IMPROVING BLAST PATTERNS
    1.
    发明申请

    公开(公告)号:US20230065981A1

    公开(公告)日:2023-03-02

    申请号:US18047127

    申请日:2022-10-17

    Abstract: Techniques for improving a blast pattern at a mining site include conducting an initial blast and recording the initial blast as a high speed optical video. The high speed optical video, and the blast pattern used in the initial blast are sent as inputs to a machine learning model, which correlates one or more characteristics of the region being blasted with measurements associated with characteristics of the region being blasted obtained from the high speed optical video. The machine learning model can then determine an improved blast pattern based on the correlation made. This improved blast pattern can be displayed on a user computing device, or transmitted to a drilling system to automatically drill the improved blast pattern for subsequent blasts.

    DETERMINING ORE CHARACTERISTICS
    2.
    发明申请

    公开(公告)号:US20220347725A1

    公开(公告)日:2022-11-03

    申请号:US17832910

    申请日:2022-06-06

    Abstract: Techniques for processing ore include the steps of causing an imaging capture system to record a plurality of images of a stream of ore fragments en route from a first location in an ore processing facility to a second location in the ore processing facility; correlating the plurality of images of the stream of ore fragments with at least one or more characteristics of the ore fragments using a machine learning model that includes a plurality of ore parameter measurements associated with the one or more characteristics of the ore fragments; determining, based on the correlation, at least one of the one or more characteristics of the ore fragments; and generating, for display on a user computing device, data indicating the one or more characteristics of the ore fragments or data indicating an action or decision based on the one or more characteristics of the ore fragments.

    CLOSED LOOP NEUROSTIMULATION OF LARGE-SCALE BRAIN NETWORKS

    公开(公告)号:US20210016113A1

    公开(公告)日:2021-01-21

    申请号:US16931778

    申请日:2020-07-17

    Abstract: Closed-loop neurostimulation of large-scale brain networks includes a neurostimulation headset having at least two ultrasound transducer modules configured to generate within a first time period, a first focused ultrasound wave at a region within a portion of a subject's brain, one or more sensors configured to measure, within the first time period, a response from the portion of the subject's brain in response to the first focused ultrasound wave, and an electronic controller in communication with the at least two emitters and the one or more sensors configured to dynamically adjust, based on the measured response from the portion of the subject's brain, a power level of one or more of the at least two ultrasound transducer modules to generate a second focused ultrasound wave at the region within the portion of the subject's brain.

    Nuclear radiation detection
    5.
    发明授权

    公开(公告)号:US12085684B2

    公开(公告)日:2024-09-10

    申请号:US18164380

    申请日:2023-02-03

    CPC classification number: G01T3/06 G01T7/02

    Abstract: A nuclear radiation detector is disclosed. The detector includes a housing including therein: a scintillator; and a multi-pixel optical sensor positioned, relative to the scintillator, to receive photons emitted by the scintillator in response to interactions with nuclear radiation. The housing isolates the scintillator and the multi-pixel optical sensor from external light. The detector includes one or more processors operably connectable to the multi-pixel optical sensor; and one or more data stores coupled to the processors having instructions stored thereon which cause the processors to perform operations. The operations include: responsive to the multi-pixel optical sensor detecting photons emitted by the scintillator, receiving, from the multi-pixel optical sensor, data signals indicating 1) spatial locations of individual pixels that detected the photons and 2) temporal data indicating when the detections occurred; and generating, from the data signals, a spatially and temporally resolved image of radiation incident on the scintillator.

    ADAPTIVE COOKING DEVICE
    6.
    发明申请

    公开(公告)号:US20220264709A1

    公开(公告)日:2022-08-18

    申请号:US17675233

    申请日:2022-02-18

    Abstract: According to a first aspect, there is provided an adaptive cooking device that includes: a cooking chamber configured to receive a food product, an antenna assembly, an RF power source, a sensor assembly coupled to the cooking chamber and comprising a plurality of sensors, each sensor configured to obtain a measurement characterizing a cooking process in real-time, and one or more sensors of the plurality of sensors configured to obtain a different type of the measurement, and a controller coupled to the antenna assembly, the sensor assembly, and the RF power source, wherein the controller is configured to: receive the measurement characterizing the cooking process from the sensor assembly, process the measurement to determine a modified cooking process, and operate the antenna assembly and the RF power source in accordance with the modified cooking process in real-time.

    Determining ore characteristics
    7.
    发明授权

    公开(公告)号:US11351576B2

    公开(公告)日:2022-06-07

    申请号:US16892861

    申请日:2020-06-04

    Abstract: Techniques for processing ore include the steps of causing an imaging capture system to record a plurality of images of a stream of ore fragments en route from a first location in an ore processing facility to a second location in the ore processing facility; correlating the plurality of images of the stream of ore fragments with at least one or more characteristics of the ore fragments using a machine learning model that includes a plurality of ore parameter measurements associated with the one or more characteristics of the ore fragments; determining, based on the correlation, at least one of the one or more characteristics of the ore fragments; and generating, for display on a user computing device, data indicating the one or more characteristics of the ore fragments or data indicating an action or decision based on the one or more characteristics of the ore fragments.

    MULTIMODAL PLATFORM FOR ENGINEERING BRAIN STATES

    公开(公告)号:US20220062580A1

    公开(公告)日:2022-03-03

    申请号:US17003620

    申请日:2020-08-26

    Abstract: A method including identifying an activity pattern of a subject's brain, determining, based on the identified activity pattern of the subject's brain and a target parameter, a set of stimulation parameters, generating, by two or more emitters and based on the set of stimulation parameters, a composite stimulation pattern at a portion of the subject's brain, wherein each of the two or more emitters generates a stimulation pattern using a different modality, measuring, by one or more sensors, a response from the portion of the subject's brain in response to the composite stimulation pattern; and dynamically adjusting, for each emitter and based on the measured response from the portion of the subject's brain, a set of stimulation parameters.

    SUBSURFACE LITHOLOGICAL MODEL WITH MACHINE LEARNING

    公开(公告)号:US20210318465A1

    公开(公告)日:2021-10-14

    申请号:US17229391

    申请日:2021-04-13

    Abstract: This disclosure describes a system and method for generating a subsurface model representing lithological characteristics and attributes of the subsurface of a celestial body or planet. By automatically ingesting data from many sources, a machine learning system can infer information about the characteristics of regions of the subsurface and build a model representing the subsurface rock properties. In some cases, this can provide information about a region using inferred data, where no direct measurements have been taken. Remote sensing data, such as aerial or satellite imagery, gravimetric data, magnetic field data, electromagnetic data, and other information can be readily collected or is already available at scale. Lithological attributes and characteristics present in available geoscience data can be correlated with related remote sensing data using a machine learning model, which can then infer lithological attributes and characteristics for regions where remote sensing data is available, but geoscience data is not.

    ULTRASONIC SPEECH RECOGNITION
    10.
    发明申请

    公开(公告)号:US20200344544A1

    公开(公告)日:2020-10-29

    申请号:US16842241

    申请日:2020-04-07

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for analyzing ultrasonic signals to recognize mouthed articulations. One of the methods includes generating an ultrasonic carrier signal and coupling the ultrasonic carrier signal to a person's vocal tract. The method includes detecting a modulated ultrasonic signal, the modulated ultrasonic signal corresponding to the ultrasonic carrier signal modulated by the person's vocal tract to include information about articulations mouthed by the person; analyzing, using a data processing apparatus, the modulated ultrasonic signal to recognize the articulations mouthed by the person from the information in the modulated ultrasonic signal; and generating, using the data processing apparatus, an output in response to the recognized articulations.

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