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公开(公告)号：US20240362473A1
公开(公告)日：2024-10-31
申请号：US18306687
申请日：2023-04-25
IPC分类号： G06N3/08 , G06N3/0475
CPC分类号： G06N3/08 , G06N3/0475
摘要： An embodiment for compressing media utilizing a generative adversarial network (GAN) is provided. The embodiment may include receiving one or more media assets and historical data from a knowledge corpus in accordance with an identified usage context. The embodiment may also include identifying one or more objects in the one or more media assets. The embodiment may further include deriving a relevance score for each identified object. The embodiment may also include creating a training data set. The embodiment may further include applying one or more modifications to each object in a first set. The embodiment may also include in response to determining a GAN discriminator is able to identify each object in the first set modified by the GAN generator as real, generating one or more updated media assets including a second set of one or more objects that are identified by the GAN discriminator as real.
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公开(公告)号：US20240355194A1
公开(公告)日：2024-10-24
申请号：US18304646
申请日：2023-04-21
IPC分类号： G08G1/01
CPC分类号： G08G1/0116 , G08G1/0129 , G08G1/0141
摘要： An embodiment for connecting a vehicle to entities to form a tailored vehicle-to-everything (V2X) network is provided. The embodiment may include receiving real-time and historical data from one or more sources and an opt-in from a primary vehicle and one or more secondary vehicles. The embodiment may also include identifying one or more entity types that influenced a historical driving decision. The embodiment may further include identifying a contextual situation of one or more roadways in a geographical area. The embodiment may also include deriving one or more required entities for the primary vehicle to implement a driving decision on at least one roadway of the one or more roadways during a specific time period. The embodiment may further include creating a tailored V2X network for the primary vehicle. The embodiment may also include causing the primary vehicle to implement the driving decision.
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公开(公告)号：US20240354564A1
公开(公告)日：2024-10-24
申请号：US18303968
申请日：2023-04-20
IPC分类号： G06N3/08
CPC分类号： G06N3/08
摘要： An integrated sensor array may include a semiconductor substrate. The integrated sensor array may be arranged in multiple sensor sub-arrays formed on the substrate. Each sensor sub-array may include multiple, densely packed cross-reactive sensors. Each cross-reactive sensor of within the same sensor sub-array may be functionalized differently than each of the other cross-reactive sensor of the same sensor sub-array.
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公开(公告)号：US20240256733A1
公开(公告)日：2024-08-01
申请号：US18159907
申请日：2023-01-26
发明人： Fang Lu , Martin G. Keen , Jeremy R. Fox , Sarbajit K. Rakshit
IPC分类号： G06F30/20 , B29C64/393 , B33Y50/02
CPC分类号： G06F30/20 , B29C64/393 , B33Y50/02 , G06F2113/10 , G06F2119/18
摘要： An embodiment for correcting a problem during an assembly of a 3D object utilizing a 3D printing solution is provided. The embodiment may include receiving a 3D printing blueprint. The embodiment may also include executing a virtual simulation of the assembly of the plurality of 3D blocks. The embodiment may further include in response to determining at least one problem condition arises during the execution of the virtual simulation, identifying the at least one problem condition among the plurality of 3D blocks. The embodiment may also include executing a digital twin simulation of a digital twin model of a plurality of physically assembled 3D blocks. The embodiment may further include generating a correction plan including one or more corrective actions to be performed on the plurality of physically assembled 3D blocks. The embodiment may also include executing the one or more corrective actions.
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公开(公告)号：US20240202386A1
公开(公告)日：2024-06-20
申请号：US18066445
申请日：2022-12-15
IPC分类号： G06F30/20
摘要： A method, computer program, and computer system are provided for structural health monitoring. A signal corresponding to interrogation of sensors embedded within structural components associated with a structure is transmitted by a handheld or vehicle-mounted interrogator. A backscattered response signal including sensor data associated with the structure is received by the interrogator. The sensor data is compared to a threshold value corresponding to a safety factor of the structure. Maintenance or manual inspection of the structure is scheduled based on the sensor data being above the threshold value.
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公开(公告)号：US20240161408A1
公开(公告)日：2024-05-16
申请号：US18055911
申请日：2022-11-16
IPC分类号： G06T19/00
CPC分类号： G06T19/00
摘要： Embodiments of the invention are directed to a computer-implemented method that includes accessing, using a processor system, a three-dimensional (3D) model of a device-under-design (DUD). The processor system is used to receive a first design operation associated with the 3D model of the DUD. A collaboration dependency model is used to make a prediction of a dependency relationship between the first design operation and a second design operation.
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公开(公告)号：US20240161365A1
公开(公告)日：2024-05-16
申请号：US18054162
申请日：2022-11-10
发明人： Atul Mene , Martin G. Keen , Sarbajit K. Rakshit , Tushar Agrawal
摘要： Images placed in documents are enhanced based on the context in which the image is used. Context is determined according to document-specific indicators such as nearby text, headings, titles, and tables of content. A generative adversarial network (GAN) modifies the image according to the context to selectively emphasize relevant components of the image, which may include erasing or deleting irrelevant components. Relevant general-purpose images may be retrieved for use in the document and may be selectively enhanced according to usage of the general-purpose image in a given document.
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公开(公告)号：US20240154832A1
公开(公告)日：2024-05-09
申请号：US18482109
申请日：2023-10-06
CPC分类号： H04L12/1827 , H04L12/1831 , H04L65/80
摘要： According to one embodiment, a method, computer system, and computer program product for web conference recording correction is provided. The embodiment may include identifying one or more quality issues with a server-side recording of a web conference. The embodiment may also include generating a reconstruction of the server-side recording wherein generating the reconstruction includes tagging a quality issue within the one or more quality issues with metadata, grouping the one or more quality issues based on a hierarchy of the metadata, transmitting a request for a client-side recording of the web conference based on the hierarchy and a reconstruction process, and performing the reconstruction process.
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公开(公告)号：US20240144337A1
公开(公告)日：2024-05-02
申请号：US18050103
申请日：2022-10-27
CPC分类号： G06Q30/0623 , G06N20/00
摘要： A computer-implemented method, a computer system and a computer program product automatically generate product videos based on requested feature sets in stored data. the method includes acquiring a plurality of product features from a server, where each product feature in the plurality of product features is associated with data selected from a group consisting of: text data, audio data, and image data. The method also includes receiving a request for a product video, where a product in the product video comprises a set of product features in the plurality of product features. The method further includes identifying the data associated with each product feature in the set of product features for the request. Lastly, the method includes generating the product video based on identified data for the product.
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公开(公告)号：US20240096374A1
公开(公告)日：2024-03-21
申请号：US17933179
申请日：2022-09-19
IPC分类号： G11B27/031
CPC分类号： G11B27/031
摘要： According to one embodiment, a method, computer system, and computer program product for selectively recording meetings is provided. The embodiment may include initiating a digital meeting. The embodiment may also include determining two or more rule sets, including one or more local rule sets, for selectively recording the digital meeting, wherein each rule set includes one or more rules. The embodiment may further include recording one or more recordings of the digital meeting according to each local rule set.
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