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公开(公告)号：US12230349B2
公开(公告)日：2025-02-18
申请号：US18129585
申请日：2023-03-31
Applicant: Micron Technology, Inc.
Inventor： Shashank Bangalore Lakshman , Jonathan D. Harms , Jonathan J. Strand , Sukneet Singh Basuta
Abstract: Methods, systems, and devices for imprint recovery management for memory systems are described. In some cases, memory cells may become imprinted, which may refer to conditions where a cell becomes predisposed toward storing one logic state over another, resistant to being written to a different logic state, or both. Imprinted memory cells may be recovered using a recovery or repair process that may be initiated according to various conditions, detections, or inferences. In some examples, a system may be configured to perform imprint recovery operations that are scaled or selected according to a characterized severity of imprint, an operational mode, environmental conditions, and other factors. Imprint management techniques may increase the robustness, accuracy, or efficiency with which a memory system, or components thereof, can operate in the presence of conditions associated with memory cell imprinting.
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公开(公告)号：US20240273388A1
公开(公告)日：2024-08-15
申请号：US18642101
申请日：2024-04-22
Applicant: MICRON TECHNOLOGY, INC.
Inventor： Yi Hu , Dmitry Vengertsev , Zahra Hosseinimakarem , Jonathan D. Harms
Abstract: An image or a spectrum of a surface may be acquired by a computing device, which may be included in a mobile device in some examples. The computing device may extract a measured spectrum from the image and generate a corrected spectrum of the surface. In some examples, the corrected spectrum may be generated to compensate for ambient light influence. The corrected spectrum may be analyzed to provide a result, such as a diagnosis or a product recommendation. In some examples, the result is based, at least in part, on a comparison of the corrected spectrum to reference spectra. In some examples, the result is based, at least in part, on an inference of a machine learning model.
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公开(公告)号：US11995567B2
公开(公告)日：2024-05-28
申请号：US17005036
申请日：2020-08-27
Applicant: MICRON TECHNOLOGY, INC.
Inventor： Yi Hu , Dmitry Vengertsev , Zahra Hosseinimakarem , Jonathan D. Harms
Abstract: An image or a spectrum of a surface may be acquired by a computing device, which may be included in a mobile device in some examples. The computing device may extract a measured spectrum from the image and generate a corrected spectrum of the surface. In some examples, the corrected spectrum may be generated to compensate for ambient light influence. The corrected spectrum may be analyzed to provide a result, such as a diagnosis or a product recommendation. In some examples, the result is based, at least in part, on a comparison of the corrected spectrum to reference spectra. In some examples, the result is based, at least in part, on an inference of a machine learning model.
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74.发明授权公开(公告)号：US11861493B2
公开(公告)日：2024-01-02
申请号：US16854107
申请日：2020-04-21
Applicant: MICRON TECHNOLOGY, INC.
Inventor： Dmitry Vengertsev , Zahra Hosseinimakarem , Jonathan D. Harms
IPC: G06N3/08 , G06N3/04 , G06F18/24 , G06F18/214 , G06V10/764 , G06V10/82
CPC classification number: G06N3/08 , G06F18/214 , G06F18/24 , G06N3/04 , G06V10/764 , G06V10/82
Abstract: Data may be abstracted and/or masked prior to being provided to a machine learning model for training. A machine learning model may provide a confidence level associated with a result. If the confidence level is too high, the machine learning model or an application including the machine learning model may refrain from providing the result as an output. In some examples, the machine learning model may provide a “second best” result that has an acceptable confidence level. In other examples, an error signal may be provided as the output. In accordance with examples of the present disclosure, data may be abstracted and/or masked prior to being provided to a machine learning model for training and confidence levels of results of the trained machine learning model may be used to determine when a result should be withheld.
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公开(公告)号：US20230253064A1
公开(公告)日：2023-08-10
申请号：US18129585
申请日：2023-03-31
Applicant: Micron Technology, Inc.
Inventor： Shashank Bangalore Lakshman , Jonathan D. Harms , Jonathan J. Strand , Sukneet Singh Basuta
CPC classification number: G11C29/50004 , G11C11/5628 , G11C11/5642 , G11C16/10 , G11C16/26 , G11C16/3427 , G11C29/50016 , G11C16/08 , G11C2029/5004
Abstract: Methods, systems, and devices for imprint recovery management for memory systems are described. In some cases, memory cells may become imprinted, which may refer to conditions where a cell becomes predisposed toward storing one logic state over another, resistant to being written to a different logic state, or both. Imprinted memory cells may be recovered using a recovery or repair process that may be initiated according to various conditions, detections, or inferences. In some examples, a system may be configured to perform imprint recovery operations that are scaled or selected according to a characterized severity of imprint, an operational mode, environmental conditions, and other factors. Imprint management techniques may increase the robustness, accuracy, or efficiency with which a memory system, or components thereof, can operate in the presence of conditions associated with memory cell imprinting.
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Patent Agency Ranking
公开(公告)号：US11557371B2
公开(公告)日：2023-01-17
申请号：US17241893
申请日：2021-04-27
Applicant: Micron Technology, Inc.
