公开(公告)号：US11804143B1

公开(公告)日：2023-10-31

申请号：US17233913

申请日：2021-04-19

申请人： MASSACHUSETTS MUTUAL LIFE INSURANCE COMPANY

发明人： Damon Ryan DePaolo ,  Payton A. Shubrick ,  Emilia Daniela Holban ,  Jiby John ,  Gerald Lee ,  Deepak Jagasia ,  Cheri Kevane

IPC分类号： G06F16/33 ,  G09B5/06 ,  G06F16/335 ,  G06F18/2415 ,  G06N3/08 ,  G06N20/00 ,  G06F18/2134

CPC分类号： G09B5/06 ,  G06F16/337 ,  G06F18/24155 ,  G06F18/21342 ,  G06N3/08 ,  G06N20/00

摘要： Disclosed herein are systems and methods of artificial intelligence learning systems. In some embodiments the artificial intelligence system presents options to users based on their life stage and personality profile. Family or group structures may be created within an application. Options may be created and presented based on the family structure such as chores may be assigned to children, money may be transferred between family members, and scores may be assigned to different users.

公开(公告)号：US20230333198A1

公开(公告)日：2023-10-19

申请号：US18212033

申请日：2023-06-20

申请人： PHY Wireless, LLC

发明人： Steven C. Thompson ,  Raphael Mall ,  Neal Riedel ,  Steven J. Caliguri ,  Zane Rau

IPC分类号： G01S5/02 ,  G01C21/00 ,  H04B17/327 ,  H04W64/00 ,  G06F18/2415 ,  G06F18/2134

CPC分类号： G01S5/0246 ,  G01S5/0244 ,  G01S5/02524 ,  G01C21/3815 ,  G01S5/0236 ,  G01S5/0257 ,  H04B17/327 ,  G01S5/0284 ,  H04W64/003 ,  G06F18/2415 ,  G06F18/21342

摘要： This disclosure provides systems, methods and apparatuses for classifying traffic flow using a plurality of learning machines arranged in multiple hierarchical levels. A first learning machine may classify a first portion of the input stream as malicious based on a match with first classification rules, and a second learning machine may classify at least part of the first portion of the input stream as malicious based on a match with second classification rules. The at least part of the first portion of the input stream may be classified as malicious based on the matches in the first and second learning machines.

公开(公告)号：US11952121B2

公开(公告)日：2024-04-09

申请号：US17350965

申请日：2021-06-17

申请人： B/E Aerospace, Inc.

发明人： Sanjay Bajekal

IPC分类号： B64D11/02 ,  G06F18/2134 ,  H04L67/125

CPC分类号： B64D11/02 ,  G06F18/21342 ,  H04L67/125

摘要： A method may comprise receiving, via a processor, a first indication that an object is in a first zone of interest of a first sensor in the plurality of sensors; receiving, via the processor, a second indication that the object is in a second zone of interest of a second sensor in the plurality of sensors; and determining, via the processor, whether the first sensor or the second sensor is falsely detecting the object within the respective zone of interest.

公开(公告)号：US11733342B2

公开(公告)日：2023-08-22

申请号：US17380989

申请日：2021-07-20

申请人： PHY Wireless, LLC

发明人： Steven C. Thompson ,  Raphael Mall ,  Neal Riedel ,  Steven J. Caliguri ,  Zane Rau

IPC分类号： G01S5/02 ,  H04B17/327 ,  H04W64/00 ,  G01C21/00 ,  G06F18/2415 ,  G06F18/2134

CPC分类号： G01S5/0246 ,  G01C21/3815 ,  G01S5/0236 ,  G01S5/0244 ,  G01S5/0257 ,  G01S5/0284 ,  G01S5/02524 ,  G06F18/21342 ,  G06F18/2415 ,  H04B17/327 ,  H04W64/003

摘要： A method for estimating position of a mobile device which includes receiving, from a network server, observed time difference of arrival (OTDOA) assistance data for a first plurality of cells from a base station almanac (BSA) accessible to the network server. The OTDOA assistance data is stored, within a memory of the mobile device, as a first micro-BSA. A position estimate for the mobile device is determined based upon time difference of arrival (TDOA) measurements associated with an initial subset of the first plurality of cells and initial OTDOA assistance data corresponding to the initial subset of the first plurality of cells. The initial OTDOA assistance data may be generated by the micro-BSA based upon an initial seed estimate.

