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11. 发明申请

US20230121158A1 VIRUS AUTONOMOUS DEFENSE SYSTEM (VADS) 有权
公开(公告)号：US20230121158A1
公开(公告)日：2023-04-20
申请号：US17885959
申请日：2022-08-11
申请人： The United States of America, as represented by the Secretary of the Navy
发明人： Michael A. Meinhart , Bryan Daugherty
IPC分类号： G06F21/56 , G06N5/025 , G06N5/01
摘要： Apparatus and methods are provided in relation to an autonomous computer system that can defend against known and unknown virus and malware attacks. Various embodiments include a Virus Autonomous Defense System (VADS) can on its own without human intervention once it is turned on. Embodiments can incorporate hardware coupled with various types of artificial Intelligence software and systems to perform response functions including closing ports that are being compromised, analyze an attack, and develop software scripts (signatures) to defend against future attacks, and create responses which defeat an attack that can include a follow on response of freeing up an attacked port for continual operation.

12. 发明授权

US11630314B2 Training a neural network with representations of user interface devices 有权
公开(公告)号：US11630314B2
公开(公告)日：2023-04-18
申请号：US17719885
申请日：2022-04-13
申请人： Magic Leap, Inc.
发明人： Adrian Kaehler , Gary R. Bradski , Vijay Badrinarayanan
IPC分类号： G06F3/01 , G02B27/01 , G06N3/10 , G06V20/10 , G06V20/20 , G06V40/20 , G06F18/214 , G06F18/00 , G06N3/044 , G06N3/045 , G06N3/048 , G06T7/70 , G06F3/0346 , G06F3/04815 , G06N3/08 , G06T19/00 , G06N5/025 , G06V10/44 , G06N3/047 , G06N5/01 , G06N7/01
摘要： An example wearable display system can be capable of determining a user interface (UI) event with respect to a virtual UI device (e.g., a button) and a pointer (e.g., a finger or a stylus) using a neural network. The wearable display system can render a representation of the UI device onto an image of the pointer captured when the virtual UI device is shown to the user and the user uses the pointer to interact with the virtual UI device. The representation of the UI device can include concentric shapes (or shapes with similar or the same centers of gravity) of high contrast. The neural network can be trained using training images with representations of virtual UI devices and pointers.

13. 发明授权

US11625621B2 Data clustering 有权
公开(公告)号：US11625621B2
公开(公告)日：2023-04-11
申请号：US16744506
申请日：2020-01-16
申请人： Accenture Global Solutions Limited
发明人： Maziyar Baran Pouyan , Yao A. Yang , Saeideh Shahrokh Esfahani , Andrew E. Fano , David William Vinson , Timothy M. Shea
IPC分类号： G06N5/025 , G06N20/10 , G06F18/2323 , G06F18/214 , G06F18/2411 , G06N5/01
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for clustering data are disclosed. In one aspect, a method includes the actions of receiving feature vectors. The actions further include accessing rules that each relate one or more values of the feature vectors to a respective label of a plurality of labels. The actions further include, based on the rules, generating heuristics that each identify related values of the feature vectors. The actions further include, for each of the heuristics, generating a matrix that reflects a similarity of the feature vectors. The actions further include, based on the matrices that each reflects a respective similarity of the feature vectors, generating clusters that each include a subset of the feature vectors. The actions further include, for each cluster, determining a label of the plurality of labels.

14. 发明申请

WO2023081879A1 COMPRESSED DOMAIN MOTION DETECTION 审中-公开
公开(公告)号：WO2023081879A1
公开(公告)日：2023-05-11
申请号：PCT/US2022/079389
申请日：2022-11-07
申请人： SMARTTHINGS, INC.
发明人： JAIN, Megha , BLADES, Sayre , RIDGEWAY, Jay
IPC分类号： G06V20/40 , G06V10/75 , G06N5/01 , G06T7/223 , G06V10/758 , G06V10/761 , G06V20/44 , G06V20/46 , G06V20/48 , G06V20/70
摘要： Methods and systems for detecting motion using video data from a smart camera device. In some embodiments, and by non-limiting example, this disclosure is directed to detecting motion in the compressed video domain. One aspect is a method comprising receiving compressed video data, extracting macroblocks and motion vectors for a plurality of frames in the compressed video data, identifying frame-level features for each of the plurality of frames based on the macroblocks and the motion vectors, calculating similarity features for each of the identified frame-level features based on the frame-level features identified in consecutive frames, and predicting motion for each of the plurality of frames by providing the frame-level features and the similarity features into a model trained to detect motion.

