Machine design engineers working in the medical device field might draw inspiration from AuraWell’s iterative, ...
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Transition from the cloud to the edge for generative AI. New product challenges for generative AI at the edge. Choosing an edge AI solution that meets these new challenges. When most people think ...
All over the world, governments and industry have come together to solve large-scale chip design challenges. Groups such as the U.S. Department of Defense’s Microelectronics Hubs (ME Commons), the EU ...
The global modern industry is a massive operation that works on a scale almost impossible to comprehend. At every stage, it depends on the ability to move, support, and control heavy loads safely.
Software engineers have a host of tooling to organize their projects, chief being Git software like GitLab or GitHub, but hardware engineers today lack that same organizing principle. They are stuck ...
The transition to the 2nm technology node introduces unprecedented challenges in Automated Test Equipment (ATE) bring-up and manufacturability. As semiconductor devices scale down, the complexity of ...
These new AI assistants can analyze design constraints and create custom machine learning models as well as read, import and display point cloud data augmented with AI ...