LEARNABLE DEGREES OF EQUIVARIANCE FOR MACHINE LEARNING MODELS

    公开(公告)号:US20250086522A1

    公开(公告)日:2025-03-13

    申请号:US18462914

    申请日:2023-09-07

    Abstract: Certain aspects of the present disclosure provide techniques and apparatus for improved machine learning. A set of training data is accessed, and a transformation group comprising a plurality of group elements is determined. A set of unconstrained weights for a layer of the machine learning model is generated based on the set of training data. A set of parameter values for a likelihood function for the layer is generated based on the set of training data. A set of constrained weights is generated, based at least in part on the likelihood function and the set of unconstrained weights, such that the set of constrained weights is equivariant with respect to at least a subset of the plurality of group elements.

    Microphone having a digital output determined at different power consumption levels

    公开(公告)号:US12010488B2

    公开(公告)日:2024-06-11

    申请号:US18126938

    申请日:2023-03-27

    Abstract: An acoustic device is described and includes an acoustic sensor element configured to sense acoustic energy and produce an output signal and a threshold detector circuit including a switch having an input coupled to the output of the acoustic sensor element to receive the output signal, a control port that receives a control signal, and first and second output ports, a first channel including an analog-to-digital converter that operates at a first power level a second analog-to-digital converter that operates at a second higher power level, relative to the first power level and a threshold level detector that receives an output from the first analog-to-digital converter to produce the control signal having a first state that causes the switch feed the output signal from the acoustic sensor element to the second analog-to-digital converter when the first digitized output signal meets a threshold criteria.

    METHOD AND SYSTEM FOR TUNING A CAMERA IMAGE SIGNAL PROCESSOR FOR COMPUTER VISION TASKS

    公开(公告)号:US20240163551A1

    公开(公告)日:2024-05-16

    申请号:US18502061

    申请日:2023-11-05

    CPC classification number: H04N23/64

    Abstract: Image Signal Processing (ISP) optimization framework for computer vision applications is disclosed. The tuning of the ISP is performed automatically and presented as a nonlinear multi-objective optimization problem, followed by solving the problem using an evolutionary stochastic solver. An improved ISP of the embodiments of the invention includes at least features of search space reduction for reducing a number of ISP configurations, remapping the generated population to the reduced search space via mirroring, and global optimization function processing, which allow tuning all the blocks of the ISP at the same time instead of the prior art tuning of each ISP block separately. Also shown that an ISP tuned for image quality performs inferior compared with an ISP trained for a specific downstream image recognition task.

    COMPACT, MICROCOMPOSITE GAS FILTER
    87.
    发明公开

    公开(公告)号:US20240157294A1

    公开(公告)日:2024-05-16

    申请号:US18508934

    申请日:2023-11-14

    Abstract: Commercially available gas filters are too large for mobile form-factor gas sensors. These sensors require filters with planar dimensions in the millimeter range and thicknesses of 1 mm or less and combined with long term and harsh conditions survivability. Furthermore, custom filters made small enough to be applied onto mobile form-factor gas sensors are generally not specific enough to support multi-gas detection. This invention describes a novel structured filter: (1) derived from principles of macroscale gas separation columns, (2) made compact enough to be utilized at millimeter scale and microscale levels, and (3) made compatible with mobile requirements and some methodology for usage in micro gas spectroscopy platforms.

    PIEZOELECTRIC MICROMACHINED ULTRASONIC TRANSDUCER (PMUT) DESIGN

    公开(公告)号:US20230270011A1

    公开(公告)日:2023-08-24

    申请号:US18174536

    申请日:2023-02-24

    Abstract: Aspects include piezoelectric acoustic transducers and systems for acoustic transduction. In some aspects, an acoustic transducer is structured with a silicon substrate having a top surface and a bottom surface, where the top surface has a first portion and an edge along the first portion associated with an acoustic aperture. The transducer has a first silicon oxide layer disposed over the first portion of the top surface of the silicon substrate, a polysilicon layer disposed over the first silicon oxide layer, and a second silicon oxide layer disposed over the polysilicon layer. A cantilevered beam comprising a fixed end, a deflection end, a top surface, and a bottom surface, has a first portion of the bottom surface at the fixed end disposed over the second silicon oxide layer, where a second portion of the bottom surface at the deflection end is formed over the acoustic aperture. In some aspects. transducer elements are reconfigurable between parallel and serial configurations depending on a system operating mode.

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