15. 发明申请

WO2023057651A1 RATING TASKS AND POLICIES USING CONDITIONAL PROBABILITY DISTRIBUTIONS DERIVED FROM EQUILIBRIUM-BASED SOLUTIONS OF GAMES 审中-公开
公开(公告)号：WO2023057651A1
公开(公告)日：2023-04-13
申请号：PCT/EP2022/078056
申请日：2022-10-10
申请人： DEEPMIND TECHNOLOGIES LIMITED
发明人： MARRIS, Luke Christopher
IPC分类号： G06N3/00 , G06N5/00 , G06N3/08 , G06N7/00 , G06N3/006 , G06N3/084 , G06N3/086 , G06N5/01 , G06N7/01
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for rating tasks and policies using conditional probability distributions derived from equilibrium-based solutions of games. One of the methods includes: determining, for each action selection policy in a pool of action selection policies, a respective performance measure of the action selection policy on each task in a pool of tasks, processing the performance measures of the action selection policies on the tasks to generate data defining a joint probability distribution over a set of action selection policy - task pairs, and processing the joint probability distribution over the set of action selection policy - task pairs to generate a respective rating for each action selection policy in the pool of action selection policies, where the respective rating for each action selection policy characterizes a utility of the action selection policy in performing tasks from the pool of tasks.

16. 发明申请

WO2022268808A1 ADVANCED RESPONSE PROCESSING IN WEB DATA COLLECTION 审中-公开
公开(公告)号：WO2022268808A1
公开(公告)日：2022-12-29
申请号：PCT/EP2022/066874
申请日：2022-06-21
申请人： METACLUSTER LT, UAB
发明人： JURAVICIUS, Martynas , KUKSTA, Andrius
IPC分类号： G06F16/35 , G06F16/951 , G06V10/82 , G06F16/953 , G06F18/2178 , G06F18/24155 , G06N20/00 , G06N20/10 , G06N20/20 , G06N3/08 , G06N5/01 , G06N7/01 , G06V10/464
摘要： Advanced response processing in web data collection discloses processor-implemented apparatuses, methods, and systems of processing unstructured raw HTML responses collected in the context of a data collection service, the method comprising, in one embodiment, receiving raw unstructured HTML documents and extracting text data with associated meta information that may comprise style and formatting information. In some embodiments data field tags and values may be assigned to the text blocks extracted, classifying the data based on the processing of Machine Learning algorithms. Additionally, blocks of extracted data may be grouped and re-grouped together and presented as a single data point. In another embodiment the system may aggregate and present the text data with the associated meta information in a structured format. In certain embodiments the Machine Learning model may be a model trained on a pre-created training data set labeled manually or in an automatic fashion.

17. 发明申请

WO2023081084A1 DECENTRALISED QUBO SOLVER AND CRYPTOCURRENCY GENERATION 审中-公开
公开(公告)号：WO2023081084A1
公开(公告)日：2023-05-11
申请号：PCT/US2022/048360
申请日：2022-10-31
申请人： MASTERCARD INTERNATIONAL INCORPORATED
发明人： MARIELLA, Nicola
IPC分类号： H04L9/00 , G06N10/60 , G06N5/01 , G06N7/01
摘要： A routing optimization computer implemented method is provided, comprising the steps: (a) determining, by the classical computer, a non-convex sub- problem and a convex sub-problem of a constrained, optimization problem, the constrained optimization problem comprising: a binary variable indicative of a vehicle visiting a plurality of nodes; and a continuous variable representative of a time at which the vehicle arrives at each of the plurality of nodes; wherein the continuous variable is fixed for the non-convex sub-problem and the binary variable is fixed for the convex sub-problem; (b) generating, by the classical computer, a smart contract corresponding to the non-convex sub-problem; (c) transmitting, by the classical computer, the smart contract to a distributed ledger; (d) broadcasting, by the distributed ledger, the smart contract to a plurality of solvers; (e) receiving, at the distributed ledger, a first binary solution to the non-convex sub-problem from a first solver; (f) receiving, at the distributed ledger, a further binary solution to the non- convex sub-problem from a second solver; (g) determining, by a decision mechanism of the distributed ledger, a more suitable solution of the first binary solution and the further binary' solution; (h) transmitting, by the distributed ledger to the solver of the more suitable binary solution, a payment associated with the smart contract; (1) transmitting, by the distributed ledger to the classical computer, the more suitable binary solution; (j) determining, by the classical computer, a time solution to the convex sub-problem using the more suitable binary solution as the binary variable; (k) repeating steps (b) to (c), using the time solution as the continuous variable, until a threshold is met; and (1) mapping the binary solution and the time solution to the constrained optimization problem, thereby providing an optimized routing.

