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    SYSTEMS FOR ESTIMATING BIT ERROR RATE (BER) OF ENCODED DATA USING NEURAL NETWORKS
    72.
    发明申请
    SYSTEMS FOR ESTIMATING BIT ERROR RATE (BER) OF ENCODED DATA USING NEURAL NETWORKS 有权

    公开(公告)号：US20230115877A1

    公开(公告)日：2023-04-13

    申请号：US17496703

    申请日：2021-10-07

    Applicant: Micron Technology, Inc.

    Inventor： Fa-Long Luo ,  Jaime Cummins

    IPC: G06F11/10 ,  G06N3/04

    Abstract: Examples described herein utilize multi-layer neural networks, such as multi-layer recurrent neural networks, to estimate a bit error rate (BER) of encoded data based on a retrieved version of encoded data (e.g., data encoded using one or more encoding techniques) from a memory. The neural networks may have nonlinear mapping and distributed processing capabilities which may be advantageous to estimate a BER of encoded data, e.g., to facilitate decoding of the encoded data. In this manner, neural networks described herein may be used to improve or facilitate aspects of decoding at ECC decoders, e.g., by comparing an estimated BER to a threshold (e.g., a threshold BER level) prior to decoding of the encoded data. For example, an additional NN activation indication may be provided, e.g., to indicate that the encoded data may be decoded or to indicate that error present in the encoded data is to be reduced.

    Wireless devices and systems including examples of compensating power amplifier noise with neural networks or recurrent neural networks
    73.
    发明授权
    Wireless devices and systems including examples of compensating power amplifier noise with neural networks or recurrent neural networks 有权

    公开(公告)号：US11601146B2

    公开(公告)日：2023-03-07

    申请号：US17211639

    申请日：2021-03-24

    Applicant: MICRON TECHNOLOGY, INC.

    Inventor： Fa-Long Luo

    IPC: H04B1/04 ,  H03F3/20 ,  G06N3/04

    Abstract: Examples described herein include methods, devices, and systems which may compensate input data for nonlinear power amplifier noise to generate compensated input data. In compensating the noise, during an uplink transmission time interval (TTI), a switch path is activated to provide amplified input data to a receiver stage including a recurrent neural network (RNN). The RNN may calculate an error representative of the noise based partly on the input signal to be transmitted and a feedback signal to generate filter coefficient data associated with the power amplifier noise. The feedback signal is provided, after processing through the receiver, to the RNN. During an uplink TTI, the amplified input data may also be transmitted as the RF wireless transmission via an RF antenna. During a downlink TTI, the switch path may be deactivated and the receiver stage may receive an additional RF wireless transmission to be processed in the receiver stage.

    Self interference noise cancellation to support multiple frequency bands with neural networks or recurrent neural networks
    75.
    发明授权
    Self interference noise cancellation to support multiple frequency bands with neural networks or recurrent neural networks 有权

    公开(公告)号：US11569851B2

    公开(公告)日：2023-01-31

    申请号：US17647640

    申请日：2022-01-11

    Applicant: MICRON TECHNOLOGY, INC.

    Inventor： Fa-Long Luo

    IPC: H04B1/10 ,  G06N3/04 ,  H04B7/0413

    Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of multiple frequency bands transmission with a recurrent neural network that compensates for the self-interference noise generated by power amplifiers at harmonic frequencies of a respective wireless receiver. The recurrent neural network may be coupled to antennas of a wireless device and configured to generate the adjusted signals that compensate self-interference. The recurrent neural network may include a network of processing elements configured to combine transmission signals into sets of intermediate results. Each set of intermediate results may be summed in the recurrent neural network to generate a corresponding adjusted signal. The adjusted signal is receivable by a corresponding wireless receiver to compensate for the self-interference noise generated by a wireless transmitter transmitting on the same or different frequency band as the wireless receiver is receiving.

    Systems for error reduction of encoded data using neural networks
    76.
    发明授权
    Systems for error reduction of encoded data using neural networks 有权

    公开(公告)号：US11563449B2

    公开(公告)日：2023-01-24

    申请号：US17302228

    申请日：2021-04-27

    Applicant: MICRON TECHNOLOGY, INC.

    Inventor： Fa-Long Luo ,  Jaime Cummins

    IPC: H03M13/37 ,  G06F7/544 ,  G06N3/08

    Abstract: Examples described herein utilize multi-layer neural networks, such as multi-layer recurrent neural networks to estimate an error-reduced version of encoded data based on a retrieved version of encoded data (e.g., data encoded using one or more encoding techniques) from a memory. The neural networks and/or recurrent neural networks may have nonlinear mapping and distributed processing capabilities which may be advantageous in many systems employing a neural network or recurrent neural network to estimate an error-reduced version of encoded data for an error correction coding (ECC) decoder, e.g., to facilitate decoding of the error-reduced version of encoded data at the decoder. In this manner, neural networks or recurrent neural networks described herein may be used to improve or facilitate aspects of decoding at ECC decoders, e.g., by reducing errors present in encoded data due to storage or transmission.