公开(公告)号：US12099572B2

公开(公告)日：2024-09-24

申请号：US17224082

申请日：2021-04-06

申请人： Technext Inc.

发明人： Anuraag Singh ,  Christopher L. Magee

IPC分类号： G06F16/00 ,  G06F16/903 ,  G06F18/2134 ,  G06F18/22 ,  G06F18/2413

CPC分类号： G06F18/21342 ,  G06F16/903 ,  G06F18/22 ,  G06F18/24137 ,  G06F2216/11

摘要： Systems and methods for predicting yearly performance improvement rates for nearly all definable technologies for the first time are provided. In one embodiment, a correspondence of all patents within the U.S. patent system to a set of technology domains is created. From the identified patent sets, the invention may calculate average centrality of the patents in each domain to predict improvement rates, following a patent network-based methodology. Also disclosed is a system to intake a user technology search query and match user intent with the technology domain as well as the corresponding improvement rate.

公开(公告)号：US11880764B2

公开(公告)日：2024-01-23

申请号：US16948574

申请日：2020-09-23

申请人： Vectra AI, Inc.

发明人： Sohrob Kazerounian ,  Daniel Carlton Hannah ,  Tuomas P. Oikarinen

IPC分类号： G06N3/08 ,  H04L9/40 ,  G06F18/2134 ,  G06N3/045

CPC分类号： G06N3/08 ,  G06F18/21342 ,  G06N3/045 ,  H04L63/1416 ,  H04L63/1425 ,  H04L63/1483

摘要： Disclosed is an approach for detecting malicious network activity (e.g. based on a data hoarding activity identifies using a graph mixture density neural network (GraphMDN)). Generally, the approach includes generating embeddings using a graph convolution process and then processing the embeddings using a mixture density neural network. The approach may include collecting network activity data, generating a graph representing the network activity, or an aggregation thereof that maintains the inherent graphical nature and characteristics of the data, and training a GraphMDN in order to generate pluralities of distributions characterizing one or more aspects of the graph representing the network activity. The approach may also include capturing new network activity data, and evaluating that data using the distributions generated by the trained GraphMDN, and generation corresponding detection results.

公开(公告)号：US11694707B2

公开(公告)日：2023-07-04

申请号：US17215501

申请日：2021-03-29

申请人： INDUSTRY-UNIVERSITY COOPERATION FOUNDATION SOGANG UNIVERSITY

发明人： Hyung Min Park ,  Uihyeop Shin

IPC分类号： G10L21/0272 ,  G10L21/0308 ,  G10L15/20 ,  G10L21/0216 ,  G06F18/2134 ,  G10L21/0208

CPC分类号： G10L21/0272 ,  G06F18/21342 ,  G10L15/20 ,  G10L21/0208 ,  G10L21/0216 ,  G10L21/0308

摘要： A target speech signal extraction method for robust speech recognition includes: initializing a steering vector for a target speech source and an adaptive vector, setting a real output channel of the target speech source as an output by the adaptive vector, initializing adaptive vectors for a noise and setting a dummy channel as an output by the adaptive vectors for the noise; setting a cost function for minimizing dependency between a real output for the target speech source and a dummy output for the noise; setting an auxiliary function to the cost function, and updating the adaptive vector for the target speech source and the adaptive vectors for the noise by using the auxiliary function and the steering vector; estimating the target speech signal by using the adaptive vector thereby extracting the target speech signal from the input signals; and updating the steering vector for the target speech source.