Large language models (LLMs) may have changed software development, but enterprises will need to think twice about entirely replacing human software engineers with LLMs, despite OpenAI CEO Sam ...

Opportunities for agentic AI. AI agents go beyond basic in-context learning by enabling LLMs to iteratively plan, reason, and ...

In today's lightning-fast software landscape, traditional architecture practices are becoming a bottleneck. The velocity and complexity of systems scaling across ephemeral microservices, complex APIs ...

As AI automates code production many are concerned that software engineering could be "cooked" and made obsolete by automation.

Why LLMs can help with documentation, triage, policy drafting, and log review without replacing human judgment. Which risks matter most in enterprise AI use, including prompt injection, hallucinations ...

We love using software that runs quickly and requires little memory or power. Dr Dominik Sobania is investigating how it can be further optimised. He conducts research and teaches as a newly appointed ...

Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether ...

AI holds the potential to change how companies interact throughout the global semiconductor ecosystem, gluing together different data types and processes that can be shared between companies that in ...