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11.发明公开公开(公告)号：US20230401094A1
公开(公告)日：2023-12-14
申请号：US18255372
申请日：2021-01-29
CPC分类号： G06F9/5005 , G06F9/54 , G06F2209/509 , G06F2209/541
摘要： A method of managing task offloading to edge servers in a multi-access edge computing (MEC) system includes receiving, by a task broker implemented at a host management level of the MEC system, a task offloading request from a UE application, analyzing, by the task broker, resource requirements of a task of the task offloading request and running a forecasting mechanism that determines whether the task offloading request will eventually be dropped or not by a system management level of the MEC system. The task broker, based on the determination of the forecasting mechanism, either rejects or provisionally admits the task offloading request.
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12.发明公开公开(公告)号：US20230385281A1
公开(公告)日：2023-11-30
申请号：US18355433
申请日：2023-07-20
IPC分类号： G06F16/2455 , G06F16/901 , G06F16/31 , G06F16/22
CPC分类号： G06F16/24553 , G06F16/9024 , G06F16/322 , G06F16/2246
摘要： A memory for storing data for access by an application program includes an encoded sequential query representing m×n path queries of a query graph having a plurality of elements including m root nodes and n leaf nodes, and a missing element, wherein m and n are integer values. Each of the path queries includes a root node as a start position and a leaf node as an end position, wherein positional encodings of the elements include a positional order within each path query, wherein the positional encodings of the elements include counter values that are reset at a start position of each of the path queries, and wherein the missing element is masked. The invention can be used for, but is not limited to, medical uses, such as for predicting protein-drug interactions or medical conditions, as well as other applications, and significantly outperforms the optimized model.
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公开(公告)号：US20230367994A1
公开(公告)日：2023-11-16
申请号：US17969721
申请日：2022-10-20
CPC分类号： G06N3/045 , G06F30/20 , G06F17/142
摘要： A method for operating a hyper network machine learning system, the method including training a hyper network configured to generate main network parameters for a main network and generating, using the trained hyper network, the main network with the main network parameters, the main network having a machine learning architecture that models a spatial domain and a frequency domain to simulate a physical system.
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公开(公告)号：US20230344619A1
公开(公告)日：2023-10-26
申请号：US18344911
申请日：2023-06-30
发明人： Ghassan Karame , Wenting Li , Giorgia Azzurra Marson , Jens-Matthias Bohli , Sebastien Andreina
CPC分类号： H04L9/0637 , H04L9/3236 , H04L9/3297 , H04L9/50
摘要： A method for registering a mining computing entity (MCE) with a trusted execution environment entity (TEEE) in a blockchain of a distributed blockchain consensus network (DBCN), based on a proof-of-stake protocol, includes determining public signing information, secret signing information, and a registration timestamp and determining public account information and secret account information for a virtual wallet of the blockchain. The method further includes generating attestation information based on signing integrity information and hashing the public signing information and the public account information, and based on the attestation information, obtaining, from an attestation providing entity (APE), proving information. The method also includes sending, to the blockchain, a registration transaction that is signed with the secret account information, and registering the MCE to the blockchain.
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公开(公告)号：US20230281433A1
公开(公告)日：2023-09-07
申请号：US17728999
申请日：2022-04-26
发明人： Nicolas Weber
摘要： A computer-implemented method for compiling a neural network with tensors having dynamic shapes includes parsing the neural network using a set of global virtual dimension identifications (IDs) that define the dynamic shapes of one or more of the tensors of the neural network. The method further includes performing shape checks while building a computation graph using the set of global virtual dimension IDs, and generating a runtime code of the neural network based on the computation graph.
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公开(公告)号：US20230237321A1
公开(公告)日：2023-07-27
申请号：US17723503
申请日：2022-04-19
发明人： Flavio Cirillo , Gurkan Solmaz
CPC分类号： G06N3/08 , G06N3/0454 , G06K9/6215 , G06K9/6256 , G06F21/6245
摘要： A method preserving privacy in federated machine learning system is provided. In the method, a first computing entity in the federated learning system determines a first labeling matrix based on applying a first set of labeling functions to first data points. The first labeling matrix includes a plurality of first labels. The first computing entity obtains a similarity matrix indicating similarity scores between the first data points and second data points associated with a second computing entity. The first computing entity augments the first labeling matrix by transferring labels from a second labeling matrix into the first labeling matrix using the similarity scores between the first data points and the second data points. The first computing entity trains a discriminative machine learning model associated with the first computing entity based on the first augmented labeling matrix.
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17.发明公开公开(公告)号：US20230229974A1
公开(公告)日：2023-07-20
申请号：US18186307
申请日：2023-03-20
发明人： Mischa Schmidt , Julia Gastinger
CPC分类号： G06N20/00 , G06F9/3836 , G06F18/285 , G06F18/217
摘要： A method for automated machine learning includes controlling execution of a plurality of instantiations of different automated machine learning frameworks on a machine learning task each as a separate arm in consideration of available computational resources and time budget. During the execution by the separate arms, a plurality of machine learning models are trained and performance scores of the plurality of trained machine learning models are computed such that one or more of the plurality of trained machine learning models are selectable for the machine learning task based on the performance scores. This invention can be used for predicting patient discharge, predictive control in buildings for energy optimization, and so on.
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18.发明公开公开(公告)号：US20230214715A1
公开(公告)日：2023-07-06
申请号：US18000693
申请日：2020-09-03
摘要： A data programming method is provided for supporting artificial intelligence systems, wherein shareable labeling functions for labeling data are used. The method includes: providing at least two shareable labeling functions with their profile across domains, wherein each of the at least two shareable labeling function profiles includes at least one training-related performance metric; selecting at least one of these shareable labeling functions by a selecting domain, wherein the selecting is based on the labeling functions' at least one performance metric; grouping unlabeled data of the selecting domain for providing at least one group, wherein this grouping step is based on a definable degree of coverage of the selected shareable labeling function per unlabeled data, and training a preferably generative machine learning model of the selecting domain per at least one group with the labeling functions' respective at least one performance metric for producing labeled data or labels.
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公开(公告)号：US11593157B2
公开(公告)日：2023-02-28
申请号：US16861367
申请日：2020-04-29
发明人： Nicolas Weber
IPC分类号： G06F9/50 , G06F9/48 , G06F12/1009 , G06F13/42 , G06F12/0875 , G06F9/38
摘要： A method for providing an asynchronous execution queue for accelerator hardware includes replacing a malloc operation in an execution queue to be sent to an accelerator with an asynchronous malloc operation that returns a unique reference pointer. Execution of the asynchronous malloc operation in the execution queue by the accelerator allocates a requested memory size and adds an entry to a look-up table accessible by the accelerator that maps the reference pointer to a corresponding memory address.
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公开(公告)号：US20230052909A1
公开(公告)日：2023-02-16
申请号：US17503389
申请日：2021-10-18
摘要： A method for securing an interblockchain transaction includes receiving, from a first user application, a registration request including a first permissioned blockchain public key and a first permissionless blockchain public key. The method also includes performing, by the processing circuitry, receiving, from a second user application, a second registration request including a second permissioned blockchain public key and a second permissionless blockchain public key. The permissioned blockchain public keys are valid on the permissioned blockchain and the permissionless blockchain public keys are valid on the permissionless public blockchain. In addition, the method includes receiving, from the first user application, a transaction identification, the transaction identification identifying a first transfer transaction executed on the permissionless public blockchain. The transaction identification identifies the first and second permissionless blockchain public keys.
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