公开(公告)号：US20210056315A1

公开(公告)日：2021-02-25

申请号：US16547185

申请日：2019-08-21

Applicant: Micron Technology, Inc.

Inventor： Poorna Kale ,  Robert Richard Noel Bielby

IPC: G06K9/00 ,  G06N3/08 ,  G06K9/62 ,  H04N7/18 ,  G05B13/02 ,  G05D1/00 ,  G05D1/02 ,  B60R25/30 ,  B60R25/102

Abstract: Systems, methods and apparatus of vehicle security operations during parking. For example, a vehicle includes: a proximity sensor configured to detect presence of an object approaching the vehicle when the vehicle is in a parking state; at least one camera configured to monitor surroundings of the vehicle when the vehicle is in the parking state; and an artificial neural network configured to extract identification information of the object from images generated by the camera and determine a security classification of the presence of the object. The identification information is stored in the vehicle and/or transmitted to a server or a mobile device, in response to the security classification being in a predefined category.

公开(公告)号：US20210049839A1

公开(公告)日：2021-02-18

申请号：US16538006

申请日：2019-08-12

Applicant: Micron Technology, Inc.

Inventor： Robert Richard Noel Bielby ,  Poorna Kale

IPC: G07C5/08 ,  G06N3/04 ,  G06N3/08

Abstract: Systems, methods and apparatus of predictive maintenance of vehicles. For example, one or more sensors are configured to generate a sensor data stream during operations of the vehicle on a road. An artificial neural network (ANN) configured to receive the sensor data stream and predict a maintenance service based on the sensor data stream. For example, the artificial neural network can be trained using the sensor data stream collected within a predetermined time period of the vehicle leaving a factory or a maintenance service facility. The vehicle can be considered to be operating in a normal condition during such a period of time such that the ANN can be trained to detect anomaly that deviates from the normal patterns of the sensor data stream. For example, the ANN can be a spiking neural network (SNN).

公开(公告)号：US20210049457A1

公开(公告)日：2021-02-18

申请号：US16538078

申请日：2019-08-12

Applicant: Micron Technology, Inc.

Inventor： Robert Richard Noel Bielby ,  Poorna Kale

IPC: G06N3/08 ,  G06N5/04 ,  G06N3/04 ,  G06F3/06 ,  G06F12/02

Abstract: Systems, methods and apparatus of optimizing neural network computations of predictive maintenance of vehicles. For example, a data storage device of a vehicle includes: a host interface configured to receive a sensor data stream from at least one sensor configured on the vehicle; at least one storage media component having a non-volatile memory; and a controller. The non-volatile memory is configured into multiple partitions (e.g., namespaces) having different sets of memory operation settings configured for different types of data related to an artificial neural network (ANN). The partitions include an output partition configured to store output data from the ANN. The sensor data stream is applied in the ANN to predict a maintenance service of the vehicle. The memory units of the input partition can be configured for cyclic sequential overwrite of selected outputs that are updated less frequently than inputs to the ANN.

公开(公告)号：US20160103627A1

公开(公告)日：2016-04-14

申请号：US14921877

申请日：2015-10-23

Applicant: MICRON TECHNOLOGY, INC.

Inventor： Gerald Barkley ,  Poorna Kale

IPC: G06F3/06

CPC classification number: G06F3/0629 ,  G06F3/0604 ,  G06F3/0679 ,  G11C13/0004 ,  G11C13/0038 ,  G11C13/0069 ,  G11C14/009 ,  G11C16/10 ,  G11C16/102 ,  G11C16/20 ,  G11C16/30

Abstract: Methods and systems are provided that may include a nonvolatile memory to store information, where the nonvolatile memory is associated with a configuration register to indicate a write speed setting for at least one write operation to the nonvolatile memory. A circuit may supply current to achieve an indicated write speed setting for the at least one write operation to the nonvolatile memory.

Abstract translation: 提供了可以包括用于存储信息的非易失性存储器的方法和系统，其中非易失性存储器与配置寄存器相关联，以指示对非易失性存储器进行至少一次写入操作的写入速度设置。 电路可以提供电流以实现用于对非易失性存储器的至少一个写入操作的指​​示的写入速度设置。

公开(公告)号：US12266184B2

公开(公告)日：2025-04-01

申请号：US17940929

申请日：2022-09-08

Applicant: Micron Technology, Inc.

Inventor： Poorna Kale

IPC: G06V20/52 ,  H04N23/617 ,  H04N23/667 ,  H04N25/60 ,  H04N25/78 ,  H04N25/79

Abstract: A surveillance camera having: an image sensing pixel array operable to generate first data representative of an input image; a memory cell array having memory cells, wherein threshold voltages of the memory cells are programmable in a first mode to store weight matrices and programmable in a second mode to store second data representative of an output image generated from the input image; voltage drivers; current digitizers; an inference logic circuit operable to perform operations of multiplication and accumulation using the voltage drivers, the current digitizers, and a first portion of the memory cells programmed in the first mode to store the weight matrices used in generation of the output image; a transceiver; and a microprocessor configured to use the transceiver to communicate, to a computer system, a report identifying the output image stored in the memory cell array.