18. 发明申请

WO2023064941A1 TECHNIQUES FOR DETERMINING DIMENSIONS OF DATA 审中-公开
公开(公告)号：WO2023064941A1
公开(公告)日：2023-04-20
申请号：PCT/US2022/078172
申请日：2022-10-14
申请人： NVIDIA CORPORATION
发明人： GROVER, Vinod , COLLINS, Alexander James
IPC分类号： G06N3/0464 , G06F8/30 , G06F8/41 , G06N3/063 , G06N3/08 , G06N5/01 , G06N5/046
摘要： Apparatuses, systems, and techniques to determine dimensions of one or more sets of data. In at least one embodiment, a processor causes one or more dimensions of one or more sets of data to be determined using one or more dimensional constraints of the one or more sets of data.

19. 发明申请

WO2022271528A1 EXPLAINABLE ARTIFICIAL INTELLIGENCE IN COMPUTING ENVIRONMENT 审中-公开
公开(公告)号：WO2022271528A1
公开(公告)日：2022-12-29
申请号：PCT/US2022/033822
申请日：2022-06-16
申请人： GOOGLE LLC
发明人： CHENG, Xi , YIN, Lisa , LIU, Jiashang , HORMATI, Amir, Hossein , DENG, Mingge , MEYERS, Christopher, Avery
IPC分类号： G06N5/00 , G06N20/20 , G06N3/04 , G06F16/245 , G06F18/214 , G06N20/00 , G06N3/044 , G06N3/045 , G06N5/01 , G06N5/045
摘要： The disclosure is directed to a query-driven machine learning platform for generating feature attributions and other data for interpreting the relationship between inputs and outputs of a machine learning model. The platform can receive query statements for selecting data, training a machine learning model, and generating model explanation data for the model. The platform can distribute processing for generating the model explanation data to scale in response to requests to process selected data, including multiple records with a variety of different feature values. The interface between a user device and the machine learning platform can streamline deployment of different model explainability approaches across a variety of different machine learning models.

20. 发明公开

CN118053512A 一种基于约束灰色预测演化算法的相平衡计算方法审中-公开
公开(公告)号：CN118053512A
公开(公告)日：2024-05-17
申请号：CN202410143292.8
申请日：2024-01-31
申请人：长江大学
发明人：苏清华 , 湛雅倩 , 吴海涛 , 熊凯俊 , 刘瑶环
IPC分类号： G16C20/30 , G16C20/70 , G16C10/00 , G06F30/27 , G06N5/01 , G06N3/006 , G06F111/04 , G06F113/08
摘要：本发明提供一种基于约束灰色预测演化算法的相平衡计算方法，包括：采集NVT闪蒸计算的数据集；以总亥姆霍兹自由能为目标函数，其中一相的摩尔向量和体积为决策变量，构建NVT闪蒸计算的数学模型，并定义NVT闪蒸计算的数学模型的约束条件；设置约束灰色预测演化算法的参数，基于约束灰色预测演化算法对NVT闪蒸计算的数学模型进行迭代求解，获取达到相平衡时的相图，以及随着迭代次数增加，总亥姆霍兹自由能收敛图。本发明将NVT问题中的约束条件添加到GPE的原始操作步骤中，提出了一种基于约束灰色预测演化算法(CGPE)的NVT闪蒸计算方法，克服了目前已有方法都高度依赖相稳定分析提供的初始值，对初始值敏感的缺点。

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