Today’s electronic systems are an increasingly complex combination of hardware and software components. They contain an ever-expanding range of functions, require more computing power, have to operate ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...

Engineers at the Massachusetts Institute of Technology have developed an AI-driven robotic assembly system lets users build ...

Automation aims to standardize industrial operations and bring overall efficiency to today’s production lines. Such gains, however, may come with considerable effort, as engineering teams must ...

Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...

From data centres that self-adjust energy use to software systems that rewrite their own code for efficiency, AI agents are moving beyond tools and into the role of autonomous problem-solvers. This ...

The generative AI era began with assistive AI tools that predicted snippets and suggested boilerplate code. Now, these same technologies are being trained on telemetry data and operational signals, ...

Agentic AI systems need a deep understanding of where they are, what they know, and the constraints that apply. Context engineering provides the foundation. Enterprises have spent the past two years ...

Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a ...

Z.ai released GLM-4.7 ahead of Christmas, marking the latest iteration of its GLM large language model family. As open-source ...