公开(公告)号：US12112478B2

公开(公告)日：2024-10-08

申请号：US18544662

申请日：2023-12-19

申请人： Blaize, Inc.

发明人： Deepak Chandra Bijalwan ,  Dinakar C. Munagala

IPC分类号： G06K9/00 ,  G06F18/21 ,  G06F18/214 ,  G06N3/08 ,  G06T5/70 ,  G06T7/00 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G16H30/40 ,  G16H50/20

CPC分类号： G06T7/0012 ,  G06F18/214 ,  G06F18/2163 ,  G06F18/217 ,  G06N3/08 ,  G06T5/70 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10116 ,  G06T2207/20081 ,  G06T2207/20084

摘要： Systems and methods are disclosed for predicting one or more medical conditions utilizing digital images and employing artificial intelligent algorithms. The system offers accurate predictions utilizing quantized pre-trained deep learning model. The pre-trained deep learning model is trained on data samples and later refined as the system processes more digital images or new medical conditions are incorporated. One pre-trained deep learning model is used to predict the probability of one or more medical conditions and identify locations in the digital image effected by the one or more medical conditions. Further, one pre-trained deep learning model utilizing additional data and plurality of digital images, forecasts rate of infection and spread of the medical condition over time.

公开(公告)号：US12112262B2

公开(公告)日：2024-10-08

申请号：US17092782

申请日：2020-11-09

申请人： Pusan National University Industry-University Cooperation Foundation

发明人： Giltae Song ,  Seonghyeon Kim

IPC分类号： G06N3/08 ,  G06F18/10 ,  G06F18/21 ,  G06F18/214 ,  G06N3/044 ,  G06V10/764 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G06V20/00 ,  G06V20/52

CPC分类号： G06N3/08 ,  G06F18/10 ,  G06F18/214 ,  G06F18/217 ,  G06N3/044 ,  G06V10/764 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G06V20/36 ,  G06V20/52

摘要： Disclosed are a method and apparatus for predicting a change in the occupants within a large exhibition hall in real time based on deep learning. A proposed method of predicting a change in the number of occupants within a space in real time includes dividing, into zones, a space where a number of occupants is to be predicted and pre-processing data related to a number of occupants within the space collected through simulations, generating the pre-processed data in a form of time-series data for deep learning, training a deep learning model for predicting a number of occupants in each divided zone using the generated time-series data, and predicting the number of occupants within the space by inputting, to the trained model, the data related to a number of occupants within the space collected in real time through socket communication with a server.

公开(公告)号：US12105845B2

公开(公告)日：2024-10-01

申请号：US17090943

申请日：2020-11-06

申请人： SECURITI, Inc.

发明人： Michael Busha ,  Jiachen Mao ,  Michael Rinehart ,  Rehan Jalil

IPC分类号： G06F21/62 ,  G06F16/75 ,  G06F17/18 ,  G06F18/15 ,  G06F18/21 ,  G06F21/60 ,  G06Q50/00 ,  G06Q50/16

CPC分类号： G06F21/6254 ,  G06F16/75 ,  G06F17/18 ,  G06F18/21 ,  G06F21/602 ,  G06Q50/01 ,  G06Q50/16 ,  G06F18/15

摘要： A system and a method for entity resolution is disclosed. An entity reference parsing subsystem to parse one or more entity references of a corresponding seed set of entity into corresponding one or more personal data properties and property values. A property value standardization subsystem performs one or more standardization operations for standardization of the corresponding one or more property values. A property value anonymization subsystem secures the one or more property values by performing one or more anonymization procedures. A property strength quantification subsystem identifies at least one additional property suspected to belong to the seed set of the entity, assigns a property strength score to the at least one additional property, adds the at least one additional property to the corresponding seed set of entity. A local entity resolution and a global entity resolution subsystem performs a first and a second entity resolution process respectively.

公开(公告)号：US20240320267A1

公开(公告)日：2024-09-26

申请号：US18673114

申请日：2024-05-23

申请人： Splunk Inc.