    METHODS AND APPARATUS FOR PERFORMING VIDEO PROCESSING MATRIX OPERATIONS WITHIN A MEMORY ARRAY
    77.
    发明申请
    METHODS AND APPARATUS FOR PERFORMING VIDEO PROCESSING MATRIX OPERATIONS WITHIN A MEMORY ARRAY 有权

    公开(公告)号：US20230014169A1

    公开(公告)日：2023-01-19

    申请号：US17948126

    申请日：2022-09-19

    Applicant: Micron Technology, Inc.

    Inventor： Fa-Long Luo

    IPC: G06F17/16 ,  G06F17/14 ,  G11C11/4094 ,  G06F12/02 ,  G06F1/03

    Abstract: Methods and apparatus for performing video processmg matrix operations within a memory fabric. Various embodiments of the present disclosure are directed to converting a memory array into a matrix fabric for discrete cosine transform (DCT) matrix transformations and performing DCT matrix operations therein. Exemplary embodiments described herein perform DCT matrix-matrix multiplication operations within a memory device that includes a matrix fabric and matrix multiplication unit (MMU). In one embodiment, matrix-matrix multiplication operations are obtained using separate matrix-vector products. In one exemplary embodiment, the matrix fabric uses a “crossbar” construction of resistive elements. Each resistive element stores a level of impedance that represents the corresponding matrix coefficient value. The crossbar connectivity can be driven with an electrical signal representing the input vector as an analog voltage. The resulting signals can be converted from analog voltages to a digital values by an MMU to yield a vector-matrix product. In some cases, the MMU may additionally perform various other logical operations within the digital domain.

    MEMORY POOLING BETWEEN SELECTED MEMORY RESOURCES
    78.
    发明申请
    MEMORY POOLING BETWEEN SELECTED MEMORY RESOURCES 有权

    公开(公告)号：US20230004444A1

    公开(公告)日：2023-01-05

    申请号：US17943148

    申请日：2022-09-12

    Applicant: Micron Technology, Inc.

    Inventor： Aaron P. Boehm ,  Glen E. Hush ,  Fa-Long Luo

    IPC: G06F9/50 ,  G06F12/02 ,  G06F12/14

    Abstract: Apparatuses, systems, and methods related to memory pooling between selected memory resources are described. A system using a memory pool formed as such may enable performance of functions, including automated functions critical for prevention of damage to a product, personnel safety, and/or reliable operation, based on increased access to data that may improve performance of a mission profile. For instance, one apparatus described herein includes a memory resource, a processing resource coupled to the memory resource, and a transceiver resource coupled to the processing resource. The memory resource, the processing resource, and the transceiver resource are configured to enable formation of a memory pool between the memory resource and another memory resource at another apparatus responsive to a request to access the other memory resource transmitted from the processing resource via the transceiver.

    MEMORY DEVICES AND METHODS WHICH MAY FACILITATE TENSOR MEMORY ACCESS
    79.
    发明申请
    MEMORY DEVICES AND METHODS WHICH MAY FACILITATE TENSOR MEMORY ACCESS 有权

    公开(公告)号：US20220398190A1

    公开(公告)日：2022-12-15

    申请号：US17888748

    申请日：2022-08-16

    Applicant: Micron Technology, Inc.

    Inventor： Fa-Long Luo ,  Jaime Cummins ,  Tamara Schmitz ,  Jeremy Chritz

    IPC: G06F12/02 ,  G06F12/0893 ,  G06F12/0864

    Abstract: Methods, apparatuses, and systems for tensor memory access are described. Multiple data located in different physical addresses of memory may be concurrently read or written by, for example, employing various processing patterns of tensor or matrix related computations. A memory controller, which may comprise a data address generator, may be configured to generate a sequence of memory addresses for a memory access operation based on a starting address and a dimension of a tensor or matrix. At least one dimension of a tensor or matrix may correspond to a row, a column, a diagonal, a determinant, or an Nth dimension of the tensor or matrix. The memory controller may also comprise a buffer configured to read and write the data generated from or according to a sequence of memory of addresses.

    Wireless devices and systems including examples of compensating power amplifier noise
    80.
    发明授权
    Wireless devices and systems including examples of compensating power amplifier noise 有权

    公开(公告)号：US11528043B2

    公开(公告)日：2022-12-13

    申请号：US17162992

    申请日：2021-01-29

    Applicant: MICRON TECHNOLOGY, INC.

    Inventor： Fa-Long Luo ,  Jeremy Chritz ,  Jaime Cummins ,  Tamara Schmitz

    IPC: H04B1/04 ,  H04L1/00 ,  H03M13/15 ,  H04L5/14 ,  H04L5/00 ,  H04B1/12 ,  H04B1/525

    Abstract: Examples described herein include methods, devices, and systems which may compensate input data for non-linear power amplifier noise to generate compensated input data. In compensating the noise, during an uplink transmission time interval (TTI), a switch path is activated to provide amplified input data to a receiver stage including a coefficient calculator. The coefficient calculator may calculate an error representative of the noise based partly on the input signal to be transmitted and a feedback signal to generate coefficient data associated with the power amplifier noise. The feedback signal is provided, after processing through the receiver, to a coefficient calculator. During an uplink TTI, the amplified input data may also be transmitted as the RF wireless transmission via an RF antenna. During a downlink TTI, the switch path may be deactivated and the receiver stage may receive an additional RF wireless transmission to be processed in the receiver stage.

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