Abstract: The traditional methods of solving topology optimization depends on finite element method (FEM). However, the iterative calculation of FEM increases the time cost of topology optimization ...

AI-powered search isn’t coming. It’s already here: As rankings and clicks matter less, citations matter more. Businesses now need content that AI engines trust and reference when answering questions.

The paper provides an overview of the topology for bidirectional converters and discusses their different usage. Bidirectional energy flow applications are usually found in energy storage systems, ...

For years, SEOs optimized pages around keywords. But Google now understands meaning through entities and how they relate to one another: people, products, concepts, and their topical connections ...

Using the right model and the right prompt is only part of the enterprise AI challenge, it's also critical to optimize the prompt. The breakthrough in prompt optimization arrives alongside Databricks' ...

CAMBRIDGE, U.K. – A small Microsoft Research team had lofty goals when it set out four years ago to create an analog optical computer that would use light as a medium for solving complex problems.

ABSTRACT: The aim of this research article is to apply topological optimization gradient algorithm applied to 1D and 2D photonic charged slabs. We compute the topological gradient using min max method ...

Nearly a quarter (24%) of buy-side trading desks plan to implement internal AI technologies for trade execution in the next 12 months, with 15% already doing so, according to a new report from Crisil ...

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful. PROVIDENCE, R.I. [Brown University] — With the rise of 3D ...

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