“In an example of the present disclosure, a system includes a first computing device storing a hierarchical data design model, and a second computing device comprising at least one processor and ...
In this paper, we describe the hierarchical data model (HDM), which is a performance efficient alternative to the traditional flat CDC verification flow. The HDM is equivalent to an abstract CDC model ...
Traditionally, clock domain crossing (CDC) verification at the SoC level has relied on flat simulation runs. But flat CDC verification has run out of gas. Largely because of the increase in the number ...
The availability of large volumes of data is a key requirement in the development of efficient, robust, and advanced machine learning based prediction models. This paper introduces the ImageNet ...
This 28-page special report discusses the IEC 61850 standard for electrical substation communications, which incorporates an object-oriented hierarchical data model approach with high-level ...
Proceedings of the National Academy of Sciences of the United States of America, Vol. 117, No. 39 (September 29, 2020), pp. 24173-24179 (7 pages) Population estimates are critical for government ...
Current LLMs depend heavily on Chain-of-Thought prompting, an approach that often suffers from brittle task decomposition, immense training data demands and high latency. Inspired by the hierarchical ...
Identifying undocumented or potential future interactions among species is a challenge facing modern ecologists. Recent link prediction methods rely on trait data; however, large species interaction ...
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