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公开(公告)号：US12093975B2
公开(公告)日：2024-09-17
申请号：US17029777
申请日：2020-09-23
发明人： Craig M. Trim , John D. Wilson , Shikhar Kwatra , Jeremy R. Fox
IPC分类号： G06Q30/0242
CPC分类号： G06Q30/0244
摘要： A method, computer system, and computer program product for asynchronous content embedding is provided. The embodiment may include receiving a plurality of text and data associated with an element of media content. The embodiment may also include displaying the plurality of received text on a display screen. The embodiment may further include caching the received data until all data to fully display the element is received. The embodiment may also include identifying an insertion point for the element within the plurality of displayed text. The embodiment may further include displaying the element at the insertion point.
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公开(公告)号：US20240296176A1
公开(公告)日：2024-09-05
申请号：US18117281
申请日：2023-03-03
IPC分类号： G06F16/332 , G06F9/54 , G06F40/274
CPC分类号： G06F16/3322 , G06F9/543 , G06F40/274
摘要： Using a probability distribution and a search result history, a probability of selecting a specified number of relevant samples and a specified number of irrelevant samples from a set of contents is computed, each content in the set of contents comprising a content copied to a first system clipboard of a first device. Using the probability distribution, each content in the set of contents is weighted. Using the weighted set of contents, a set of predicted searches is generated. The set of predicted searches is presented for selection responsive to an indication of intent to perform a search. A selected search within the set of predicted searches is caused to be performed.
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公开(公告)号：US12008120B2
公开(公告)日：2024-06-11
申请号：US17339826
申请日：2021-06-04
CPC分类号： G06F21/6209 , G06F11/1004 , G06F18/23 , G06F21/602 , G06F40/205 , G06N20/20
摘要： Techniques are described relating to data distribution and security in a multilayer storage infrastructure. An associated computer-implemented method includes receiving file data associated with a user for storage in a managed services domain, applying an ensemble learning model to devise a data distribution technique for the file data based upon contextual information associated with the user, and encrypting the file data. The method further includes, based upon the data distribution technique, dividing the file data to store among a cloud computing layer, a fog computing layer, and a local computing layer by performing a hash transformation and applying at least one cyclic error correcting code. In an embodiment, the method further includes receiving a data access request associated with the file data, authenticating the data access request, and restoring the file data via decryption.
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公开(公告)号：US11977813B2
公开(公告)日：2024-05-07
申请号：US17248153
申请日：2021-01-12
发明人： Shikhar Kwatra , Jeremy R. Fox , Paul N. Krystek
摘要： A method, computer system, and a computer program product for sound management is provided. The present invention may include generating a multidimensional risk vector relating to a current contextual activity of a user. The present invention may include dynamically monitoring at least one sound generating device within a predefined threshold distance of a chatbot of the user. The present invention may include determining that an audio adjustment of the at least one sound generating device is warranted. The present invention may include performing the audio adjustment.
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公开(公告)号：US11972759B2
公开(公告)日：2024-04-30
申请号：US17109994
申请日：2020-12-02
IPC分类号： G10L15/19 , G06V10/40 , G06V20/40 , G06V30/10 , G10L15/10 , G10L15/18 , G10L15/22 , H04N21/439 , H04N21/44
CPC分类号： G10L15/19 , G06V10/40 , G06V20/41 , G06V30/10 , G10L15/10 , G10L15/1815 , G10L15/22 , H04N21/4394 , H04N21/44008
摘要： Mitigating mistranscriptions resolves errors in a transcription of the audio portion of a video based on a semantic matching with contextualized data electronically garnered from one or more sources other than the audio portion of the video. A mistranscription is identified using a pretrained word embedding model that maps words to an embedding space derived from the contextualizing data. A similarity value for each vocabulary word of a multi-word vocabulary of the pretrained word embedding model is determined in relation to the mistranscription. Candidate words are selected based on the similarity values, each indicating a closeness of a corresponding vocabulary word to the mistranscription. The textual rendering is modified by replacing the mistranscription with a candidate word that, based on average semantic similarity values, is more similar to the mistranscription than is each other candidate word.
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公开(公告)号：US11954209B2
公开(公告)日：2024-04-09
申请号：US17655439
申请日：2022-03-18
发明人： Aaron K. Baughman , Tiberiu Suto , Shikhar Kwatra , Jeremy R. Fox
IPC分类号： G06F21/57 , G06Q10/1053
CPC分类号： G06F21/577 , G06Q10/1053 , G06F2221/034
摘要： The present invention includes an embodiment that may determine an access level within an organization. The embodiment may generate a simulated scenario based on the access level. The embodiment may identify responses of the user to the generated simulated scenario. The embodiment may capture one or more input frames. The embodiment may analyze the responses and the one or more input frames and generate education for the user based on the responses and the one or more input frames.
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公开(公告)号：US20240104625A1
公开(公告)日：2024-03-28
申请号：US17935230
申请日：2022-09-26
IPC分类号： G06Q30/06
CPC分类号： G06Q30/0631 , G06Q30/0635
摘要： Techniques are described with respect to a system, method, and computer product for improving product demand. An associated method includes generating a food profile based on a food inventory of a user the food inventory available to a computing device in a computer-accessible form; and identifying at least one food recipe based on the food profile, the food recipe available in a computer-accessible form. The method further includes determining a plurality of food items associated with the food inventory; identifying one or more absent food items associated with the at least one food recipe from the plurality of food items, the one or more absent food items being absent from the food inventory; and communicating to the user that the one or more absent food items are absent from the food inventory.
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公开(公告)号：US20240062328A1
公开(公告)日：2024-02-22
申请号：US17820587
申请日：2022-08-18
IPC分类号： G06T3/00
CPC分类号： G06T3/0093
摘要： Aspects of the invention include systems and methods configured for hyper-personalized feature morphing of an avatar within a metaverse. A non-limiting example computer-implemented method includes predicting a next interaction for the avatar and comparing one or more current features of the avatar to one or more feature requirements for the predicted next interaction. The method further includes determining, based on the comparison, that one or more current features of the avatar do not match one or more feature requirements for the predicted next interaction. Responsive to the determination, features of the avatar are altered to satisfy the one or more feature requirements for the predicted next interaction.
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公开(公告)号：US20230401593A1
公开(公告)日：2023-12-14
申请号：US17747141
申请日：2022-05-18
CPC分类号： G06Q30/0206 , G06Q20/1235 , G06Q30/0645 , G06Q30/0201
摘要： A price for use of a digital asset in a set of digital assets is determined. The set of digital assets stored in a digital asset repository. A time slot during which the digital asset is available for use is determined. The digital asset is leased out at the price and during the time slot, the leasing allowing use of the digital asset during the time slot in return for payment of the price. the leased digital asset is integrated with a set of base characteristics of a virtualized user. The integrated leased digital asset is presented in a virtual environment during the time slot.
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公开(公告)号：US20230385682A1
公开(公告)日：2023-11-30
申请号：US17825614
申请日：2022-05-26
摘要： A method of generating a classical model to simulate a quantum computational model includes 1) inputting into a quantum computational model a dataset, the quantum computational model being implemented on a quantum computer, 2) computing output results with the quantum computational model using the quantum computer, 3) introducing a variation to at least a portion of the dataset into the quantum computer, 4) computing updated output results of the quantum computational model based on the variation of the at least the portion of the dataset using the quantum computer, and 5) generating a classical twin model of the quantum computational model based on a relationship of the output results and updated output results to the dataset from the quantum computational model.
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