Scientists at the University of Sharjah have developed an advanced digital twin technology designed to replicate renewable ...

Deductive AI raises $7.5 million to automate software debugging with machine learning, helping engineers fix production ...

In today’s rapidly evolving tech landscape, centralized architectural decision-making can become a bottleneck to delivery performance and innovation. Through stories from our own journey, we’ll share ...

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

Implementing agentic software engineering requires more than connecting an AI model to your repositories—it starts by ...

Turnitin and similar AI detection tools may be used in these courses for initial detection of possible honor code violations. All suspected violations will be reviewed by a human. AI tools alone will ...

Coding with large language models (LLMs) holds huge promise, but it also exposes some long-standing flaws in software: code ...

We must address the core architectural weaknesses that make SaaS and the rapid proliferation of AI tools a prime target for ...

A new technical paper titled “An AUTOSAR-Aligned Architectural Study of Vulnerabilities in Automotive SoC Software” was ...

The AI surge is forcing application vendors to restructure how they deliver and charge for solutions. Software companies will ...