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公开(公告)号：US20230229901A1
公开(公告)日：2023-07-20
申请号：US18173157
申请日：2023-02-23
申请人： X Development LLC
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an artificial neural network architecture based on a synaptic connectivity graph. According to one aspect, there is provided a method comprising: obtaining a synaptic resolution image of at least a portion of a brain of a biological organism; processing the image to identify: (i) a plurality of neurons in the brain, and (ii) a plurality of synaptic connections between pairs of neurons in the brain; generating data defining a graph representing synaptic connectivity between the neurons in the brain; determining an artificial neural network architecture corresponding to the graph representing the synaptic connectivity between the neurons in the brain; and processing a network input using an artificial neural network having the artificial neural network architecture to generate a network output.
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公开(公告)号：US20230229891A1
公开(公告)日：2023-07-20
申请号：US18173133
申请日：2023-02-23
申请人： X Development LLC
CPC分类号： G06N3/045 , G06V30/18057 , G06T7/0012 , G06N3/08 , G06V10/82 , G06T2207/20084 , G06T2207/20081 , G06T2207/30016 , G06T2207/10061
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing a reservoir computing neural network. In one aspect there is provided a reservoir computing neural network comprising: (i) a brain emulation sub-network, and (ii) a prediction sub-network. The brain emulation sub-network is configured to process the network input in accordance with values of a plurality of brain emulation sub-network parameters to generate an alternative representation of the network input. The prediction sub-network is configured to process the alternative representation of the network input in accordance with values of a plurality of prediction sub-network parameters to generate the network output. The values of the brain emulation sub-network parameters are determined before the reservoir computing neural network is trained and are not adjusting during training of the reservoir computing neural network.
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公开(公告)号：US11631000B2
公开(公告)日：2023-04-18
申请号：US16731186
申请日：2019-12-31
申请人： X Development LLC
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a student neural network. In one aspect, there is provided a method comprising: processing a training input using the student neural network to generate a student neural network output comprising a respective score for each of a plurality of classes; processing the training input using a brain emulation neural network to generate a brain emulation neural network output comprising a respective score for each of the plurality of classes; and adjusting current values of the student neural network parameters using gradients of an objective function that characterizes a similarity between: (i) the student neural network output for the training input, and (ii) the brain emulation neural network output for the training input.
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公开(公告)号：US20220357753A1
公开(公告)日：2022-11-10
申请号：US17825295
申请日：2022-05-26
申请人： X Development LLC
IPC分类号： G05D1/10 , G05D1/00 , G06N7/00 , B64C39/02 , G01C21/00 , G05D1/06 , G08G5/00 , G08G5/02 , G01C21/20
摘要： An example method may include receiving, from a client computing device, an indication of a target drop-off spot for an object within a first virtual model of a first region of a delivery destination. A second virtual model of a second region of the delivery destination may be determined based on sensor data received from one or more sensors on a delivery vehicle. A mapping may be determined between physical features represented in the first virtual model and physical features represented in the second virtual model to determine an overlapping region between the first and second virtual models. A position of the target drop-off spot within the second virtual model may be determined based on the overlapping region. Based on the position of the target drop-off spot within the second virtual model, the delivery vehicle may be navigated to the target drop-off spot to drop off the object.
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公开(公告)号：US11454985B1
公开(公告)日：2022-09-27
申请号：US16751414
申请日：2020-01-24
申请人： X Development LLC
发明人： Johan Ulrich Lewin Jessen , Kristina Liv Larsen , Martin Friedrich Schubert , Michael Patrick Bauerly , Michael Jason Grundmann , Rowan M. Ogden , Philip Edwin Watson
摘要： The subject matter of this specification generally relates to modular vehicles including separable pod and base units. In some implementations, a computing system installed in a vehicle base identifies a vehicle pod that is detachably connected to a chassis on the vehicle base. In response to identifying that the vehicle pod is detachably connected to the chassis on the vehicle base, a communications link can be established between the computing system installed in the vehicle base and a computing system installed in the vehicle pod. Based on information obtained through the communications link, the computing system installed in the vehicle base can determine a particular configuration of the vehicle pod that is detachably connected to the chassis. The computing system can then verify that the vehicle base can safely transport the vehicle pod while the vehicle pod is detachably connected.