发明人： Ram Sriharsha

IPC分类号： G06F16/901 ,  G06F9/38 ,  G06F9/54 ,  G06F16/14 ,  G06F16/16 ,  G06F16/22 ,  G06F16/23 ,  G06F16/242 ,  G06F16/2453 ,  G06F16/2455 ,  G06F16/2458 ,  G06F16/28 ,  G06F17/16 ,  G06F17/18 ,  G06F18/21 ,  G06F18/214 ,  G06N20/00 ,  G06N20/20

CPC分类号： G06F16/901 ,  G06F9/3885 ,  G06F9/544 ,  G06F16/144 ,  G06F16/156 ,  G06F16/168 ,  G06F16/2246 ,  G06F16/23 ,  G06F16/2379 ,  G06F16/242 ,  G06F16/24534 ,  G06F16/24568 ,  G06F16/2465 ,  G06F16/285 ,  G06F17/16 ,  G06F17/18 ,  G06F18/2148 ,  G06F18/2185 ,  G06N20/00 ,  G06N20/20 ,  G06F16/22 ,  G06F16/2264 ,  G06F16/2282

摘要： Systems and methods are described for processing ingested data, detecting anomalies in the ingested data, and providing explanations of a possible cause of the detected anomalies as the data is being ingested. For example, a token or field in the ingested data may have an anomalous value. Tokens or fields from another portion of the ingested data can be extracted and analyzed to determine whether there is any correlation between the values of the extracted tokens or fields and the anomalous token or field having an anomalous value. If a correlation is detected, this information can be surfaced to a user.

公开(公告)号：US12100030B2

公开(公告)日：2024-09-24

申请号：US17285805

申请日：2019-08-23

申请人： Beijing Jingdong Shangke Information Technology Co., Ltd. ,  Beijing Jingdong Century Trading Co., Ltd.

发明人： Zhen Zhang

IPC分类号： G06Q30/0601 ,  G06F18/21 ,  G06F18/214 ,  G06F18/22 ,  G06F18/24 ,  G06N3/044 ,  G06N3/08 ,  G06T7/40 ,  G06V10/74 ,  G06V10/774 ,  G06V10/82 ,  G06V20/30

CPC分类号： G06Q30/0601 ,  G06F18/214 ,  G06F18/2193 ,  G06F18/22 ,  G06F18/24 ,  G06N3/044 ,  G06N3/08 ,  G06Q30/0643 ,  G06T7/40 ,  G06V10/761 ,  G06V10/774 ,  G06V10/82 ,  G06V20/30 ,  G06Q30/0623 ,  G06T2207/20084

摘要： Disclosed in embodiments of the present application are an information presentation method and device. One specific embodiment of a system comprises: receiving a collocation request for performing clothing collocation on target clothing, the collocation request comprising a target clothing image; performing feature extraction on the target clothing image to obtain a feature vector of the target clothing image; and selecting, from a preset clothing information set on the basis of the feature vector of the target clothing image, a clothing image having a feature vector matching the feature vector of the target clothing image to form at least one group of clothing collocation images together with the target clothing image, wherein the clothing information set comprises clothing images and feature vectors of the clothing images. The embodiment improves clothing collocation effects.

公开(公告)号：US12094885B2

公开(公告)日：2024-09-17

申请号：US17209063

申请日：2021-03-22

申请人： Samsung Display Co., Ltd.

发明人： Min Soo Kim

IPC分类号： G10L13/04 ,  G06F3/041 ,  G06F3/044 ,  G06F18/10 ,  G06F18/21 ,  G06F18/2135 ,  G06N3/02 ,  G06N3/04 ,  G06N3/042 ,  G06N3/08 ,  G06N5/02 ,  G10L13/08 ,  G10L19/00 ,  H01L27/12 ,  H05K1/02 ,  H05K1/14 ,  G02F1/1345 ,  H10K59/131 ,  H10K77/10

CPC分类号： H01L27/124 ,  G06F3/0412 ,  G06F3/0446 ,  G06F18/10 ,  G06F18/2135 ,  G06F18/217 ,  G06N3/02 ,  G06N3/042 ,  G06N3/08 ,  G06N5/02 ,  G10L13/04 ,  G10L13/08 ,  G10L19/00 ,  H01L27/1218 ,  H05K1/028 ,  H05K1/147 ,  G02F1/13452 ,  G02F2201/56 ,  G06F2203/04102 ,  H05K2201/056 ,  H05K2201/10128 ,  H05K2201/10136 ,  H10K59/131 ,  H10K77/10

