doesn’t see them as sidekicks in the enterprise story. He sees them as the new ...

In streaming, the challenge is immediate: customers are watching TV right now, not planning to watch it tomorrow. When systems fail during prime time, there is no recovery window; viewers leave and ...

Software architecture must become intelligent, explainable, and adaptive. Only then can systems keep up with modern ...

This project demonstrates a well-structured MCP server that provides analytics reporting capabilities by interfacing with external APIs. It showcases modern Go development practices including ...

Ahmedabad: The Ahmedabad Municipal Corporation (AMC) is set to develop a state-of-the-art blockchain platform to deliver a ...

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...