Researchers propose a deep learning-based framework PowerPlanningDL to predict the initial power grid design, showing the equivalence between the neural network training and power grid design. “With ...
Programmable material systems are emerging architectural structures but the co-design of structure, material, and external stimuli present grand challenges. A team with Northwestern Engineering’s Wei ...
Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...
Reliability and safety are two inter-relatable terms that define the overall effectiveness of any working system ― be it an electrical system, mechanical system, or a combination of both. The concept ...
We have been writing about the Financial Accounting Standards Board's Conceptual Framework, offering suggestions to the board as it fixes up the framework some 20 years after it was produced. So far, ...
When a global medical device company needed help setting up a reliability program, Marie Getsug was up for the task. As a program manager of strategic consulting for asset management at Jacobs ...
Low-code platforms now power enterprise applications at the speed and agility that traditional development cannot match. Yet adoption in healthcare, finance and government is cautious—not for lack of ...
Integrated circuit (IC) design reliability has always been important and essential to market success. After all, if no one could count on your product to operate as designed, and for as long as ...
Forbes contributors publish independent expert analyses and insights. Chief Analyst & CEO, NAND Research. Nearly every enterprise infrastructure is based on a hybrid cloud architecture. While flexible ...
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