The semiconductor industry has greatly simplified analysis by consolidating around a small number of models and abstractions, but that capability is breaking down both at the implementation level and ...

How in-house-developed and third-party general-purpose simulation tools are limited to a few expert users and aren’t easily shareable. How multiphysics simulation of subsystems can result in an ...

As embodied AI enters a period of rapid model advancement, reliable evaluation standards remain in short supply. What can these models actually do well, and where do they fall short?

Researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: ...

This chapter presents the results of the literature review for operational traffic simulation models. Sources compiled for the literature review include guidance documents (general and DOT-specific), ...

Artificial intelligence models are jacks of many trades, including writing, generating images, and creating 3D models. But they aren't as helpful when it comes to testing robots or designs for ...

Ch. 1. Modeling and Simulation -- Ch. 2. Energy Systems Diagramming -- Ch. 3. Numbers on Networks -- Ch. 4. Simulation with Picture Blocks for Extend -- Ch. 5. Simulation with General Systems Blocks ...

As Nvidia Corp. announced new robotics innovations at last week’s Conference on Robot Learning in South Korea, the company continues to extend its product line with new capabilities and enhancements. ...

Forbes contributors publish independent expert analyses and insights. Dave Altavilla is a Tech Analyst covering chips, compute and AI. Apr 15, 2026, 02:43pm EDT This voice experience is generated by ...

The increasing vehicle design intricacies and tight production schedules require automotive engineers to adopt new tools and techniques in order to build a differentiated automotive product. Enter ...