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公开(公告)号：US20210390087A1
公开(公告)日：2021-12-16
申请号：US17356475
申请日：2021-06-23
Applicant: Apple Inc.
Inventor： Stephen C. PETERS , Kit-Man WAN , Gaurav KAPOOR
IPC: G06F16/23 , G06F3/0482 , G06F3/0488 , G06F3/0481 , G06F3/0484
Abstract: This application relates to features for a mobile device that allow the mobile device to assign utility values to applications and thereafter suggest applications for a user to execute. The suggested application can be derived from a list of applications that have been assigned a utility by software in the mobile device. The utility assignment of the individual applications from the list of applications can be performed based on the occurrence of an event, an environmental change, or a period of frequent application usage. A feedback mechanism is provided in some embodiments for more accurately assigning a utility to particular applications. The feedback mechanism can track what a user does during a period of suggestion for certain applications and thereafter modify the utility of applications based on what applications a user selects during the period of suggestion.
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公开(公告)号：US20150347488A1
公开(公告)日：2015-12-03
申请号：US14501000
申请日：2014-09-29
Applicant: Apple Inc.
Inventor： Stephen C. PETERS , Kit-Man WAN , Gaurav KAPOOR
IPC: G06F17/30 , G06F3/0484 , G06F3/0481
CPC classification number: G06F17/30345 , G06F3/04817 , G06F3/0482 , G06F3/04842 , G06F3/04847 , G06F3/04883
Abstract: This application relates to features for a mobile device that allow the mobile device to assign utility values to applications and thereafter suggest applications for a user to execute. The suggested application can be derived from a list of applications that have been assigned a utility by software in the mobile device. The utility assignment of the individual applications from the list of applications can be performed based on the occurrence of an event, an environmental change, or a period of frequent application usage. A feedback mechanism is provided in some embodiments for more accurately assigning a utility to particular applications. The feedback mechanism can track what a user does during a period of suggestion for certain applications and thereafter modify the utility of applications based on what applications a user selects during the period of suggestion.
Abstract translation: 该应用涉及移动设备的特征，其允许移动设备将应用值分配给应用，然后向用户建议应用以执行。 建议的应用程序可以从已经由移动设备中的软件分配实用程序的应用程序列表中导出。 可以根据事件发生，环境变化或频繁使用应用的周期来执行应用列表中各个应用的实用程序分配。 在一些实施例中提供反馈机制以更准确地将实用程序分配给特定应用。 反馈机制可以跟踪用户在特定应用的建议期间所做的工作，然后根据用户在建议期间选择的应用来修改应用的实用性。
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公开(公告)号：US20230177350A1
公开(公告)日：2023-06-08
申请号：US17903991
申请日：2022-09-06
Applicant: Apple Inc.
Inventor： Gaurav KAPOOR , Cecile M. FORET , Francesco ROSSI , Kit-Man WAN , Umesh S. VAISHAMPAYAN , Etienne BELANGER , Albert ANTONY , Alexey MARINICHEV , Marco ZULIANI , Xiaojin SHI
CPC classification number: G06N3/10 , G06N3/08 , G06N3/04 , G06F8/443 , G06F8/41 , G06F8/4441 , G06N3/063 , G06F9/50
Abstract: The subject technology provides receiving a neural network (NN) model to be executed on a target platform, the NN model including multiple layers that include operations and some of the operations being executable on multiple processors of the target platform. The subject technology further sorts the operations from the multiple layers in a particular order based at least in part on grouping the operations that are executable by a particular processor of the multiple processors. The subject technology determines, based at least in part on a cost of transferring the operations between the multiple processors, an assignment of one of the multiple processors for each of the sorted operations of each of the layers in a manner that minimizes a total cost of executing the operations. Further, for each layer of the NN model, the subject technology includes an annotation to indicate the processor assigned for each of the operations.
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公开(公告)号：US20170249344A1
公开(公告)日：2017-08-31
申请号：US15374946
申请日：2016-12-09
Applicant: Apple Inc.
Inventor： Stephen C. PETERS , Kit-Man WAN , Gaurav KAPOOR
IPC: G06F17/30 , G06F3/0484 , G06F3/0488 , G06F3/0481 , G06F3/0482
CPC classification number: G06F16/23 , G06F3/04817 , G06F3/0482 , G06F3/04842 , G06F3/04847 , G06F3/04883
Abstract: This application relates to features for a mobile device that allow the mobile device to assign utility values to applications and thereafter suggest applications for a user to execute. The suggested application can be derived from a list of applications that have been assigned a utility by software in the mobile device. The utility assignment of the individual applications from the list of applications can be performed based on the occurrence of an event, an environmental change, or a period of frequent application usage. A feedback mechanism is provided in some embodiments for more accurately assigning a utility to particular applications. The feedback mechanism can track what a user does during a period of suggestion for certain applications and thereafter modify the utility of applications based on what applications a user selects during the period of suggestion.
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公开(公告)号：US20210397957A1
公开(公告)日：2021-12-23
申请号：US17349843
申请日：2021-06-16
Applicant: Apple Inc.
Inventor： Umesh S. VAISHAMPAYAN , Kit-Man WAN , Aaftab A. MUNSHI , Cecile M. FORET , Yen-Fu LIU
Abstract: The subject technology provides a framework for multi-processor training of neural networks. Multi-processor training of neural networks can include performing a forward pass of a training iteration using a neural processor, and performing a backward pass of the training iteration using a CPU or a GPU. Additional operations for facilitating the multi-processor training are disclosed.
