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50 条记录 (耗时 0.031 秒)

    Coordination management of multiple vehicles
    1.
    发明授权
    Coordination management of multiple vehicles 有权

    公开(公告)号：US11650060B2

    公开(公告)日：2023-05-16

    申请号：US16674008

    申请日：2019-11-05

    申请人： International Business Machines Corporation

    发明人： Bei Chen ,  Adi I. Botea ,  Akihiro Kishimoto ,  Beat Buesser

    IPC分类号： G01C21/34 ,  G05D1/02 ,  G05D1/00 ,  G08G1/00

    CPC分类号： G01C21/3415 ,  G05D1/0027 ,  G05D1/02 ,  G05D1/0291 ,  G05D1/0293 ,  G08G1/20 ,  G08G1/22

    摘要： Embodiments describe an approach for coordinating the travel of multiple vehicles traveling to a target destination, the embodiments describe generating a travel group, receiving travel group parameters from travel group members, synced GPS applications, and a weather application, generating a course of travel for the travel group members to reach a destination, and tracking each travel group member according to locations identified by the synced GPS applications. Additionally, embodiments describe determining that a subgroup of the travel group is no longer traveling within a pre-determined range of other travel group members; calculating an optimized course of travel for the subgroup to reunite with the other travel group members, adjusting the course of travel to include the optimized course of action for the subgroup, and causing each GPS application to direct the subgroup to travel according to the optimized course of travel.

    AUTOMATED DEEP LEARNING ARCHITECTURE SELECTION FOR TIME SERIES PREDICTION WITH USER INTERACTION
    5.
    发明申请
    AUTOMATED DEEP LEARNING ARCHITECTURE SELECTION FOR TIME SERIES PREDICTION WITH USER INTERACTION 有权

    公开(公告)号：US20220172038A1

    公开(公告)日：2022-06-02

    申请号：US17106966

    申请日：2020-11-30

    申请人： International Business Machines Corporation

    发明人： Bei Chen ,  Dakuo Wang ,  Martin Wistuba ,  Beat Buesser ,  Long VU ,  Chuang Gan ,  Mathieu Sinn

    IPC分类号： G06N3/08 ,  G06N3/04

    摘要： A system and method for automatically generating deep neural network architectures for time series prediction. The system includes a processor for: receiving a prediction context associated with a current use case; based on the associated prediction context, selecting a prediction model network configured for a current use case time series prediction task; replicating the selected prediction model network to create a plurality of candidate prediction model networks; inputting a time series data to each of the plurality of the candidate prediction model network; train, in parallel, each respective candidate prediction model network of the plurality with the input time series data; modifying each of the plurality of the candidate prediction model network by applying a respective different set of one or more model parameters while being trained in parallel; and determine a fittest modified prediction model network for solving the current use case time series prediction task.

    Correction of reaction rules databases by active learning
    7.
    发明授权
    Correction of reaction rules databases by active learning 有权

    公开(公告)号：US11132621B2

    公开(公告)日：2021-09-28

    申请号：US15813491

    申请日：2017-11-15

    申请人： International Business Machines Corporation

    发明人： Adi I. Botea ,  Beat Buesser ,  Bei Chen ,  Hiroshi Kajino ,  Akihiro Kishimoto

    IPC分类号： G06N20/00 ,  G06F16/23 ,  G16C20/90 ,  G16C20/10 ,  G16C20/70

    摘要： A system and method for reaction rules database correction. The method includes receiving a user-input correction to a first reaction rule in a reaction rules database, and locating a second reaction rule in the reaction rules database that is similar to the first reaction rule. The method also includes calculating a correctness score for the second reaction rule, and determining that the correctness score for the second reaction rule is below a threshold correctness score. Additionally, the method includes presenting, in response to the determining that the correctness score for the second reaction rule is below the threshold correctness score, the second reaction rule to a user, receiving a user-input correction to the second reaction rule, and updating the reaction rules database to include the user-input correction to the second reaction rule.

    Efficient retrosynthesis analysis
    8.
    发明授权
    Efficient retrosynthesis analysis 有权

    公开(公告)号：US10679733B2

    公开(公告)日：2020-06-09

    申请号：US15286972

    申请日：2016-10-06

    申请人： International Business Machines Corporation

    发明人： Adi I. Botea ,  Beat Buesser ,  Bei Chen ,  Akihiro Kishimoto ,  John Savage

    IPC分类号： G05B21/00 ,  G16C20/10 ,  G16C20/90

    摘要： Techniques for efficient retrosynthesis analysis are provided. A computer-implemented method for determining whether a target compound can be synthesized using known pathways for similar compounds includes receiving, by a processor, target compound data including a target compound. The method further includes obtaining, by the processor, a similar compound to the target compound, along with a reaction rule for synthesizing the similar compound. The method further includes applying, by the processor, the reaction rule to the target compound to generate a set of precursors. The method further includes generating, by the processor, a notification based on the set of precursors.