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    A TRAFFIC PLANNING METHOD FOR A VEHICLE FLEET
    1.
    发明公开
    A TRAFFIC PLANNING METHOD FOR A VEHICLE FLEET 审中-公开

    公开(公告)号：EP4462403A1

    公开(公告)日：2024-11-13

    申请号：EP23173047.4

    申请日：2023-05-12

    申请人： Volvo Autonomous Solutions AB

    发明人： HELLGREN, Jonas ,  KOJCHEV, Stefan

    IPC分类号： G08G1/127 ,  B60W60/00 ,  G06N3/00 ,  G06N3/006 ,  G06N3/02 ,  G06N3/08 ,  G06N5/01 ,  G06N7/01 ,  G06N20/00 ,  G06Q10/047 ,  G06Q10/08 ,  G08G1/00

    摘要： A computer-implemented traffic planning method (100) for controlling a plurality of vehicles which are movable among multiple shared resources, comprising:
    receiving (no) a transport mission;
    generating (112) a root node representing an initial resource occupancy of the vehicles;
    sequentially generating (114) a search tree from the root node, in which each edge represents a motion command and each node represents a resource occupancy, wherein each node is associated with a score including an anticipated reward for fulfilling the transport mission;
    identifying (116) a target node with an acceptable score; and
    deriving (118) a planned sequence of motion commands corresponding to a path to the target node, wherein:
    child nodes of a leaf node are generated (114.4) subject to a tree-expansion criterion (114.2);
    a reward is assigned (114.6) to a child node if the transport mission is fulfilled; and
    an anticipated value of the assigned reward is added (114.8) to all parent nodes.

    ARTIFICIAL INTELLIGENCE INFERENCING MACHINE AND METHOD OF USE THEREOF
    2.
    发明公开
    ARTIFICIAL INTELLIGENCE INFERENCING MACHINE AND METHOD OF USE THEREOF 审中-公开

    公开(公告)号：EP4462230A1

    公开(公告)日：2024-11-13

    申请号：EP24159777.2

    申请日：2024-02-26

    申请人： Deer IT Company

    发明人： Alexander, Anton

    IPC分类号： G06F1/3287 ,  G06N3/063 ,  G06N3/08 ,  G06N20/00 ,  G06N3/045

    摘要： A machine learning system comprising a power source, a central processor, and a first computing device. The central processor is configured to receive artificial-intelligence-specific models and creates at least one artificial-intelligence-specific task based on the artificial-intelligence-specific model. The first computing device is connected to the power source to receive power and the central processor to receive artificial-intelligence-specific tasks. The first computing device including a first base, a plurality of first processing units, and a first switch. The first base including a plurality of first traces. The first processing units are coupled with the first traces and configured to perform artificial-intelligence-specific tasks. The first switch is coupled with the first traces and connected to the first processing units via the first traces, wherein the first switch receives and distributes the artificial-intelligence-specific tasks amongst the first processing unit.

    ELECTRONIC DEVICE AND METHOD FOR GENERATING REPRESENTATIVE DATA FOR BASE STATION MODEL TRAINING
    7.
    发明公开
    ELECTRONIC DEVICE AND METHOD FOR GENERATING REPRESENTATIVE DATA FOR BASE STATION MODEL TRAINING 审中-公开

    公开(公告)号：EP4460066A1

    公开(公告)日：2024-11-06

    申请号：EP23799673.1

    申请日：2023-05-03

    申请人： SAMSUNG ELECTRONICS CO., LTD.

    发明人： CHOI, Minsuk ,  JANG, Seowoo ,  SONG, Juhwan ,  LEE, Seungyeon ,  CHOI, Jongwoo

    IPC分类号： H04W16/22 ,  H04W24/02 ,  H04W88/08 ,  G06N20/00 ,  H04B17/391

    摘要： An electronic device includes a memory storing instructions, a transceiver configured to receive base station data, and at least one processor configured to execute the instructions to: divide the base station data into a plurality of pieces of base station data according to a first time unit; generate first data of the first time unit by superimposing the plurality of pieces of base station data on each other; divide the first data of the first time unit into a plurality of second time intervals, according to a second time interval unit; calculate at least one probability density function for each second time interval of the plurality of second time intervals; generate at least one first representative data by using respective probability density functions of the plurality of second time intervals; and train the base station model, based on the at least one first representative data.

    ENHANCING DIAGNOSIS OF DISORDER THROUGH ARTIFICIAL INTELLIGENCE AND MOBILE HEALTH TECHNOLOGIES WITHOUT COMPROMISING ACCURACY
    8.
    发明公开
    ENHANCING DIAGNOSIS OF DISORDER THROUGH ARTIFICIAL INTELLIGENCE AND MOBILE HEALTH TECHNOLOGIES WITHOUT COMPROMISING ACCURACY 审中-公开

    公开(公告)号：EP4459518A2

    公开(公告)日：2024-11-06

    申请号：EP24189021.9

    申请日：2012-10-23

    申请人： President And Fellows Of Harvard College

    发明人： WALL, Dennis

    IPC分类号： G06N20/00

    摘要： A computer system for generating a diagnostic tool by applying artificial intelligence to an instrument for diagnosis of a disorder, such as autism. For autism, the instrument can be a caregiver-directed set of questions designed for an autism classification tool or an observation of the subject in a video, video conference, or in person and associated set of questions about behavior that are designed for use in a separate autism classification tool. The computer system can have one or more processors and memory to store one or more computer programs having instructions for generating a highly statistically accurate set of diagnostic items selected from the instrument, which are tested against a first test using a technique using artificial intelligence and a second test against an independent source. Also, a computer implemented method and a non-transitory computer-readable storage medium are disclosed.