公开(公告)号：US20240362962A1

公开(公告)日：2024-10-31

申请号：US18597010

申请日：2024-03-06

Applicant: RemoteLock Inc.

Inventor： Nolan Mondrow ,  Robert Goff ,  Eric Carlson

IPC: G07C9/00 ,  G06F1/28 ,  G06N5/02 ,  H04W12/06

CPC classification number: G07C9/00563 ,  G06F1/28 ,  G06N5/02 ,  H04W12/06

Abstract: A method for operating an access control device having a processor, a memory, and an internet connection comprises receiving a credential from a user; checking, by comparing the credential to matching credential information that would indicate the user is authorized to enter stored in the memory of the access control device, if no matching credential information that indicates the user is authorized is found in the memory of the access control device, then checking, at a remote cloud server, a list of buffered credential information for the matching credential information that indicates the user is authorized, and if the matching credential information that indicates the user is authorized is found, sending an unlock signal from the remote cloud server to the access control device.

公开(公告)号：US20240362499A1

公开(公告)日：2024-10-31

申请号：US18649439

申请日：2024-04-29

Applicant: Lexie Systems, Inc.

Inventor： Maysam Lavasani

IPC: G06N5/02

CPC classification number: G06N5/02

Abstract: For one embodiment of the present disclosure, a knowledge anchored artificial intelligence (KAAI) system and method are disclosed herein. A computer implemented method includes receiving a query to KAAI system; creating the necessary actions to respond to the query using a KAAI tree (literally by traversing the KAAI tree) to create the chain of thoughts and also make sure that the actions are anchored using existing knowledge graph in the system;maintaining a KV memory called session which will be preserved and changed while processing the query and traversing the tree; At each node in the tree execute Compute Agent logic i. Get data from the backend ii. Call into API iii. Run data transformations; b. May further interact with the user through UI; c. May amend the tree if needed; d. Update the context memory (session) e. Update the values in the tree.

公开(公告)号：US12131238B2

公开(公告)日：2024-10-29

申请号：US18045940

申请日：2022-10-12

Applicant: Georgia Tech Research Corporation

Inventor： Hadi Esmaeilzadeh ,  Divya Mahajan ,  Joon Kyung Kim

IPC: G06N20/00 ,  G06F9/50 ,  G06F16/242 ,  G06F16/901 ,  G06N5/02

CPC classification number: G06N20/00 ,  G06F9/5011 ,  G06F9/5038 ,  G06F16/2448 ,  G06F16/9024 ,  G06N5/02

Abstract: A method for database management that includes receiving an algorithm from a user. Based on the algorithm, a hierarchical dataflow graph (hDFG) may be generated. The method may further include generating an architecture for a chip based on the hDFG. The architecture for a chip may retrieve a data table from a database. The data table may be associated with the architecture for a chip. Finally, the algorithm may be executed against the data table, such that an action included in the algorithm is performed.

公开(公告)号：US12118980B2

公开(公告)日：2024-10-15

申请号：US18346657

申请日：2023-07-03

Applicant: Telepathy Labs, Inc.

Inventor： Martin Reber ,  Vijeta Avijeet

IPC: G10L25/30 ,  G06F18/10 ,  G06F18/21 ,  G06F18/2135 ,  G06N3/02 ,  G06N3/042 ,  G06N3/08 ,  G06N5/02 ,  G10L13/04 ,  G10L13/08 ,  G10L19/00

CPC classification number: G10L13/08 ,  G06F18/10 ,  G06F18/2135 ,  G06F18/217 ,  G06N3/02 ,  G06N3/042 ,  G06N3/08 ,  G06N5/02 ,  G10L13/04 ,  G10L19/00

Abstract: A technique improves training and speech quality of a text-to-speech (TTS) system having an artificial intelligence, such as a neural network. The TTS system is organized as a front-end subsystem and a back-end subsystem. The front-end subsystem is configured to provide analysis and conversion of text into input vectors, each having at least a base frequency, f0, a phenome duration, and a phoneme sequence that is processed by a signal generation unit of the back-end subsystem. The signal generation unit includes the neural network interacting with a pre-existing knowledgebase of phenomes to generate audible speech from the input vectors. The technique applies an error signal from the neural network to correct imperfections of the pre-existing knowledgebase of phenomes to generate audible speech signals. A back-end training system is configured to train the signal generation unit by applying psychoacoustic principles to improve quality of the generated audible speech signal.

公开(公告)号：US12118473B2

公开(公告)日：2024-10-15

申请号：US16208029

申请日：2018-12-03

Applicant: Clover Health

Inventor： Ian Blumenfeld ,  Brian Johnson

IPC: G06N5/02 ,  G06F16/23 ,  G06F16/25 ,  G06N5/025 ,  G06N7/01

CPC classification number: G06N5/02 ,  G06F16/2379 ,  G06F16/252 ,  G06N5/025 ,  G06N7/01

Abstract: Systems and methods for statistically-representative sample data generation are disclosed. For example, a sample-data generator and/or a data discriminator may be received by a system, which may utilize the sample-data generator to generate sample data. The data discriminator may be utilized to train the sample-data generator until the data discriminator cannot discriminate between data received from the sample-data generator and data received by a database associated with the system. The trained sample-data generator may be sent to other systems, which may generate and utilize, such as for prediction model training, statistically-representative sample data generated by the trained sample-data generator.