摘要： A display device includes: a display panel having a first side and a second side facing the first side in a first direction, the display panel including a recessed portion having a recessed shape from the first side of the display panel toward the second side in the first direction, the recessed portion including a side extended from the first side of the display panel; a pad portion disposed on a front surface of the display panel, the pad portion being adjacent to at least one side of the recessed portion; and a flexible printed circuit (FPC) connected to the pad portion, the FPC being bent to a rear surface of the display panel around the at least one side of the recessed portion, the rear surface opposing the front surface.

公开(公告)号：US12093319B2

公开(公告)日：2024-09-17

申请号：US17249522

申请日：2021-03-04

申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION

发明人： Piotr Kalandyk ,  Grzegorz Piotr Szczepanik ,  Hubert Kompanowski ,  Agnieszka Tkaczyk-Walczak

IPC分类号： G06F16/9032 ,  G06F16/906 ,  G06F16/908 ,  G06F18/21

CPC分类号： G06F16/90332 ,  G06F16/906 ,  G06F16/908 ,  G06F18/217

摘要： A computer-implemented method, computer system, and computer program product for measuring a quality of a chatbot response. The present invention may include receiving one or more classifications, receiving a set of questions in a chatbot to be analyzed, filtering any question from the received set of questions that is not related to an area of expertise of the chatbot, matching at least two questions from the received set of questions to each other, and applying at least one of the one or more classifications to the at least two matched questions. The one or more classifications may be based on a similarity of words and synonyms used in the at least two matched questions. The one or more classifications may be based on a similarity of intents of the at least two matched questions.

公开(公告)号：US12093023B2

公开(公告)日：2024-09-17

申请号：US16181253

申请日：2018-11-05

申请人： R4N63R Capital LLC

发明人： Prasad Narasimha Akella

IPC分类号： G06Q10/06 ,  G05B19/418 ,  G06F9/448 ,  G06F9/48 ,  G06F11/07 ,  G06F11/34 ,  G06F16/22 ,  G06F16/23 ,  G06F16/2455 ,  G06F16/901 ,  G06F16/9035 ,  G06F16/904 ,  G06F30/20 ,  G06F30/23 ,  G06F30/27 ,  G06N3/008 ,  G06N3/04 ,  G06N3/044 ,  G06N3/045 ,  G06N3/08 ,  G06N3/084 ,  G06N7/01 ,  G06N20/00 ,  G06Q10/0631 ,  G06Q10/0639 ,  G06T19/00 ,  G06V10/25 ,  G06V10/44 ,  G06V10/82 ,  G06V20/52 ,  G06V40/20 ,  G09B19/00 ,  B25J9/16 ,  G01M99/00 ,  G05B19/423 ,  G05B23/02 ,  G06F18/21 ,  G06F111/10 ,  G06F111/20 ,  G06N3/006 ,  G06Q10/083 ,  G06Q50/26 ,  G16H10/60

CPC分类号： G05B19/4183 ,  G05B19/41835 ,  G06F9/4498 ,  G06F9/4881 ,  G06F11/0721 ,  G06F11/079 ,  G06F11/3452 ,  G06F16/2228 ,  G06F16/2365 ,  G06F16/24568 ,  G06F16/9024 ,  G06F16/9035 ,  G06F16/904 ,  G06F30/20 ,  G06F30/23 ,  G06F30/27 ,  G06N3/008 ,  G06N3/04 ,  G06N3/044 ,  G06N3/045 ,  G06N3/08 ,  G06N3/084 ,  G06N7/01 ,  G06N20/00 ,  G06Q10/06 ,  G06Q10/063112 ,  G06Q10/06316 ,  G06Q10/06393 ,  G06Q10/06395 ,  G06Q10/06398 ,  G06T19/006 ,  G06V10/25 ,  G06V10/454 ,  G06V10/82 ,  G06V20/52 ,  G06V40/20 ,  G09B19/00 ,  B25J9/1664 ,  B25J9/1697 ,  G01M99/005 ,  G05B19/41865 ,  G05B19/423 ,  G05B23/0224 ,  G05B2219/32056 ,  G05B2219/36442 ,  G06F18/217 ,  G06F2111/10 ,  G06F2111/20 ,  G06N3/006 ,  G06Q10/083 ,  G06Q50/26 ,  G16H10/60