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Patent Agency Ranking
公开(公告)号：US20200034725A1
公开(公告)日：2020-01-30
申请号：US16538706
申请日：2019-08-12
Applicant: Apple Inc.
Inventor： Binu K. MATHEW , Kit-Man WAN , Gaurav KAPOOR
Abstract: Disclosed herein is a technique for implementing a framework that enables application developers to enhance their applications with dynamic adjustment capabilities. Specifically, the framework, when utilized by an application on a mobile computing device that implements the framework, can enable the application to establish predictive models that can be used to identify meaningful behavioral patterns of an individual who uses the application. In turn, the predictive models can be used to preempt the individual's actions and provide an enhanced overall user experience. The framework is configured to interface with other software entities on the mobile computing device that conduct various analyses to identify appropriate times for the application to manage and update its predictive models. Such appropriate times can include, for example, identified periods of time where the individual is not operating the mobile computing device, as well as recognized conditions where power consumption is not a concern.
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公开(公告)号：US20210398021A1
公开(公告)日：2021-12-23
申请号：US17347563
申请日：2021-06-14
Applicant: Apple Inc.
Inventor： Umesh S. VAISHAMPAYAN , Gaurav KAPOOR , Kit-Man WAN
IPC: G06N20/00
Abstract: A device implementing a system to execute machine learning models from memory includes at least one processor configured to receive a request to provide an input to one or more machine learning (ML) models arranged into a graph of connected layers, the one or more ML models stored in the first type of memory. The at least one processor is further configured to divide the graph of connected layers into a plurality of segments such that at least two of the plurality of segments concurrently fits within allocated space of the second type of memory. The at least one processor is further configured to cause the input to be processed through the first segment of the plurality of segments using the second type of memory while a second segment of the plurality of segments is concurrently loaded from the first type of memory into the second type of memory.
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公开(公告)号：US20150347907A1
公开(公告)日：2015-12-03
申请号：US14500985
申请日：2014-09-29
Applicant: Apple Inc.
Inventor： Binu K. MATHEW , Kit-Man WAN , Gaurav KAPOOR
Abstract: Disclosed herein is a technique for implementing a framework that enables application developers to enhance their applications with dynamic adjustment capabilities. Specifically, the framework, when utilized by an application on a mobile computing device that implements the framework, can enable the application to establish predictive models that can be used to identify meaningful behavioral patterns of an individual who uses the application. In turn, the predictive models can be used to preempt the individual's actions and provide an enhanced overall user experience. The framework is configured to interface with other software entities on the mobile computing device that conduct various analyses to identify appropriate times for the application to manage and update its predictive models. Such appropriate times can include, for example, identified periods of time where the individual is not operating the mobile computing device, as well as recognized conditions where power consumption is not a concern.
Abstract translation: 这里公开了一种用于实现框架的技术，其使应用开发者能够通过动态调整功能来增强其应用。 具体地说，该框架当被实施框架的移动计算设备上的应用程序使用时，可以使应用程序能够建立可用于识别使用该应用程序的个人的有意义的行为模式的预测模型。 反过来，预测模型可以用于抢占个人的行为并提供增强的整体用户体验。 该框架被配置为与移动计算设备上的其他软件实体进行接口，进行各种分析以确定应用程序管理和更新其预测模型的适当时间。 这种适当的时间可以包括例如个体不操作移动计算设备的识别的时间段以及功率消耗不是关注的公认条件。
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公开(公告)号：US20240362199A1
公开(公告)日：2024-10-31
申请号：US18766360
申请日：2024-07-08
Applicant: Apple Inc.
Inventor： Stephen C. PETERS , Kit-Man WAN , Gaurav KAPOOR
IPC: G06F16/23 , G06F3/04817 , G06F3/0482 , G06F3/04842 , G06F3/04847 , G06F3/04883
CPC classification number: G06F16/23 , G06F3/04817 , G06F3/0482 , G06F3/04842 , G06F3/04847 , G06F3/04883
Abstract: This application relates to features for a mobile device that allow the mobile device to assign utility values to applications and thereafter suggest applications for a user to execute. The suggested application can be derived from a list of applications that have been assigned a utility by software in the mobile device. The utility assignment of the individual applications from the list of applications can be performed based on the occurrence of an event, an environmental change, or a period of frequent application usage. A feedback mechanism is provided in some embodiments for more accurately assigning a utility to particular applications. The feedback mechanism can track what a user does during a period of suggestion for certain applications and thereafter modify the utility of applications based on what applications a user selects during the period of suggestion.
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公开(公告)号：US20200082274A1
公开(公告)日：2020-03-12
申请号：US16262809
申请日：2019-01-30
Applicant: Apple Inc.
Inventor： Francesco ROSSI , Cecile M. FORET , Gaurav KAPOOR , Kit-Man WAN , Umesh S. VAISHAMPAYAN , Etienne BELANGER , Albert ANTONY , Alexey MARINICHEV , Marco ZULIANI , Xiaojin SHI
Abstract: The subject technology provides receiving a neural network (NN) model to be executed on a target platform, the NN model including multiple layers that include operations and some of the operations being executable on multiple processors of the target platform. The subject technology further sorts the operations from the multiple layers in a particular order based at least in part on grouping the operations that are executable by a particular processor of the multiple processors. The subject technology determines, based at least in part on a cost of transferring the operations between the multiple processors, an assignment of one of the multiple processors for each of the sorted operations of each of the layers in a manner that minimizes a total cost of executing the operations. Further, for each layer of the NN model, the subject technology includes an annotation to indicate the processor assigned for each of the operations.
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