DEEP CAUSAL LEARNING FOR DATA STORAGE AND PROCESSING POWER MANAGEMENT

    公开(公告)号:US20230325077A1

    公开(公告)日:2023-10-12

    申请号:US18210216

    申请日:2023-06-15

    CPC classification number: G06F3/0604 G06F3/0658 G06F3/0685

    Abstract: Method for active data storage management to optimize use of an electronic memory. The method includes providing signal injections for data storage. The signal injections can include various types of data and sizes of data files. Response signals corresponding with the signal injections are received, and a utility of those signals is measured. Based upon the utility of the response signals, parameters relating to storage of the data is modified to optimize use of long-term high latency passive data storage and short-term low latency active data storage.

    OPTICAL RETARDER SEGMENTS
    44.
    发明申请

    公开(公告)号:US20230115202A1

    公开(公告)日:2023-04-13

    申请号:US17873420

    申请日:2022-07-26

    Abstract: An optical element includes an optical surface configured to receive light at a predetermined wavelength in a range from about 400 nm to about 1000 nm. The optical surface is defined by a vertical axis and a horizontal axis defining four Cartesian quadrants sequentially numbered in a counter-clockwise direction. A first longitudinal section of the optical surface is centered on the vertical axis and a second longitudinal section of the optical surface is centered on the horizontal axis. The first and second longitudinal section each extend across opposite edges of the optical surface and have a same substantially uniform retardance for substantially normally incident light. The optical element includes four discrete retarder sections. Each retarder section is disposed on a respective Cartesian quadrant of the optical surface and has a retardance difference from the substantially uniform retardance of the optical surface that is greater than zero.

    OPTICAL FILTERS COMPLEMENTARY ANGULAR BLOCKING REGIONS

    公开(公告)号:US20220276421A1

    公开(公告)日:2022-09-01

    申请号:US17746170

    申请日:2022-05-17

    Abstract: An example optical filter may include an angle blocking layer having a first angular light blocking range θAL relative to a normal axis, and an interference filter adjacent the angle blocking layer having a second angular light blocking range θIF relative to the normal axis. θIF and θAL at least partially overlap. The example optical filter has a predetermined light transmission zone comprising angles from 0° to a maximum light transmission angle θTmax relative to a normal axis of the major surface. The example optical filter has a predetermined angular light blocking zone θB, a union of θIF and θAL. An example optical filter may include an interference filter having an incidence angle-dependent reflection band and an absorbing layer having an absorption band. The incidence angle-dependent reflection band and the absorption band may overlap at at least one wavelength at at least one angle of incidence.

    Optical filters complementary angular blocking regions

    公开(公告)号:US11366257B2

    公开(公告)日:2022-06-21

    申请号:US16341639

    申请日:2017-10-18

    Abstract: An example optical filter may include an angle blocking layer Slaving a first angular light blocking range θAL relative to a normal axis, and an interference filter adjacent the angle blocking layer having a second angular light blocking range θIF relative to the normal axis. θIF and θAL at least partially overlap. The example optical filter has a predetermined light transmission zone comprising angles from 0° to a maximum light transmission angle θTmax relative to a normal axis of the major surface. The example optical filter has a predetermined angular light blocking zone θB, a union of θIF and θAL. An example optical filter may include an interference filter having an incidence angle-dependent reflection band and an absorbing layer having an absorption band. The incidence angle-dependent reflection band and the absorption band may overlap at least one wavelength at least one angle of incidence.

    DETERMINING CAUSAL MODELS FOR CONTROLLING ENVIRONMENTS

    公开(公告)号:US20220187774A1

    公开(公告)日:2022-06-16

    申请号:US17438096

    申请日:2019-09-11

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining causal models for controlling environments. One of the methods includes obtaining data specifying baseline probability distributions for each of a plurality of controllable elements; maintaining a causal model; repeatedly performing the following: selecting control settings for the environment based on the causal model and values for a particular internal parameter of the control system that are sampled from a range of possible values; selecting control settings for the environment based on the baseline probability distributions; monitoring environment responses to the control settings selected based on the causal model and the control settings selected based on the baseline probability distributions; determining, for each of the possible values, a measure of a difference between a current system performance and a baseline system performance; and updating how frequently each of the possible values is sampled.

    METHOD OF OPTIMIZING CONTROL SIGNALS USED IN OPERATING VEHICLE

    公开(公告)号:US20220176968A1

    公开(公告)日:2022-06-09

    申请号:US17436751

    申请日:2019-09-11

    Abstract: A method of optimizing a plurality of control signals used in operating a vehicle is described. The operation has a plurality of associated measurable parameters. The method includes: for each control signal, selecting a plurality of potential optimum values from a predetermined set; operating the vehicle in at least a first sequence of operation iterations, where for each pair of sequential first and second operation iterations in the first sequence of operation iterations, the potential optimum value of one control signal in the first operation iteration is replaced in the second operation iteration with a next potential optimum value of the control signal, while the potential optimum values of the remaining control signals are maintained; for each operation iteration, measuring each parameter in the plurality of measurable parameters; and generating confidence intervals for the control signals to determine causal relationships between the control signals and the measurable parameters.

    DETERMINING CAUSAL MODELS FOR CONTROLLING ENVIRONMENTS

    公开(公告)号:US20220146995A1

    公开(公告)日:2022-05-12

    申请号:US17439105

    申请日:2019-09-11

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining causal models for controlling environments. One of the methods includes identifying a procedural instance; selecting control settings for the procedural instance, comprising, for a particular one of the controllable elements: assigning the procedural instance to a cluster for the particular controllable element in accordance with current values of a set of clustering parameters for the particular controllable element; and selecting a setting for the particular controllable element for the procedural instances based on a causal model that is specific to the cluster; obtaining environment responses to the selected control settings that define a value of the performance metric for the procedural instance; and updating, for the particular controllable element, the causal model for the cluster for the controllable element to which the procedural instance was assigned based on the value of the performance metric.

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