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1. 发明申请

US20230139578A1 PREDICTING AGENT TRAJECTORIES IN THE PRESENCE OF ACTIVE EMERGENCY VEHICLES 有权
公开(公告)号：US20230139578A1
公开(公告)日：2023-05-04
申请号：US17514766
申请日：2021-10-29
申请人： Waymo LLC
发明人： Aishwarya Parasuram , Alisha Saxena , Anoosha Sagar , Kai Ding , Stéphane Ross , Xin Liu
IPC分类号： B60W60/00 , G06K9/00 , G06K9/46 , B60W40/04 , B60W50/00 , G06N7/00
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that obtain scene features in an environment that includes an autonomous vehicle, a first target agent, and a second target agent, and determines whether the first target agent is an emergency vehicle that is active at a current time point. In response to determining that the first target agent is an emergency vehicle that is active at the current time point, an input is generated from the scene features. The input can characterize the scene and indicate that the first target agent is an emergency vehicle that is active at the current time point. Also in response, the input can be processed using a machine learning model that is configured to generate a trajectory prediction output for the second target agent that characterizes predicted future behavior of the second target agent after the current time point.

2. 发明申请

US20230139081A1 SYSTEMS AND METHODS FOR DETECTING CONNECTION ANOMALIES 有权
公开(公告)号：US20230139081A1
公开(公告)日：2023-05-04
申请号：US17518057
申请日：2021-11-03
申请人： Mellanox Technologies Ltd.
发明人： Tamar Viclizki , Vadim Gechman , Henning Lysdal , Shie Mannor
IPC分类号： G01R31/66 , G06N7/00
摘要： System and method for detecting cable anomalies including collecting a first set cable measurement data. The first set of cable measurement data may be used to create a model including one or more groups based on the collected first set of cable measurement data. Collecting a second set of cable measurement data and determine a probability of anomaly for cable measurement data of the second set of cable measurement data, the probability of anomaly based on the deviation of the cable measurement data from one or more groups of the model.

3. 发明申请

US20230135987A1 System and Method for Tracking an Expanded State of a Moving Object Using an Online Adapted Compound Measurement Model 有权
公开(公告)号：US20230135987A1
公开(公告)日：2023-05-04
申请号：US17452620
申请日：2021-10-28
申请人： Mitsubishi Electric Research Laboratories, Inc.
发明人： Pu Wang , Gang Yao , Karl Berntorp , Hassan Mansour , Petros Boufounos , Philip Orlik
IPC分类号： B60W40/04 , G06N7/00 , G06N20/00 , B60W50/06 , B60W60/00
摘要： A tracking system for tracking an expanded state of an object is provided. The tracking system executes, for a predetermined time period, a probabilistic filter that iteratively tracks a belief on the expanded state of the object, wherein the belief is predicted using a motion model of the object and is further updated using a compound measurement model of the object. After the predetermined time period, the updated beliefs are smoothed to generate a state-decoupled online batch of training data. The compound measurement model includes multiple probabilistic distributions constrained to lie around a contour of the object with a predetermined relative geometrical mapping to the center of the object. The compound measurement model is updated using the online batch of training data. Further, the tracking system tracks the expanded state of the object based on the updated compound measurement model.

4. 发明申请

US20230132818A1 RISK MANAGEMENT SYSTEM AND METHOD 有权
公开(公告)号：US20230132818A1
公开(公告)日：2023-05-04
申请号：US17971423
申请日：2022-10-21
申请人： Hitachi, Ltd.
发明人： Hiroaki SHIKANO , Hiroki MIYAMOTO , Hideya YOSHIUCHI
IPC分类号： G06F11/00 , G06N7/00
摘要： Risk element information indicating risk elements is acquired. An asset capable of becoming a fault due to a risk element indicated in the risk element information, and a fault probability that the asset becomes the fault are specified based on static configuration information. A risk model in which the asset capable of becoming the fault and the fault probability are associated is generated in advance. In response to a designated input, an one asset to be evaluated is specified as an evaluation target asset, based on the designated input. A risk model related to the evaluation target asset is specified. A risk evaluation value being an index indicating a risk of the evaluation target asset is calculated based on the fault probability of the evaluation target asset and the static configuration information. The risk evaluation value of the evaluation target asset is associated with the asset of the risk model.

5. 发明授权

US11640858B2 Digital therapeutic platform 有权
公开(公告)号：US11640858B2
公开(公告)日：2023-05-02
申请号：US17960511
申请日：2022-10-05
申请人： EYETHENA CORPORATION
发明人： Richard S. Koplin , Geoff Scott
IPC分类号： G16H50/20 , G06N7/00 , G16H10/60 , G16H40/67
摘要： Systems and methods are provided for monitoring health. An exemplary method includes: collecting a first data regarding a patient during an in-office visit; providing a remote monitoring service for remotely monitoring the patient's health; remotely collecting, using the remote monitoring service, a second data of the patient; providing a probabilistic network for assigning metric-based information to the plurality of data using a plurality of conditional probabilities; processing, using the probabilistic network, the first data and the second data using the probabilistic network; generating, using the processed plurality of data, one or more machine learning models for producing a knowledge base trained to recognize pattern types in the data; generating, using the knowledge base, one or more artificial intelligent features for recommending treatment options based on the data regarding the patient; and providing, using the one or more artificial intelligent features, one or more treatment recommendations for improving the patient's health.

