公开(公告)号：US11973525B2

公开(公告)日：2024-04-30

申请号：US18065062

申请日：2022-12-13

Applicant: MICRON TECHNOLOGY, INC.

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

IPC: H04B1/04 ,  H04B1/525 ,  H04L5/14

CPC classification number: H04B1/0475 ,  H04B1/525 ,  H04L5/14

Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of full duplex compensation with a self-interference noise calculator that compensates for the self-interference noise generated by power amplifiers at harmonic frequencies of a respective wireless receiver. The self-interference noise calculator may be coupled to antennas of a wireless device and configured to generate the adjusted signals that compensate self-interference. The self-interference noise calculator 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 self-interference noise calculator 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.

公开(公告)号：US11941518B2

公开(公告)日：2024-03-26

申请号：US16114923

申请日：2018-08-28

Applicant: MICRON TECHNOLOGY, INC.

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

IPC: G06N3/08 ,  G06N3/04 ,  G06N3/045 ,  H04W4/02 ,  H04W4/38 ,  H04W4/40 ,  H04W4/90

CPC classification number: G06N3/08 ,  G06N3/04 ,  G06N3/045 ,  H04W4/02 ,  H04W4/023 ,  H04W4/38 ,  H04W4/40 ,  H04W4/90

Abstract: Systems, methods, and apparatuses related to cooperative learning neural networks are described. Cooperative learning neural networks may include neural networks which utilize sensor data received wirelessly from at least one other wireless communication device to train the neural network. For example, cooperative learning neural networks described herein may be used to develop weights which are associated with objects or conditions at one device and which may be transmitted to a second device, where they may be used to train the second device to react to such objects or conditions. The disclosed features may be used in various contexts, including machine-type communication, machine-to-machine communication, device-to-device communication, and the like. The disclosed techniques may be employed in a wireless (e.g., cellular) communication system, which may operate according to various standardized protocols.

公开(公告)号：US11941516B2

公开(公告)日：2024-03-26

申请号：US15693142

申请日：2017-08-31

Applicant: MICRON TECHNOLOGY, INC.

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

IPC: G06N3/08 ,  G06N3/04 ,  G06N3/045 ,  H04W4/02 ,  H04W4/38 ,  H04W4/40 ,  H04W4/90

CPC classification number: G06N3/08 ,  G06N3/04 ,  G06N3/045 ,  H04W4/02 ,  H04W4/023 ,  H04W4/38 ,  H04W4/40 ,  H04W4/90

Abstract: Systems, methods, and apparatuses related to cooperative learning neural networks are described. Cooperative learning neural networks may include neural networks which utilize sensor data received wirelessly from at least one other wireless communication device to train the neural network. For example, cooperative learning neural networks described herein may be used to develop weights which are associated with objects or conditions at one device and which may be transmitted to a second device, where they may be used to train the second device to react to such objects or conditions. The disclosed features may be used in various contexts, including machine-type communication, machine-to-machine communication, device-to-device communication, and the like. The disclosed techniques may be employed in a wireless (e.g., cellular) communication system, which may operate according to various standardized protocols.

公开(公告)号：US20230394143A1

公开(公告)日：2023-12-07

申请号：US18104079

申请日：2023-01-31

Applicant: Micron Technology, Inc

Inventor： Aaron P. Boehm ,  David Hulton ,  Jeremy Chritz ,  Tamara Schmitz ,  Max S. Vohra

IPC: G06F21/55 ,  G06F21/57 ,  G06F21/79

CPC classification number: G06F21/556 ,  G06F21/575 ,  G06F21/79

Abstract: Methods, systems, and devices for protective actions for a memory device based on detecting an attack are described. In some systems, a memory device may detect whether a fault is injected into the memory device. The memory device may apply a delay during boot up if a fault is detected. To ensure the delay is applied, the memory device may default to applying the delay and may remove an indication to apply the delay if a fault is not detected. Additionally or alternatively, the memory device may erase information from non-volatile memory during boot up, for example, if a fault is detected. The memory device may be configured to ensure at least a specific portion of memory resources (e.g., resources configured to store sensitive information) is erased during boot up. In some examples, the memory device may store data using a stream cipher to improve security of the data.

公开(公告)号：US11665710B2

公开(公告)日：2023-05-30

申请号：US17190349

申请日：2021-03-02

Applicant: MICRON TECHNOLOGY, INC.

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

IPC: H04W72/04 ,  H04W88/08

CPC classification number: H04W72/0433 ,  H04W88/085 ,  Y02D30/70

Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of configuration modes for baseband units (BBU) and remote radio heads (RRH). For example, a computing system including a BBU and a RRH may receive a configuration mode selection including information indicative of a configuration mode for respective processing units of the BBU and the RRH. The computing system allocates the respective processing units to perform wireless processing stages associated with a wireless protocol. The BBU and/or the RRH may generate an output data stream based on the mixing of coefficient data with input data at the BBU and/or the RRH. Examples of systems and methods described herein may facilitate the processing of data for 5G wireless communications in a power-efficient and time-efficient manner.

