The first is the convergence of software and data engineering disciplines. The second is the rise of generative AI, which is ...

As the grid evolves with electrification, distributed energy resources, and telecommunications, utilities face increasing demands for rapid, accurate structural assessments.

Data engineering is the gritty, often unglamorous work that underpins every AI model, every dashboard, and every strategic data driven decision. For years, we treated our data lakes like giant, messy ...

Modern control system design is increasingly embracing data-driven methodologies, which bypass the traditional necessity for precise process models by utilising experimental input–output data. This ...

The computing community has largely treated AI hallucinations as a model problem. The default path to reliability has been ...

Though the AI era conjures a futuristic, tech-advanced image of the present, AI fundamentally depends on the same data standards that have been around forever. These data standards—such as being clean ...

Software development is increasingly automated. The existence of shortcuts, reference architectures, rapid application development environment design tools and configuration management accelerators ...

A new systems design toolset aims to create a unified user experience for board designers while adding cloud connectivity and artificial intelligence (AI) capabilities, which will enable engineers to ...