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公开(公告)号：US11966340B2
公开(公告)日：2024-04-23
申请号：US17654965
申请日：2022-03-15
发明人： Long Vu , Bei Chen , Xuan-Hong Dang , Peter Daniel Kirchner , Syed Yousaf Shah , Dhavalkumar C. Patel , Si Er Han , Ji Hui Yang , Jun Wang , Jing James Xu , Dakuo Wang , Gregory Bramble , Horst Cornelius Samulowitz , Saket K. Sathe , Wesley M. Gifford , Petros Zerfos
IPC分类号： G06F12/0871 , G06N20/00
CPC分类号： G06F12/0871 , G06N20/00 , G06F2212/604
摘要： To automate time series forecasting machine learning pipeline generation, a data allocation size of time series data may be determined based on one or more characteristics of a time series data set. The time series data may be allocated for use by candidate machine learning pipelines based on the data allocation size. Features for the time series data may be determined and cached by the candidate machine learning pipelines. Predictions of each of the candidate machine learning pipelines using at least the one or more features may be evaluated. A ranked list of machine learning pipelines may be automatically generated from the candidate machine learning pipelines for time series forecasting based upon evaluating predictions of each of the one or more candidate machine learning pipelines.
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公开(公告)号：US11802537B2
公开(公告)日：2023-10-31
申请号：US16102616
申请日：2018-08-13
发明人： Fearghal O'Donncha , Bei Chen , Sean A. McKenna
CPC分类号： F03B15/00 , F03B13/14 , G05B13/027
摘要： Embodiments for managing a wave energy converter (WEC) device by one or more processors are described. At least one environmental characteristic associated with a WEC device in a body of water is received. A prediction of wave conditions on the body of water is calculated based on the at least one environmental characteristic. A signal representative of the prediction of wave conditions is generated.
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公开(公告)号：US11669757B2
公开(公告)日：2023-06-06
申请号：US16262464
申请日：2019-01-30
发明人： Adi Botea , Beat Buesser , Akihiro Kishimoto , Bei Chen
CPC分类号： G06N5/048 , G01R19/2513 , G01R21/133 , G06F30/20 , G06N20/00
摘要： Embodiments for detection of energy consumption anomalies in one or more energy consumption systems in a cloud computing environment by a processor. Energy consumption anomalies associated with a selected facility, a selected object, or a combination thereof may be detected and diagnosed according to feedback and simulation data generated from a scenario-based simulation operation.
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公开(公告)号：US20230169410A1
公开(公告)日：2023-06-01
申请号：US17456699
申请日：2021-11-29
发明人： Anton Dekusar , Bei Chen , Claudio Gambella , Martin Mevissen
IPC分类号： G06Q10/02
CPC分类号： G06Q10/02 , G06Q2240/00
摘要： An embodiment for dynamically assigning vehicle parking is provided. The embodiment may include receiving one or more preferences regarding parking. The embodiment may also include in response to determining a detector vehicle detects a vacant parking spot, creating a network of vehicles within a pre-defined threshold of the vacant parking spot. The embodiment may further include notifying each vehicle in the network about the vacant parking spot and receiving one or more requests for the vacant parking spot from one or more requestor vehicles. The embodiment may also include identifying real-time information associated with roads within the pre-defined threshold of the vacant parking spot. The embodiment may further include assigning the vacant parking spot to a particular requestor vehicle in the network of vehicles. The embodiment may also include displaying an indicator placed adjacent to the particular requestor vehicle that is assigned the vacant parking spot.
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公开(公告)号：US11625632B2
公开(公告)日：2023-04-11
申请号：US16851775
申请日：2020-04-17
发明人： Akihiro Kishimoto , Djallel Bouneffouf , Bei Chen , Radu Marinescu , Parikshit Ram , Ambrish Rwat , Martin Wistuba
摘要： Systems, computer-implemented methods, and computer program products to facilitate automated generation of a machine learning pipeline based on a pipeline grammar are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a pipeline structure generator component that generates a machine learning pipeline structure based on a pipeline grammar. The computer executable components can further comprise a pipeline optimizer component that selects one or more machine learning modules that achieve a defined objective to instantiate a machine learning pipeline based on the machine learning pipeline structure.
