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 ...

Data analysis is enabling teams to make better decisions, and systems engineering is no different. Digital solutions have emerged to help engineers gather and analyze data from modeling, simulation, ...

How model-based systems engineering (MBSE) has improved system design. Thermal design and MBE come together. When considering systems-level design, it’s important to understand the criticality of the ...

Over the past decade or so, foundation models have emerged as the dominant paradigm for interacting with language, images, and code. Large Language Models (LLMs) can generate text. Vision models can ...

The digital parts of the system must be accurate in order to reliably simulate a robotics system. Higher-quality components ...

This startup has developed an AI copilot for mechanical engineers. At the heart of the innovation is a Large Mechanical Model (LMM), a patented AI system that understands real CAD data. Leo AI is a ...

The pace of AI adoption is moving incredibly fast. Customers have moved well beyond experimentation and understand the importance of adopting AI to transform their business. They are now concentrating ...

As many Global South countries face overlapping pressures from land degradation, food security challenges and the need to ...

CEDARVILLE, Ohio (WDTN) – The Cedarville University Robotics Team is celebrating after they managed to bring home first place at the American Society of Engineering Education Two-Year College Division ...