Inventor： Jonathan D. Harms , Jonathan J. Strand , Sukneet Singh Basuta , Shashank Bangalore Lakshman
Abstract: Methods, systems, and devices for imprint recovery for memory cells are described. In some cases, memory cells may become imprinted, which may refer to conditions where a cell becomes predisposed toward storing one logic state over another, resistant to being written to a different logic state, or both. Imprinted memory cells may be recovered using a recovery or repair process that may be initiated according to various conditions, detections, or inferences. In some examples, a system may be configured to perform imprint recovery operations that are scaled or selected according to a characterized severity of imprint, an operational mode, environmental conditions, and other factors. Imprint management techniques may increase the robustness, accuracy, or efficiency with which a memory system, or components thereof, can operate in the presence of conditions associated with memory cell imprinting.
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公开(公告)号：US20220269332A1
公开(公告)日：2022-08-25
申请号：US17740188
申请日：2022-05-09
Applicant: Micron Technology, Inc.
Inventor： Jonathan D. Harms
IPC: G06F1/3234 , G06F1/08 , G06F1/324 , G06F11/34 , G06F11/30 , G06F11/00 , G06F1/3206
Abstract: Methods and apparatus for using characterized devices such as memories. In one embodiment, characterized memories are associated with a range of performances over a range of operational parameters. The characterized memories can be used in conjunction with a solution density function to optimize memory searching. In one exemplary embodiment, a cryptocurrency miner can utilize characterized memories to generate memory hard proof-of-work (POW). The results may be further validated against general compute memories; such that only valid solutions are broadcasted to the mining community. In one embodiment, the validation mechanism is implemented for a plurality of searching apparatus in parallel to provide a more distributed and efficient approach. Various other applications for characterized memories are also described in greater detail herein (e.g., blockchain, social media, machine learning, probabilistic applications and other error-tolerant applications).
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公开(公告)号：US20220199155A1
公开(公告)日：2022-06-23
申请号：US17562598
申请日：2021-12-27
Applicant: Micron Technology, Inc.
Inventor： Jonathan J. Strand , Sukneet Singh Basuta , Shashank Bangalore Lakshman , Jonathan D. Harms
Abstract: Methods, systems, and devices for imprint recovery for memory arrays are described. In some cases, memory cells may become imprinted, which may refer to conditions where a cell becomes predisposed toward storing one logic state over another, resistant to being written to a different logic state, or both. Imprinted memory cells may be recovered using a recovery or repair process that may be initiated according to various conditions, detections, or inferences. In some examples, a system may be configured to perform imprint recovery operations that are scaled or selected according to a characterized severity of imprint, an operational mode, environmental conditions, and other factors. Imprint management techniques may increase the robustness, accuracy, or efficiency with which a memory system, or components thereof, can operate in the presence of conditions associated with memory cell imprinting.
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公开(公告)号：US20220171826A1
公开(公告)日：2022-06-02
申请号：US17675967
申请日：2022-02-18
Applicant: Micron Technology, Inc
Inventor： Jonathan D. Harms
IPC: G06F17/10 , G06F1/3234 , G06F1/3225 , G06F1/3296 , G06F1/08 , G06F11/00 , G11C29/52 , G06F11/34 , G06F11/07 , G11C29/06
Abstract: Methods and apparatus for using characterized devices such as memories. In one embodiment, characterized memories are associated with a range of performances over a range of operational parameters. The characterized memories can be used in conjunction with a solution density function to optimize memory searching. In one exemplary embodiment, a cryptocurrency miner can utilize characterized memories to generate memory hard proof-of-work (POW). The results may be further validated against general compute memories; such that only valid solutions are broadcasted to the mining community. In one embodiment, the validation mechanism is implemented for a plurality of searching apparatus in parallel to provide a more distributed and efficient approach. Various other applications for characterized memories are also described in greater detail herein (e.g., blockchain, social media, machine learning, probabilistic applications and other error-tolerant applications).
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公开(公告)号：US11327551B2
公开(公告)日：2022-05-10
申请号：US16276461
申请日：2019-02-14
Applicant: Micron Technology, Inc.
Inventor： Jonathan D. Harms
IPC: G06F1/3234 , G06F1/08 , G06F1/324 , G06F11/34 , G06F11/30 , G06F11/00 , G06F1/3206
Abstract: Methods and apparatus for using characterized devices such as memories. In one embodiment, characterized memories are associated with a range of performances over a range of operational parameters. The characterized memories can be used in conjunction with a solution density function to optimize memory searching. In one exemplary embodiment, a cryptocurrency miner can utilize characterized memories to generate memory hard proof-of-work (POW). The results may be further validated against general compute memories; such that only valid solutions are broadcasted to the mining community. In one embodiment, the validation mechanism is implemented for a plurality of searching apparatus in parallel to provide a more distributed and efficient approach. Various other applications for characterized memories are also described in greater detail herein (e.g., blockchain, social media, machine learning, probabilistic applications and other error-tolerant applications).
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