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公开(公告)号：US11620582B2
公开(公告)日：2023-04-04
申请号：US16942247
申请日：2020-07-29
发明人： Bei Chen , Long Vu , Syed Yousaf Shah , Xuan-Hong Dang , Peter Daniel Kirchner , Si Er Han , Ji Hui Yang , Jun Wang , Jing James Xu , Dakuo Wang , Dhavalkumar C. Patel , Gregory Bramble , Horst Cornelius Samulowitz , Saket Sathe , Chuang Gan
IPC分类号： G06N20/20
摘要： Techniques regarding one or more automated machine learning processes that analyze time series data are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a time series analysis component that selects a machine learning pipeline for meta transfer learning on time series data by sequentially allocating subsets of training data from the time series data amongst a plurality of machine learning pipeline candidates.
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公开(公告)号：US11620493B2
公开(公告)日：2023-04-04
申请号：US16594549
申请日：2019-10-07
发明人： Beat Buesser , Bei Chen , Kelsey Dipietro
摘要： Various embodiments are provided for intelligent selection of time series models by one or more processors in a computing system. Time series data may be received from a user, one or more computing devices, sensors, or a combination thereof. One or more optimal time series models may be selected upon using and/or evaluating one or more recurrent neural networks models that are trained or pre-trained using simulated time series data or historical time series data, or a combination thereof for one or more predictive analytical tasks relating to the received time series data.
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公开(公告)号：US11429839B2
公开(公告)日：2022-08-30
申请号：US16548804
申请日：2019-08-22
发明人： Beat Buesser , Adi I. Botea , Bei Chen , Akihiro Kishimoto
IPC分类号： G06N3/04 , G06N3/08 , H04N21/8541 , H04N21/442 , G06F16/735
摘要： A neural network has an input layer, one or more hidden layers, and an output layer. The input layer is divided into a situation context input sublayer, a background context input sublayer (in some embodiments), and an environmental input sublayer. The output layer has a selection/sequencing output sublayer and an environmental output sublayer. Each of the layers (including the sublayers) have a plurality of neurons and each of the neurons has an activation. Situation context, environmental information, and background context can be inputted into the neural network which create an output used to dynamically select and sequence selected storylines that are used to modify a story based on the sentiment, environment, and/or background of the audience.
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公开(公告)号：US11429652B2
公开(公告)日：2022-08-30
申请号：US16589234
申请日：2019-10-01
发明人： Oznur Alkan , Adi I. Botea , Bei Chen , Elizabeth Daly , Massimiliano Mattetti , Inge Lise Vejsbjerg
IPC分类号： G06F16/33 , G06F16/332
摘要： Aspects of the present disclosure relate to chat management to address queries. A query can be received. A determination can be made whether the query has already been answered by comparing the query to text within a chat database. In response to determining that the query has not been answered, a set of prospective experts can be identified. Each of the prospective experts of the set of prospective experts can be ranked based on at least one factor. The query can be transmitted to a first ranked expert. An answer to the query can then be received from the first ranked expert.
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公开(公告)号：US20220207392A1
公开(公告)日：2022-06-30
申请号：US17139214
申请日：2020-12-31
发明人： Yufang Hou , Akihiro Kishimoto , Beat Buesser , Bei Chen
IPC分类号： G06N5/04 , G06N20/00 , G06F40/279 , G10L15/22 , G10L15/26 , G06F40/186 , G06F40/174
摘要： A system receives messaging, video and/or audio input streams including dialogue spoken by users at a group meeting. From these inputs, the system obtains single or multiple interaction records including natural language text memorializing content spoken by each speaker at a meeting, analyzes the content, and identifies single or multiple action item tasks in the interaction records. The system then generates summaries indicating the action item tasks for the users. From the dialogue content, the system further detects whether each action item is addressed, and whether the action item for a user has a solution, or not. The system further detects whether one action item is a precondition for resolving another action item by the user or in conjunction with another user. Using a pre-configured template, the system generates action item summaries, any associated solution, and any relationship or precondition between action items and presents the summary to a user.
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