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公开(公告)号:US12045025B1
公开(公告)日:2024-07-23
申请号:US18179452
申请日:2023-03-07
Applicant: X Development LLC
Inventor: Ananya Gupta , Phillip Ellsworth Stahlfeld
IPC: G05B19/042 , G06N20/00
CPC classification number: G05B19/042 , G06N20/00 , G05B2219/2639
Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for training a machine-learning model for predicting event tags. The system obtains asset data for an electric power distribution system in a geographic area. The asset data includes: for each of a plurality of electrical assets of the electrical power distribution system, data indicating one or more characteristics of the electrical asset. The system further obtains sensor data for the electric power distribution system. The sensor data includes measurement data from a plurality of electric sensors. The system generates, by processing the asset data and the sensor data, partition data that includes, for each of the plurality of electrical assets, an assignment that assigns the electrical asset to one of a set of feeder networks.
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公开(公告)号:US20240223714A1
公开(公告)日:2024-07-04
申请号:US18238272
申请日:2023-08-25
Applicant: X Development LLC
Inventor: Andrew Rossignol , Harrison Pham
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium that provides an enhanced synchronization framework. One of the methods includes a primary and a second device that receive configuration information which identifies one or more actions to be performed by the secondary device when it receives specified pulses of a sequence of pulses from the primary device. The primary device transmits a sequence of pulses. The primary and the secondary device receive a particular pulse from the sequence of pulses. The secondary device determines whether the particular pulse satisfies one or more predetermined criteria and generates an instruction based on the determination.
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公开(公告)号:US12025609B2
公开(公告)日:2024-07-02
申请号:US18329298
申请日:2023-06-05
Applicant: X Development LLC
Inventor: Antonio Raymond Papania-Davis , Weishi Yan
IPC: G01N33/38 , G01N11/00 , G01N15/14 , G06F30/25 , G06F113/02 , G06F113/26 , G06F119/02 , G16C60/00
CPC classification number: G01N33/383 , G01N11/00 , G01N15/14 , G06F30/25 , G16C60/00 , G01N2015/1493 , G01N2015/1497 , G06F2113/02 , G06F2113/26 , G06F2119/02
Abstract: Methods, systems, and apparatus for generating a recipe for a concrete mixture, comprising: obtaining an optical characterization of a set of particles; determining, based on the optical characterization, physical characteristics of the set of particles; generating a multispherical approximation of the set of particles; selecting, based on the physical characteristics of the set of particles and from a database of performance rules, performance rules applicable to the set of particles; predicting performance of a proposed recipe for a concrete mixture formed from the set of particles by: determining a wet flowability rating of the proposed recipe based on the selected performance rules; and determining a dry packing rating of the proposed recipe based on the multispherical approximation; iteratively altering the proposed recipe and predicting performance of the altered proposed recipe until the predicted performance satisfies performance criteria to obtain a final recipe; and outputting the final recipe.
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公开(公告)号:US20240202654A1
公开(公告)日:2024-06-20
申请号:US18460872
申请日:2023-09-05
Applicant: X Development LLC
Inventor: Yangli Hector Yee , Julia Black Ling , Antoni Jordi Ballester , Bertrand Louis Rene Delorme , Alexandre Szenicer
IPC: G06Q10/0835 , G06F30/20
CPC classification number: G06Q10/08355 , G06F30/20
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining elements of a shipping network. One of the methods includes obtaining environmental input data, wherein the environmental input data includes weather forecast data; providing the environmental input data to a circulation model; and providing output environmental condition from the circulation model to a machine learning model trained to generate a route for a ship.
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公开(公告)号:US12013859B2
公开(公告)日:2024-06-18
申请号:US17842132
申请日:2022-06-16
Applicant: X Development LLC
Inventor: David Andre
IPC: G06F16/2455 , G06F16/248 , G06F40/30 , G06F40/40
CPC classification number: G06F16/24556 , G06F16/248 , G06F40/30 , G06F40/40
Abstract: Implementations are described herein for aggregating information responsive to a query from multiple different data feed services using machine learning. In various implementations, NLP may be performed on a natural language input comprising a query for information to generate a data feed-agnostic aggregator embedding (FAAE). A plurality of data feed services may be selected, each having its own data feed service action space that includes actions that are performable to access data via the data feed service. The FAAE may be processed based on domain-specific machine learning models corresponding to the selected data feed services. Each domain-specific machine learning model may translate between a respective data feed service action space and a data feed-agnostic semantic embedding space. Using these models, action(s) may be selected from the data feed service action spaces and performed to aggregate, from the plurality of data feed services, data that is responsive to the query.
