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 ...

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 ...

As heterogenous integration increases design complexity and forces engineers out of long-standing silos, model-based systems engineering (MBSE) is becoming essential for improving quality and reducing ...

Model-based systems engineering is quietly, but consistently, becoming an important part of the design, maintenance, and cybersecurity of the federal government’s most complex IT platforms. MBSE ...

Why engineers are turning to system-level models. How high-fidelity digital twins help expose system-level issues. Where MBSE is experiencing the fastest adoption. The roles of AI and data science in ...

New Toolbox Streamlines Battery Management System Design, Testing, and Algorithm Deployment Workflows on NXP Processors NATICK, Mass.--(BUSINESS WIRE)--MathWorks, the leading developer of mathematical ...

A hackathon challenged aerospace students to develop a detailed digital system model for a robotic assistant for astronauts on the Moon A hackathon challenged aerospace students to develop a detailed ...

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 ...

Available to watch now, The Electrochemical Society in partnership with BioLogic, TA Instruments – Waters and Hiden Analytical, explores battery management systems for current and next-generation ...

Reinforcement learning is one of the exciting branches of artificial intelligence. It plays an important role in game-playing AI systems, modern robots, chip-design systems, and other applications.