公开(公告)号：US11658687B2

公开(公告)日：2023-05-23

申请号：US17394597

申请日：2021-08-05

Applicant: MICRON TECHNOLOGY, INC.

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

IPC: H04L27/04 ,  H04L27/12 ,  H04L27/20 ,  H04B1/00 ,  H04L27/26

CPC classification number: H04B1/0039 ,  H04L27/2601

Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of mixing input data with coefficient data. For example, a computing system with processing units may mix the input data for a transmission in a radio frequency (RF) wireless domain with the coefficient data to generate output data that is representative of the transmission being processed according to the wireless protocol in the RF wireless domain. A computing device may be trained to generate coefficient data based on the operations of a wireless transceiver such that mixing input data using the coefficient data generates an approximation of the output data, as if it were processed by the wireless transceiver. Examples of systems and methods described herein may facilitate the processing of data for 5G wireless communications in a power-efficient and time-efficient manner.

公开(公告)号：US11636285B2

公开(公告)日：2023-04-25

申请号：US17016074

申请日：2020-09-09

Applicant: MICRON TECHNOLOGY, INC.

Inventor： David Hulton ,  Jeremy Chritz ,  Tamara Schmitz

IPC: G06V10/00 ,  G06K9/62 ,  G06F9/30 ,  G06N3/08

Abstract: Examples of systems and method described herein provide for the processing of image codes (e.g., a binary embedding) at a memory die. Such images codes may generated by various endpoint computing devices, such as Internet of Things (IoT) computing devices, Such devices can generate a Hamming processing command, having an image code of the image, to compare that representation of the image to other images (e.g., in an image dataset) to identify a match or a set of neural network results. Advantageously, examples described herein may be used in neural networks to facilitate the processing of datasets, so as to increase the rate and amount of processing of such datasets. For example, comparisons of image codes can be performed on a memory die itself, like a memory die of a NAND memory device.

公开(公告)号：US11609853B2

公开(公告)日：2023-03-21

申请号：US17016053

申请日：2020-09-09

Applicant: MICRON TECHNOLOGY, INC.

Inventor： David Hulton ,  Jeremy Chritz ,  Tamara Schmitz

IPC: G06F12/0802 ,  G06F13/16

Abstract: Examples of systems and method described herein provide for the processing of image codes (e.g., a binary embedding) at a memory controller with various memory devices. Such images codes may generated by various endpoint computing devices, such as Internet of Things (IoT) computing devices, Such devices can generate a Hamming processing request, having an image code of the image, to compare that representation of the image to other images (e.g., in an image dataset) to identify a match or a set of neural network results. Advantageously, examples described herein may be used in neural networks to facilitate the processing of datasets, so as to increase the rate and amount of processing of such datasets. For example, comparisons of image codes can be performed “closer” to the memory devices, e.g., at the memory controller coupled to memory devices.

公开(公告)号：US11586380B2

公开(公告)日：2023-02-21

申请号：US17016023

申请日：2020-09-09

Applicant: MICRON TECHNOLOGY, INC.

Inventor： David Hulton ,  Jeremy Chritz ,  Tamara Schmitz

IPC: G06K9/62 ,  G06F3/06 ,  G06F13/16 ,  H04L9/06 ,  G06N3/08

Abstract: Examples of systems and method described herein provide for the processing of image codes (e.g., a binary embedding) at a memory system including a Hamming processing unit. Such images codes may generated by various endpoint computing devices, such as Internet of Things (IoT) computing devices, Such devices can generate a Hamming processing request, having an image code of the image, to compare that representation of the image to other images (e.g., in an image dataset) to identify a match or a set of neural network results. Advantageously, examples described herein may be used in neural networks to facilitate the processing of datasets, so as to increase the rate and amount of processing of such datasets. For example, comparisons of image codes can be performed “closer” to the memory devices, e.g., at a processing unit having memory devices.

公开(公告)号：US11573903B2

公开(公告)日：2023-02-07

申请号：US16864437

申请日：2020-05-01

Applicant: MICRON TECHNOLOGY, INC.

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

IPC: G06F12/10 ,  G06F12/02

Abstract: Examples described herein include systems and methods which include an apparatus comprising a memory array including a plurality of memory cells and a memory controller coupled to the memory array. The memory controller comprises a memory mapper configured to configure a memory map on the basis of a memory command associated with a memory access operation. The memory map comprises a specific sequence of memory access instructions to access at least one memory cell of the memory array. For example, the specific sequence of memory access instructions for a diagonal memory command comprises a sequence of memory access instructions that each access a memory cell along a diagonal of the memory array.