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公开(公告)号:USD1072868S1
公开(公告)日:2025-04-29
申请号:US29873397
申请日:2023-03-30
Applicant: Google LLC
Designer: Hank H. Huang , Alex Tursi , Elbert Tiao , Jane Yoon , Byeong Chae Cho , John Schlemmer , Soyoung Park , Sarah Goldschmidt , Hannah Cho
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公开(公告)号:US12288983B2
公开(公告)日:2025-04-29
申请号:US18081058
申请日:2022-12-14
Applicant: Google LLC
Inventor: Hammad Ahmad Khan , Kei Hao
IPC: H02J3/00 , G01R19/165 , H02J3/38 , H02J13/00
Abstract: Generally disclosed herein is a power system architecture for controlling self-healing operations for N number of feeder units. The power system architecture may restore power automatically to all feeder units when a loss of power occurs by reconfiguring the status of feeder unit breakers. The power system architecture may also reconfigure and restore power automatically by opening and closing feeder unit breakers when a loss of source returns. The power system architecture may further reconfigure and restore power automatically for as many feeder units as possible under abnormal conditions such as fault scenarios, breaker failures, operation failures, and relay failures.
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公开(公告)号:US12288687B2
公开(公告)日:2025-04-29
申请号:US18438142
申请日:2024-02-09
Applicant: Google LLC
Inventor: Anthony Edward Megrant
IPC: G03F7/09 , H01L21/027 , H01L21/3213
Abstract: A method of fabricating a device is presented. The method includes forming a multilayer stack on a substrate which has a principal surface. The multilayer stack includes a supporting layer formed over the principal surface of the substrate and a photoresist layer formed on the supporting layer, patterning the multilayer stack to form at least one opening such that the photoresist layer is undercut by the supporting layer and anisotropically dry etching the substrate.
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公开(公告)号:US12287745B2
公开(公告)日:2025-04-29
申请号:US18229616
申请日:2023-08-02
Applicant: Google LLC
Abstract: DMA architectures capable of performing multi-level multi-striding and determining multiple memory addresses in parallel are described. In one aspect, a DMA system includes one or more hardware DMA threads. Each DMA thread includes a request generator configured to generate, during each parallel memory address computation cycle, m memory addresses for a multi-dimensional tensor in parallel and, for each memory address, a respective request for a memory system to perform a memory operation. The request generator includes m memory address units that each include a step tracker configured to generate, for each dimension of the tensor, a respective step index value for the dimension and, based on the respective step index value, a respective stride offset value for the dimension. Each memory address unit includes a memory address computation element configured to generate a memory address for a tensor element and transmit the request to perform the memory operation.
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公开(公告)号:US20250132942A1
公开(公告)日:2025-04-24
申请号:US18681511
申请日:2022-08-05
Applicant: GOOGLE LLC
Inventor: Chih-Hsiang Wu
Abstract: To manage reception of Multicast and Broadcast Services (MBS) data, a user equipment (UE) receives, from a radio access network (RAN), a paging message including an MBS session identifier (ID), the MBS session ID including a Temporary Mobile Group Identity (TMGI); and initiates reception of MBS in response to the paging message.
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公开(公告)号:US20250131984A1
公开(公告)日:2025-04-24
申请号:US18687059
申请日:2022-08-29
Applicant: Google LLC
Inventor: Andrew Walker Carroll , Gunjan Baid , Pi-Chuan Chang , Daniel Elwood Cook , Maria Nattestad , Taedong Yun , Cory Yuen Fu McLean , MD Kishwar Shafin , Jean-Philippe Vert , Quentin Didier Olivier Berthet , Felipe Llinares López , Ashish Teku Vaswani
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for sequence error correction using neural networks.
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公开(公告)号:US20250131917A1
公开(公告)日:2025-04-24
申请号:US19001061
申请日:2024-12-24
Applicant: Google LLC
Inventor: Petar Aleksic , Pedro J. Moreno Mengibar
IPC: G10L15/07 , G10L15/01 , G10L15/18 , G10L15/187 , G10L15/197 , G10L15/30
Abstract: Methods, systems, and apparatus for receiving audio data corresponding to a user utterance and context data, identifying an initial set of one or more n-grams from the context data, generating an expanded set of one or more n-grams based on the initial set of n-grams, adjusting a language model based at least on the expanded set of n-grams, determining one or more speech recognition candidates for at least a portion of the user utterance using the adjusted language model, adjusting a score for a particular speech recognition candidate determined to be included in the expanded set of n-grams, determining a transcription of user utterance that includes at least one of the one or more speech recognition candidates, and providing the transcription of the user utterance for output.
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公开(公告)号:US20250131909A1
公开(公告)日:2025-04-24
申请号:US19007920
申请日:2025-01-02
Applicant: Google LLC
Inventor: Matthew Sharifi , Jakob Nicolaus Foerster
IPC: G10L13/00 , G06F40/253 , G06F40/289 , G10L13/08
Abstract: In some implementations, a language proficiency of a user of a client device is determined by one or more computers. The one or more computers then determines a text segment for output by a text-to-speech module based on the determined language proficiency of the user. After determining the text segment for output, the one or more computers generates audio data including a synthesized utterance of the text segment. The audio data including the synthesized utterance of the text segment is then provided to the client device for output.
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公开(公告)号:US20250131740A1
公开(公告)日:2025-04-24
申请号:US18382189
申请日:2023-10-20
Applicant: GOOGLE LLC
Inventor: Dan Lingenfelter , Stephen Russell
Abstract: To detect a change in lane marker geometry, a computing device receives map patch data from one or more vehicles within a geographic area indicative of measured lane marker positions. For each data point within the map patch data, the computing device determines an error metric based on one or more differences between one or more measured lane marker positions for the data point and one or more reference lane marker positions from a database. The computing device identifies relationships between the data points according to the error metric for each data point, a time when each data point was collected, or a location of each data point, and identifies a lane marker change event occurring within the geographic area based on the relationships between the data points. Then the computing device discards reference lane marker positions from the database corresponding to the lane marker change event.
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公开(公告)号:US20250131694A1
公开(公告)日:2025-04-24
申请号:US18688257
申请日:2021-09-09
Applicant: Google LLC
Inventor: Ahmet Iscen , Jack Louis Valmadre , Anurag Arnab , Cordelia Luise Schmid
IPC: G06V10/774 , G06V10/74 , G06V10/764 , G06V10/77 , G06V10/776 , G06V10/82 , G06V20/70
Abstract: Systems and methods for classification model training can use feature representation neighbors for mitigating label training overfitting. The systems and methods disclosed herein can utilize neighbor consistency regularization for training a classification model with and without noisy labels. The systems and methods can include a combined loss function with both a supervised learning loss and a neighbor consistency regularization loss.
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