6. 发明授权

US11640450B2 Authentication using features extracted based on cursor locations 有权
公开(公告)号：US11640450B2
公开(公告)日：2023-05-02
申请号：US16101460
申请日：2018-08-12
申请人： International Business Machines Corporation
发明人： Itay Hazan
IPC分类号： G06F21/31 , G06N7/00 , G06N20/00
摘要： In an example computer-implemented method, a number of cursor locations within a text field, and associated action types and time stamps are received via a processor. One or more features including a latency between a number of events associated with the cursor locations is extracted via the processor based on the cursor locations and the associated action types and time stamps. A user is authenticated, identified, or verified via the processor based on the extracted one or more features and a learning model or a statistical mechanism.

7. 发明申请

US20230131884A1 GENERATING AFFINITY GROUPS WITH MULTINOMIAL CLASSIFICATION AND BAYESIAN RANKING 有权
公开(公告)号：US20230131884A1
公开(公告)日：2023-04-27
申请号：US17511946
申请日：2021-10-27
申请人： AMPERITY, INC.
发明人： Andrew LIM , Joseph CHRISTIANSON , Joyce GORDON , Nicholas RESNICK , Yan YAN
IPC分类号： G06N7/00 , G06N20/20
摘要： The example embodiments are directed toward improvements in generating affinity groups. In an embodiment, a method is disclosed comprising generating probabilities of object interactions for a plurality of users, a given object recommendation ranking for a respective user comprising a ranked list of object attributes; calculating interaction probabilities for each user over a forecasting window; calculating affinity group rankings based on the probabilities of object interactions and the interaction probabilities for each user; and grouping the plurality of users based on the affinity group rankings.

8. 发明申请

US20230126328A1 SYSTEMS AND METHODS FOR TRAFFIC-FLOW REGULATION VIA CENTRALIZED LATERAL FLOW CONTROL 有权
公开(公告)号：US20230126328A1
公开(公告)日：2023-04-27
申请号：US17698305
申请日：2022-03-18
申请人： Toyota Motor Engineering & Manufacturing North America, Inc.
发明人： Abdul Rahman Kreidieh , Yashar Zeiynali Farid , Kentaro Oguchi
IPC分类号： G08G1/01 , G08G1/0967 , G06N7/00
摘要： Systems and methods described herein relate to traffic-flow regulation via centralized lateral flow control. One embodiment receives, at a locality manager that regulates traffic flow on a roadway via lateral flow control, aggregated macroscopic traffic state information from a section manager that communicates with one or more connected vehicles in a section of the roadway; processes the aggregated macroscopic traffic state information at the locality manager using a reinforcement-learning-based model to determine target lateral flows for two or more lanes of the roadway in the section of the roadway; and transmits the target lateral flows from the locality manager to the section manager, which converts the target lateral flows to lane-change actions and transmits the lane-change actions to the one or more connected vehicles.

9. 发明申请

US20230125509A1 BAYESIAN ADAPTABLE DATA GATHERING FOR EDGE NODE PERFORMANCE PREDICTION 有权
公开(公告)号：US20230125509A1
公开(公告)日：2023-04-27
申请号：US17451780
申请日：2021-10-21
申请人： EMC IP Holding Company LLC
发明人： Paulo Abelha Ferreira , Pablo Nascimento da Silva , Vinicius Michel Gottin
IPC分类号： G06N7/00 , H04L12/751
摘要： One example method includes performing, at a central node operable to communicate with edge nodes of an edge computing environment, operations that include signaling the edge nodes to share their respective data distributions to the central node, collecting the data distributions, performing a Bayesian clustering operation with respect to the edge nodes to define clusters that group some of the edge nodes, and one of the edge nodes in each cluster is a representative edge node of that cluster, and sampling data from the representative edge nodes.

10. 发明授权

US11637858B2 Detecting malware with deep generative models 有权
公开(公告)号：US11637858B2
公开(公告)日：2023-04-25
申请号：US16887586
申请日：2020-05-29
申请人： Cylance Inc.
发明人： Michael Thomas Wojnowicz
IPC分类号： H04L9/40 , G06N7/00 , H04L9/06
摘要： Features are extracted from an artifact so that a vector can be populated. The vector is then inputted into an anomaly detection model comprising a deep generative model to generate a first score. The first score can characterize the artifact as being malicious or benign to access, execute, or continue to execute. In addition, the vector is inputted into a machine learning-based classification model to generate a second score. The second score can also characterize the artifact as being malicious or benign to access, execute, or continue to execute. The second score is then modified based on the first score to result in a final score. The final score can then be provided to a consuming application or process. Related apparatus, systems, techniques and articles are also described.

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