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Neural architecture search (NAS) [1] [2] is a technique for automating the design of artificial neural networks (ANN), a widely used model in the field of machine learning.NAS has been used to design networks that are on par with or outperform hand-designed architectures.
In 2021, investment in AAM set a record at more than $7 billion. [243] AAM is intended to safely and efficiently integrate highly or fully automated new aircraft into the NAS and the aviation ecosystem with or without a pilot aboard while cruising at altitudes between 2,000 and 5,000 feet mean sea level. [244]
Non-access stratum (NAS) is a functional layer in the NR, LTE, UMTS and GSM wireless telecom protocol stacks between the core network and user equipment. [1] This layer is used to manage the establishment of communication sessions and for maintaining continuous communications with the user equipment as it moves.
PNAS was established by the National Academy of Sciences (NAS) in 1914, [note 1] [8] [9]: 30 with its first issue published in 1915. The NAS itself was founded in 1863 as a private institution, but chartered by the United States Congress, with the goal to "investigate, examine, experiment and report upon any subject of science or art."
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By 2021, three major types of NAS solutions are offered (all with hybrid cloud models where data can be stored both on-premise on the NAS and off site on a separate NAS or through a public cloud service provider). The first type of NAS is focused on consumer needs with lower-cost options that typically support 1–5 hot plug hard drives.
NAS is part of the National Academies of Sciences, Engineering, and Medicine, along with the National Academy of Engineering (NAE) and the National Academy of Medicine (NAM). As a national academy , new members of the organization are elected annually by current members, based on their distinguished and continuing achievements in original research.
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