公开(公告)号：US12118319B2

公开(公告)日：2024-10-15

申请号：US17655772

申请日：2022-03-21

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Jun Xu ,  Zeming Liu ,  Zeyang Lei ,  Zhengyu Niu ,  Hua Wu ,  Haifeng Wang

IPC: G06F40/35 ,  G06F40/56 ,  G06N5/02

CPC classification number: G06F40/35 ,  G06F40/56 ,  G06N5/02

Abstract: The present disclosure provides a dialog method and system, an electronic device and a storage medium, and relates to the field of artificial intelligence (AI) technologies such as deep learning and natural language processing. A specific implementation scheme involves: rewriting a corresponding dialog state based on received dialog information of a user; determining to-be-used dialog action information based on the dialog information of the user and the dialog state; and generating a reply statement based on the dialog information of the user and the dialog action information. According to the present disclosure, the to-be-used dialog action information can be determined based on the dialog information of the user and the dialog state; and then the reply statement is generated based on the dialog action information, thereby providing an efficient dialog scheme.

公开(公告)号：US20240338710A1

公开(公告)日：2024-10-10

申请号：US18627104

申请日：2024-04-04

Applicant: GLADLY SOFTWARE INC.

Inventor： Theodore Mico ,  Evan Gregory Tann ,  Michael Block ,  Zachi Cohen ,  Yueyang Li ,  Gerad Suyderhoud

IPC: G06Q30/015 ,  G06N5/02

CPC classification number: G06Q30/015 ,  G06N5/02

Abstract: A computer-performed method, which may be performed by a chatbot server, is for customer assistance using AI-generated smart indicators. A request for customer assistance from a user is received through a dynamic chatbot. User intent and context information is determined, based on the received request. User intent and context information is mapped, as contextual data, relative to indicators that are suitable for display in a user interface. An AI-based configurator sets up for display, at least one relevant smart indicator, based on the mapped contextual data. A user interface featuring at least one relevant smart indicator is generated for display, to provide customer assistance based on the AI-based configurator set up smart indicator(s).

公开(公告)号：US20240331425A1

公开(公告)日：2024-10-03

申请号：US18460680

申请日：2023-09-04

Applicant: ZHEJIANG LAB

Inventor： Yao QI ,  Hongyang CHEN ,  Jingsong LV ,  Wentao YANG

IPC: G06V30/19 ,  G06N5/02

CPC classification number: G06V30/19187 ,  G06N5/02 ,  G06V30/19173

Abstract: A method, a device, computer equipment and a storage medium for identify an illegal commodity. The method comprises: firstly, constructing a multi-modal knowledge graph according to a multi-modal knowledge graph data set, and extracting visual features of all visual modality entities and text features of all text modality entities in the knowledge graph; then obtaining a commodity image and a commodity text according to a database; then, generating commodity visual feature according to the commodity image; then generating the commodity text feature according to the commodity text; secondly, according to the visual features and text features, as well as the commodity visual feature and the commodity text feature, linking the commodity image and the commodity text to the knowledge graph by using an entity linking method; finally, obtaining the correlation between the commodity image and the commodity text according to the linked knowledge graph to determine the illegality of the commodity.

公开(公告)号：US20240330712A1

公开(公告)日：2024-10-03

申请号：US18740960

申请日：2024-06-12

Applicant: Visa International Service Association

Inventor： Liang Wang ,  Xiaobo Dong ,  Robert Christensen ,  Liang Gou ,  Wei Zhang ,  Hao Yang

IPC: G06N5/02 ,  G06N3/045 ,  G06N3/08 ,  G06Q30/018

CPC classification number: G06N5/02 ,  G06N3/045 ,  G06N3/08 ,  G06Q30/0185

Abstract: A system, method, and computer program product for incorporating knowledge from more complex models in simpler models. A method may include obtaining first training data associated with a first set of features and second training data associated with a second set of features different than the first set of features; training a first model based on the first training data and the second training data; and training a second model, using a loss function that depends on an output of an intermediate layer of the first model and an output of the second model, based on the second training data.

公开(公告)号：US20240330711A1

公开(公告)日：2024-10-03

申请号：US18699231

申请日：2022-06-30

Applicant: SUZHOU METABRAIN INTELLIGENT TECHNOLOGY CO., LTD.

Inventor： Zhenhua GUO ,  Li WANG ,  Yaqian ZHAO ,  Rengang LI ,  Baoyu FAN ,  Xiangyi DENG

IPC: G06N5/02

CPC classification number: G06N5/02

Abstract: Embodiments of the present application disclose a natural language processing method and apparatus, a device, and a readable storage medium. The method includes: obtaining a target sentence to be processed, and determining each first entity in the target sentence; for each first entity, in response to the first entity being present in a preset entity set, determining, in the preset entity set, a second entity in maximum correlation with the first entity, generating extended information based on the determined second entity, and adding the extended information after a location of the first entity in the target sentence, to obtain an updated target sentence, where the second entity is any entity in the preset entity set other than the first entity; and inputting the updated target sentence to a bidirectional encoder representations from transformer (BERT) model, such that the BERT model performs a natural language processing task.