公开(公告)号：US20250045042A1

公开(公告)日：2025-02-06

申请号：US18767789

申请日：2024-07-09

Applicant: Micron Technology, Inc.

Inventor： Saideep Tiku ,  Poorna Kale

IPC: G06F8/658 ,  G06F8/71 ,  G06N3/086 ,  G06N3/092

Abstract: Machine learning based firmware optimization can include iteratively producing different versions of firmware for operating a physical memory device within a respective defined acceptable range of values for different operational parameters. Iteratively producing different versions of firmware can include deploying an initial version of firmware on a digital twin of the physical memory device, determining an initial value of a performance parameter based on operation of the digital twin according to the initial version of firmware, producing a modified version of firmware, deploying the modified version of firmware on the digital twin, and determining a next value of the performance parameter based on operation of the digital twin according to the modified version of firmware. One of the different versions of firmware that achieves a target value for the performance parameter can be provided for deployment on the physical memory device.

公开(公告)号：US20250021398A1

公开(公告)日：2025-01-16

申请号：US18767593

申请日：2024-07-09

Applicant: Micron Technology, Inc.

Inventor： Febin Sunny ,  Poorna Kale

IPC: G06F9/50 ,  G06F11/30

Abstract: Updating a distribution of voltage-conductance points for artificial neural networks can include receiving, at an accelerator, such as a MAC unit, information corresponding to a memory array of the MAC unit. A plurality of parameters of the ANN can be received. The distribution of voltage-conductance points can be identified utilizing the plurality of parameters and based on the information corresponding to the memory array. The distribution of voltage-conductance points correspond to discernable conductance levels and a subset of the plurality of parameters. The ANN can be stored in the MAC unit based on the discernable conductance levels.

公开(公告)号：US12189505B2

公开(公告)日：2025-01-07

申请号：US17970183

申请日：2022-10-20

Applicant: Micron Technology, Inc.

Inventor： Poorna Kale

IPC: G06F12/02 ,  G06F11/30 ,  G06N20/00 ,  G11C11/56

Abstract: A system includes a memory device with microbumps and a processing device. The processing device is operatively coupled with the memory device to perform operations. The operations include receiving information indicating a current condition of the machine learning operation while data for the machine learning operation is being transmitted using a first set of microbumps of the plurality of microbumps. Furthermore, the operations include, in response to a change in the condition of the machine learning operation, transmitting subsequent data using a second set of microbumps of the plurality of microbumps, wherein a number of microbumps included in the second set of microbumps is based on the received information.

公开(公告)号：US20240422368A1

公开(公告)日：2024-12-19

申请号：US18823494

申请日：2024-09-03

Applicant: Micron Technology, Inc.

Inventor： Poorna Kale ,  Te-Chang Lin

IPC: H04N21/2343 ,  G06F9/30 ,  G06F13/38 ,  G06N3/02 ,  G06N3/049 ,  G06N3/08 ,  G06V10/764 ,  G06V10/82 ,  G06V20/52 ,  H04N19/46 ,  H04N19/50 ,  H04N19/70

Abstract: Systems, devices, and methods related to a deep learning accelerator and memory are described. For example, a removable media (e.g., a memory card, or a USB drive) may be configured to execute instructions with matrix operands and configured with: an interface to receive a video stream; and random access memory to buffer a portion of the video stream as an input to an artificial neural network and to store instructions executable by the deep learning accelerator and matrices of the artificial neural network. Such a removable media can be used to replace an existing removable media used in a surveillance camera to record video or images. The deep learning accelerator can execute the instructions to generate analytics of the buffer portion using the artificial neural network, enabling the surveillance camera that is upgraded via the use of the removable media to provide intelligent services based on the analytics.

公开(公告)号：US20240370393A1

公开(公告)日：2024-11-07

申请号：US18604318

申请日：2024-03-13

Applicant: Micron Technology, Inc.

Inventor： Saideep Tiku ,  Febin Sunny ,  Poorna Kale

IPC: G06F13/28 ,  G06F3/06

Abstract: A computing system having a photonic interconnect configured between a memory sub-system having a plurality of memory islands and a host system running one or more applications using memory provide by an active subset of the memory islands. The memory sub-system includes a direct memory access controller operable to transfer data between the other memory islands of the memory sub-system, while the host system runs on the active subset. The photonic interconnect can be configured to distribute its communication bandwidth to the active subset without being effected by the direct memory access operations performed on memory islands outside of the active subset.