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公开(公告)号:US11984935B2
公开(公告)日:2024-05-14
申请号:US17940417
申请日:2022-09-08
Applicant: X Development LLC
Inventor: Paul Csonka
IPC: H04B10/80 , H04B10/112 , H04B10/61
CPC classification number: H04B10/803 , H04B10/1129 , H04B10/6165
Abstract: The disclosure provides a method for adjusting an optical link alignment of a first communication device with a remote device. The method includes transmitting or receiving an optical signal; receiving one or more measurements of at least one environmental factor at the first communication device or the remote device; and receiving or detecting an apparent amount of alignment of the optical signal. Then, by one or more processors of the first communication device, determining an estimated error attributable to optical cross coupling and an actual amount of alignment of the optical signal based on the apparent amount of alignment and the estimated error. Next, adjusting the first communication device based on the actual amount of alignment to correct for optical cross coupling.
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公开(公告)号:US20240154782A1
公开(公告)日:2024-05-09
申请号:US17981193
申请日:2022-11-04
Applicant: X Development LLC
Inventor: Mike Miao He , Rui Yao , Xinyue Li , Leo Francis Casey
CPC classification number: H04L7/0008 , H02J13/00002
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing electric grid timing coordination. The method can include: receiving, by a first electric grid device, a message from a second electric grid device, the message including a first clock value associated with an oscillator of the second electric grid device; determining, based on the first clock value, a second-first device time offset between the second electric grid device and the first electric grid device; and storing the second-first device time offset in a time offset table stored at the first electric grid device.
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公开(公告)号:US20240152774A1
公开(公告)日:2024-05-09
申请号:US17979964
申请日:2022-11-03
Applicant: X Development LLC
Inventor: Lam Thanh NGUYEN , Grace Taixi BRENTANO , David ANDRE , Salil Vijaykumar PRADHAN , Gearoid MURPHY
Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for modeling agents in multi-agent systems as reinforcement learning (RL) agents and training control policies that cause the agents to cooperate towards a common goal. A method can include generating, for each of a group of simulated local agents in an agent network in which the simulated local agents share resources, information, or both, experience tuples having a state for the simulated local agent, an action taken by the simulated local agent, and a local result for the action taken, updating each local policy of each simulated local agent according to the respective local result, providing, to each of the simulated local agents, information representing a global state of the agent network, and updating each local policy of each simulated local agent according to the global state of the agent network.
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29.
公开(公告)号:US20240135691A1
公开(公告)日:2024-04-25
申请号:US18493018
申请日:2023-10-23
Applicant: X Development LLC
Inventor: Avery Noam Cowan , Nikhil Suresh , Akshina Gupta , David Andre , Eliot Julien Cowan
IPC: G06V10/776 , G06V10/74
CPC classification number: G06V10/776 , G06V10/761
Abstract: Methods, systems, and apparatus for obtaining input features representative of a region of space, processing an input comprising the input features through the ML model to generate a prediction describing predicted features of the region of space, obtaining result features describing the region of space, determining a value of at least one evaluation metric that relates the predicted features and the result features, that at least one evaluation metric including one of a distance score, a pyramiding density error, and min-max intersection over union (IOU) score, and training the ML model responsive to the at least one evaluation metric. Other implementations of this aspect include corresponding systems, apparatus, and computer programs, configured to perform the actions of the methods, encoded on computer storage devices.
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公开(公告)号:US20240124325A1
公开(公告)日:2024-04-18
申请号:US18239697
申请日:2023-08-29
Applicant: X Development LLC
Inventor: Thomas Robert Swanson , Harrison Pham , Grace Calvert Young , Mandy Jubang , Diosdado Rey Banatao
IPC: C02F1/00 , C02F1/36 , G06V10/143 , G06V20/05
CPC classification number: C02F1/008 , C02F1/36 , G06V10/143 , G06V20/05 , C02F2101/30
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for microplastic removal. In some implementations, a method can include controlling a camera to capture one or more images of plastic in water; providing the one or more images to a machine learning model trained to detect plastic; obtaining output from the machine learning model indicating one or more items of plastic; and controlling one or more acoustic transducers to move the one or more items of plastic.
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