摘要： Workspace coordination systems and methods are presented. A method can comprise: accessing in real time respective information associated with a first actor and a second actor, including sensed activity information; analyzing the information, including analyzing activity of the first actor with respect to a second actor; and forwarding respective feedback based on the results of the analysis. The feedback can includes an individual objective specific to one of either the first actor or the second actor. The feedback includes collective objective with respect to the first actor or the second actor. The analyzing can include automated artificial intelligence analysis. Sensed activity information can be associated with a grid within the activity space. It is appreciated there can be various combinations of actors (e.g., human and device, device and device, human and human, etc.). The feedback can be a configuration layout suggestion. The feedback can be a suggested assignment of a type of actor to an activity.

公开(公告)号：US20240303299A1

公开(公告)日：2024-09-12

申请号：US18652226

申请日：2024-05-01

申请人： COSMO ARTIFICIAL INTELLIGENCE – AI LIMITED

发明人： NHAN NGO DINH ,  GIULIO EVANGELISTI ,  FLAVIO NAVARI

IPC分类号： G06F18/2413 ,  A61B1/00 ,  A61B1/273 ,  A61B1/31 ,  G06F18/21 ,  G06F18/214 ,  G06F18/40 ,  G06N3/045 ,  G06N3/08 ,  G06N3/088 ,  G06T7/00 ,  G16H30/40 ,  G16H50/20

CPC分类号： G06F18/2413 ,  A61B1/000096 ,  A61B1/273 ,  A61B1/2736 ,  A61B1/31 ,  G06F18/214 ,  G06F18/2148 ,  G06F18/217 ,  G06F18/41 ,  G06N3/045 ,  G06N3/08 ,  G06N3/088 ,  G06T7/0012 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10016 ,  G06T2207/10068 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30032 ,  G06T2207/30096 ,  G06V2201/032

摘要： The present disclosure relates to computer-implemented systems and methods for training and using generative adversarial networks. In one implementation, a system for training a generative adversarial network may include at least one processor that may provide a first plurality of images including representations of a feature-of-interest and indicators of locations of the feature-of-interest and use the first plurality and indicators to train an object detection network. Further, the processor(s) may provide a second plurality of images including representation of the feature-of-interest, and apply the trained object detection network to the second plurality to produce a plurality of detections of the feature-of-interest. Additionally, the processor(s) may provide manually set verifications of true positives and false positives with respect to the plurality of detections, use the verifications tr train a generative adversarial network, and retrain the generative adversarial network using at least one further set of images, further detections, and further manually set verifications.

公开(公告)号：US12086712B2

公开(公告)日：2024-09-10

申请号：US17512463

申请日：2021-10-27

申请人： Korea Electronics Technology Institute

发明人： Choong Sang Cho ,  Young Han Lee

IPC分类号： G06T7/11 ,  G06F18/21 ,  G06N3/045 ,  G06N3/08 ,  G06V10/75

CPC分类号： G06N3/08 ,  G06F18/2163 ,  G06F18/217 ,  G06N3/045 ,  G06T7/11 ,  G06V10/751 ,  G06T2207/20081 ,  G06T2207/20084

摘要： There are provided a method and a system for image segmentation utilizing a GAN architecture. A method for training an image segmentation network according to an embodiment includes: inputting an image to a first network which is trained to output a region segmentation result regarding an input image, and generating a region segmentation result; and inputting the region segmentation result generated at the generation step and a ground truth (GT) to a second network, and acquiring a discrimination result, the second network being trained to discriminate inputted region segmentation results as a result generated by the first network and a GT, respectively; and training the first network and the second network by using the discrimination result. Accordingly, region segmentation performance of a semantic segmentation network regarding various images can be enhanced, and a very small image region can be exactly segmented.