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公开(公告)号:US20240135081A1
公开(公告)日:2024-04-25
申请号:US18048007
申请日:2022-10-18
Applicant: Meta Platforms Technologies, LLC
Inventor: Weiping Dou , Jiang Zhu , Yuandong Tian , Andrew Cohen , Ulf Jan-Ove Mattsson , Peter Eli Renner , Yang Zhong , Xiaomeng Yang , Geng Ye
CPC classification number: G06F30/39 , G06F30/31 , G06F2115/12
Abstract: The disclosed computer-implemented method may include accessing various antenna elements and identifying parameters for an antenna that is to be formed using the accessed antenna elements. The method may also include assembling the antenna elements, using an artificial intelligence (AI) instance, into an assembled antenna that at least partially complies with the identified parameters. Various other methods, systems, and computer-readable media are also disclosed.
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公开(公告)号:US20240232494A9
公开(公告)日:2024-07-11
申请号:US18048007
申请日:2022-10-19
Applicant: Meta Platforms Technologies, LLC
Inventor: Weiping Dou , Jiang Zhu , Yuandong Tian , Andrew Cohen , Ulf Jan-Ove Mattsson , Peter Eli Renner , Yang Zhong , Xiaomeng Yang , Geng Ye
CPC classification number: G06F30/39 , G06F30/31 , G06F2115/12
Abstract: The disclosed computer-implemented method may include accessing various antenna elements and identifying parameters for an antenna that is to be formed using the accessed antenna elements. The method may also include assembling the antenna elements, using an artificial intelligence (AI) instance, into an assembled antenna that at least partially complies with the identified parameters. Various other methods, systems, and computer-readable media are also disclosed.
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公开(公告)号:US20240211660A1
公开(公告)日:2024-06-27
申请号:US18392965
申请日:2023-12-21
Applicant: Meta Platforms Technologies, LLC
Inventor: Weiping Dou , Yuandong Tian , Andrew Cohen , Jiang Zhu , Geng Ye , Ulf Jan Ove Mattsson , Peter Eli Renner , Beidi Chen , Xiaomeng Yang , Kevin Stone , Slawomir Marcin Koziel
IPC: G06F30/27
CPC classification number: G06F30/27
Abstract: The disclosed computer-implemented method may include generating, using a machine-learning model of a computing device, a set of antenna designs. The method may also include tokenizing, by the computing device, each antenna design in the generated set of antenna designs. Additionally, the method may include predicting, by the machine-learning model of the computing device, a frequency response for each tokenized antenna design. Furthermore, the method may include comparing, by the computing device, the frequency response for each tokenized antenna design. Finally, the method may include selecting, by the computing device based on the comparison, an antenna design that meets a performance threshold for the frequency response. Various other methods, systems, and computer-readable media are also disclosed.
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