Morning Overview on MSN
Physics-trained AI models speed engineering design and simulations
When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned ...
IEEE Spectrum on MSN
AI models trained on physics are changing engineering
Large physics models are increasingly used to bypass simulation ...
Mercury released into the oceans affects marine environments worldwide. Traditionally, its distribution and quantity have ...
User simulators serve two critical roles when integrated with interactive AI systems: they enable evaluation via repeatable, ...
AGIBOT unveils Genie Envisioner 2.0 to advance world models into scalable simulators for embodied AI
AGIBOT today announced the release of Genie Envisioner 2.0, or GE 2-Sim, which it said marked a significant step forward in ...
This helps engineers can build and deploy models in weeks, reduce simulation turnaround times from hours to minutes, and ...
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 ...
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 ...
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.
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