公开(公告)号：US09772550B2

公开(公告)日：2017-09-26

申请号：US14818233

申请日：2015-08-04

Applicant: X Development LLC

Inventor： Serge Joel Armand Bierhuizen ,  Philip Edwin Watson ,  Adam Eales Norton ,  Andrei Kazmierski

IPC: G03B21/625 ,  G02B27/30 ,  G02B3/08 ,  G09G3/36 ,  H04N9/31 ,  G03B21/13 ,  G03B37/04

CPC classification number: G03B21/625 ,  G02B3/08 ,  G02B27/30 ,  G03B21/13 ,  G03B37/04 ,  G09G3/36 ,  G09G2320/0266 ,  H04N9/3147

Abstract: Techniques and mechanisms to provide for improved image display in an area of overlapping projections. In an embodiment, a multi-layer projection screen comprises light sources and collimation structures each disposed over a corresponding one of such light sources. A first collimation structure disposed over a first light source collimates first light from the first light source. The first collimation structure further receives and redirects second light from a second light source disposed under a second collimation structure that adjoins the first collimation structure. In another embodiment, the first collimation structure redirects the other light from the second light source away from the direction of collimation of the first light. A stray light rejection layer of the multi-layer projection screen passes a majority of the first light for inclusion as part of a projected image, and prevents a majority of the second light from inclusion in the projected image.

公开(公告)号：US11568201B2

公开(公告)日：2023-01-31

申请号：US16776579

申请日：2020-01-30

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Georgios Evangelopoulos ,  Philip Edwin Watson

IPC: G06N3/04 ,  G06F16/901 ,  G06T7/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining an artificial neural network architecture corresponding to a sub-graph of a synaptic connectivity graph. In one aspect, there is provided a method comprising: obtaining data defining a graph representing synaptic connectivity between neurons in a brain of a biological organism; determining, for each node in the graph, a respective set of one or more node features characterizing a structure of the graph relative to the node; identifying a sub-graph of the graph, comprising selecting a proper subset of the nodes in the graph for inclusion in the sub-graph based on the node features of the nodes in the graph; and determining an artificial neural network architecture corresponding to the sub-graph of the graph.

公开(公告)号：US11353892B2

公开(公告)日：2022-06-07

申请号：US16429842

申请日：2019-06-03

Applicant: X Development LLC

Inventor： Martin Friedrich Schubert ,  Michael Jason Grundmann ,  Clifford Biffle ,  Philip Edwin Watson

IPC: G05D1/10 ,  G05D1/00 ,  G06N7/00 ,  B64C39/02 ,  G01C21/00 ,  G05D1/06 ,  G08G5/00 ,  G08G5/02 ,  G01C21/20

Abstract: 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.

公开(公告)号：US20210201119A1

公开(公告)日：2021-07-01

申请号：US16731396

申请日：2019-12-31

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Philip Edwin Watson

IPC: G06N3/063 ,  G06N3/04

Abstract: 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.

公开(公告)号：US20210201115A1

公开(公告)日：2021-07-01

申请号：US16776574

申请日：2020-01-30

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Philip Edwin Watson ,  Georgios Evangelopoulos

IPC: G06N3/04 ,  G06T7/00 ,  G06N3/08

Abstract: 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.

公开(公告)号：US20190286124A1

公开(公告)日：2019-09-19

申请号：US16429842

申请日：2019-06-03

Applicant: X Development LLC

Inventor： Martin Friedrich Schubert ,  Michael Jason Grundmann ,  Clifford Biffle ,  Philip Edwin Watson

IPC: G05D1/00 ,  G08G5/00 ,  G05D1/06 ,  B64C39/02 ,  G06N7/00 ,  G05D1/10 ,  G08G5/02 ,  G01C21/00 ,  G01C21/20

Abstract: 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.

公开(公告)号：US20190192024A1

公开(公告)日：2019-06-27

申请号：US16126951

申请日：2018-09-10

Applicant: X Development LLC

Inventor： Philip Edwin Watson ,  Sarah Ann Laszlo ,  Brian John Adolf

IPC: A61B5/04 ,  A61B5/00 ,  A61B5/0478

CPC classification number: G06F3/015 ,  A61B5/0006 ,  A61B5/04004 ,  A61B5/04012 ,  A61B5/0478 ,  A61B5/6814 ,  A61B5/7203 ,  A61B5/7225 ,  A61B5/7264 ,  G01N27/02 ,  G01N33/4836 ,  G06N20/00

Abstract: A method for generating an EEG signal is disclosed. Multiple signals from multiple electrodes applied to a user's scalp are measured. The signals correspond to electrical activity generated by the user's brain. Each of the signals is evaluated using a machine learning algorithm in real-time to determine a quality of each of the signals. One or more switches is activated between the electrodes to electrically-connect a plurality of the electrodes. An EEG signal is measured using the parallel-connected electrodes.

公开(公告)号：US20180160982A1

公开(公告)日：2018-06-14

申请号：US15374428

申请日：2016-12-09

Applicant: X Development LLC

Inventor： Sarah Laszlo ,  Philip Edwin Watson ,  Matthew Eisaman ,  Brian Adolf ,  Gabriella Levine

IPC: A61B5/00 ,  A61B5/0478 ,  A61B5/0205 ,  A61B5/11

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving brain activity data of a user from a brainwave sensor and user physiological data from a non-brainwave sensor, where the brain activity data represents a brainwave pattern related to a physiological activity of the user and a brainwave pattern related to a mental activity of the user. Identifying a physiological action of the user based on the user physiological data. Identifying, within the brain activity data, a pattern that is representative of the identified physiological action. Filtering the brain activity data to lessen a contribution of the pattern representative of the identified physiological action to the brain activity data, thereby, providing filtered brain activity data.

公开(公告)号：US20180129888A1

公开(公告)日：2018-05-10

申请号：US15343483

申请日：2016-11-04

Applicant: X Development LLC

Inventor： Martin Friedrich Schubert ,  Philip Edwin Watson

IPC: G06K9/00 ,  G06T7/00 ,  G06T11/20 ,  G06T11/60 ,  G06K9/52 ,  B60R1/00

Abstract: Methods, systems, and apparatus for providing indications of occluded objects. In some aspects a method includes the actions of determining a position of an observer whose view of an object is obstructed by a barrier; determining a position of the object relative to the observer; generating an indication of the position of the object based at least in part on the determined position of the observer; and displaying the indication of the position of the object on a display located between the observer and the barrier.

公开(公告)号：US11647953B2

公开(公告)日：2023-05-16

申请号：US15891740

申请日：2018-02-08

Applicant: X Development LLC

Inventor： Philip Edwin Watson ,  Gabriella Levine ,  Sarah Ann Laszlo

IPC: A61B5/291 ,  A61B5/00 ,  A61B5/375 ,  A61B5/378

CPC classification number: A61B5/6814 ,  A61B5/0006 ,  A61B5/291 ,  A61B5/375 ,  A61B5/378 ,  A61B5/6838 ,  A61B2562/0209

Abstract: A sensor device includes a sensor housing defining a channel extending along a channel axis through the housing from a first side of the sensor housing to a second side of the sensor housing opposite the first side, at least one contact electrode extending from the first side of the housing, an electrically-conducting lead attached to the housing in electrical communication with the at least one contact electrode, and a locking mechanism located in the channel permitting one-way axial motion of a thread threaded through the channel from the first side to the second side.