IEEE Spectrum on MSN
AI models trained on physics are changing engineering
Large physics models are increasingly used to bypass simulation ...
Space missions are complex, multidisciplinary tasks that involve high risk and high cost. Systems engineering (SE) technology ...
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 ...
You gotta build a "digital twin" of the mess you're actually going to deploy into, especially with stuff like mcp (model context protocol) where ai agents are talking to data sources in real-time.
Current AGI research focuses heavily on scaling these foundation models and enhancing specific agent capabilities, such as complex reasoning and coding. However, despite this progress, even the most ...
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 ...
Simulation is playing an increasingly critical and central role throughout the design-through-manufacturing flow, fusing together everything from design to manufacturing and test in order to reduce ...
Philip Duczyminski reports that compelling study-based evidence indicates improvement in decision-making abilities, preparation for real-world scenarios and job satisfaction. Physical simulation ...
Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results