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公开(公告)号：US10716487B2
公开(公告)日：2020-07-21
申请号：US15856043
申请日：2017-12-27
申请人： X Development LLC
IPC分类号： A61B5/0478 , A61B5/00 , A61B5/04 , A61B5/0484
摘要： A method for obtaining an electroencephalogram (EEG) of a user is disclosed. A reference sensor is attached to the user by connecting a first component of the reference sensor to a second component of the reference sensor, at least a portion of the first component being sub-dermally implanted on or adjacent to a mastoid process of the user. At least one active sensor is attached to the user. A first signal is detected from the reference sensor simultaneously as a second signal is detected from the at least one active sensor. The EEG is obtained based on the first signal and the second signal.
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公开(公告)号：US11593627B2
公开(公告)日：2023-02-28
申请号：US16731396
申请日：2019-12-31
申请人： X Development LLC
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an artificial neural network architecture based on a synaptic connectivity graph. According to one aspect, there is provided a method comprising: obtaining a synaptic resolution image of at least a portion of a brain of a biological organism; processing the image to identify: (i) a plurality of neurons in the brain, and (ii) a plurality of synaptic connections between pairs of neurons in the brain; generating data defining a graph representing synaptic connectivity between the neurons in the brain; determining an artificial neural network architecture corresponding to the graph representing the synaptic connectivity between the neurons in the brain; and processing a network input using an artificial neural network having the artificial neural network architecture to generate a network output.
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公开(公告)号：US11593617B2
公开(公告)日：2023-02-28
申请号：US16776574
申请日：2020-01-30
申请人： X Development LLC
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing a reservoir computing neural network. In one aspect there is provided a reservoir computing neural network comprising: (i) a brain emulation sub-network, and (ii) a prediction sub-network. The brain emulation sub-network is configured to process the network input in accordance with values of a plurality of brain emulation sub-network parameters to generate an alternative representation of the network input. The prediction sub-network is configured to process the alternative representation of the network input in accordance with values of a plurality of prediction sub-network parameters to generate the network output. The values of the brain emulation sub-network parameters are determined before the reservoir computing neural network is trained and are not adjusting during training of the reservoir computing neural network.
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公开(公告)号：US20220016446A1
公开(公告)日：2022-01-20
申请号：US16928937
申请日：2020-07-14
申请人： X Development LLC
发明人： Faust Whale , Radu Gogoana , Philip Edwin Watson
IPC分类号： A62B7/10
摘要： A method of delivering air to a user includes receiving, by a controller and from a sensor, motion information of the user. The motion information represents motion of a portion of a head of the user below eyes of the user. The sensor and the controller are coupled to a portable article of the user. The method also includes determining, by the controller, based on the motion information, a position of the head of the user. The method further includes controlling, by the controller based on the determined position, a fluid outlet of a fluid conduit fluidly coupled to and configured to receive air from a fan.
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公开(公告)号：US20210201107A1
公开(公告)日：2021-07-01
申请号：US16776108
申请日：2020-01-29
申请人： X Development LLC
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting a neural network architecture for performing a machine learning task. In one aspect, a method comprises: obtaining data defining a synaptic connectivity graph representing synaptic connectivity between neurons in a brain of a biological organism; generating data defining a plurality of candidate graphs based on the synaptic connectivity graph; determining, for each candidate graph, a performance measure on a machine learning task of a neural network having a neural network architecture that is specified by the candidate graph; and selecting a final neural network architecture for performing the machine learning task based on the performance measures.
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