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公开(公告)号：US20160360488A1
公开(公告)日：2016-12-08
申请号：US14846678
申请日：2015-09-04
Applicant: APPLE INC.
Inventor： Gaurav Kapoor , Andrei Dorofeev , Varaprasad V. Lingutla , Cyril de la Cropte de Chanterac
IPC: H04W52/02
CPC classification number: H04W52/0264 , G06F21/31 , G06F2221/2105 , H04W52/0251 , H04W52/0254 , Y02D70/00 , Y02D70/1224 , Y02D70/142 , Y02D70/144 , Y02D70/146 , Y02D70/164 , Y02D70/26
Abstract: An example computer-implemented method includes determining, by an electronic device, that the electronic device has not received a user activity for an interval of time. The method also includes determining, by the electronic device, a contextual state of the electronic device, and adapting, by the electronic device, a sleep delay value based on the determined contextual state of the electronic device. The method also includes determining that the interval of time has exceeded the sleep delay value, and responsive to determining that the interval of time has exceeded the sleep delay value, transitioning, by the electronic device, from a first power state to a second power state, where the first power state is higher or lower than the second power state.
Abstract translation: 计算机实现的示例的示例包括通过电子设备确定电子设备在一段时间内尚未接收到用户活动。 该方法还包括由电子设备确定电子设备的上下文状态，以及基于所确定的电子设备的上下文状态，通过电子设备调整睡眠延迟值。 该方法还包括确定时间间隔已经超过睡眠延迟值，并且响应于确定时间间隔已经超过睡眠延迟值，由电子设备从第一功率状态转换到第二功率状态 ，其中第一功率状态高于或低于第二功率状态。
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公开(公告)号：US09432839B2
公开(公告)日：2016-08-30
申请号：US14503253
申请日：2014-09-30
Applicant: Apple Inc.
Inventor： Phillip Stanley-Marbell , Gaurav Kapoor , Umesh S. Vaishampayan
CPC classification number: H04W8/22 , G06F1/206 , G06F1/3206 , G06F1/329 , G06F9/542 , H04M1/72569 , Y02D10/24
Abstract: In some implementations, a mobile device can be configured to monitor environmental, system and user events associated with the mobile device and/or a peer device. The occurrence of one or more events can trigger adjustments to system settings. The mobile device can be configured to keep frequently invoked applications up to date based on a forecast of predicted invocations by the user. In some implementations, the mobile device can receive push notifications associated with applications that indicate that new content is available for the applications to download. The mobile device can launch the applications associated with the push notifications in the background and download the new content. In some implementations, before running an application or communicating with a peer device, the mobile device can be configured to check energy and data budgets and environmental conditions of the mobile device and/or a peer device to ensure a high quality user experience.
Abstract translation: 在一些实现中，移动设备可以被配置为监视与移动设备和/或对等设备相关联的环境，系统和用户事件。 一个或多个事件的发生可以触发对系统设置的调整。 移动设备可以被配置为基于用户预测的调用的预测来保持频繁被调用的应用程序的最新。 在一些实现中，移动设备可以接收与指示新内容可用于应用下载的应用相关联的推送通知。 移动设备可以在后台启动与推送通知相关联的应用，并下载新的内容。 在一些实施方案中，在运行应用程序或与对等设备通信之前，移动设备可以被配置为检查移动设备和/或对等设备的能量和数据预算以及环境状况，以确保高质量的用户体验。
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公开(公告)号：US20160058331A1
公开(公告)日：2016-03-03
申请号：US14475417
申请日：2014-09-02
Applicant: APPLE INC.
Inventor： Daniel S. Keen , Jay C. Blahnik , Gaurav Kapoor , Michael R. Siracusa
CPC classification number: A61B5/1118 , A61B5/4866 , A61B5/7275 , G06F8/65 , G06F9/4843 , G06F9/4893 , G06F9/542 , G06F2209/482 , Y02D10/24 , Y02D10/42
Abstract: Pacer activity data of a user may be managed. For example, historical activity data of a user corresponding to a particular time of a day prior to a current day may be received. Additionally, a user interface configured to display an activity goal of the user may be generated and the user interface may be provided for presentation. In some aspects, the user interface may be configured to display a first indicator that identifies cumulative progress towards the activity goal and a second indicator that identifies predicted cumulative progress towards the activity goal. The cumulative progress may be calculated based on monitored activity from a start of the current day to the particular time of the current day and the predicted cumulative progress may be calculated based on the received historical activity data corresponding to the particular time of the day prior to the current day.
Abstract translation: 可以管理用户的步行者活动数据。 例如，可以接收对应于当天之前一天的特定时间的用户的历史活动数据。 此外，可以生成被配置为显示用户的活动目标的用户界面，并且可以提供用户界面用于呈现。 在一些方面，用户界面可以被配置为显示识别针对活动目标的累积进展的第一指示符和识别针对活动目标的预测累积进展的第二指示符。 累积进度可以基于从当天开始到当天的特定时间的监视活动来计算，并且可以基于接收到的与之前一天的特定时间相对应的历史活动数据来计算预测累积进度 当天。
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公开(公告)号：US09256484B2
公开(公告)日：2016-02-09
申请号：US14253742
申请日：2014-04-15
Applicant: Apple Inc.
Inventor： Phillip Stanley-Marbell , Gaurav Kapoor , Kit-man Wan , Jonathan J. Andrews
CPC classification number: G06F9/542 , G06F9/4825
Abstract: In some implementations, a mobile device can be configured to monitor environmental, system and user events. The occurrence of one or more events can trigger adjustments to system settings. In some implementations, the mobile device can be configured to keep frequently invoked applications up to date based on a forecast of predicted invocations by the user. In some implementations, the mobile device can receive push notifications associated with applications that indicate that new content is available for the applications to download. The mobile device can launch the applications associated with the push notifications in the background and download the new content. In some implementations, before running an application or accessing a network interface, the mobile device can be configured to check energy and data budgets and environmental conditions of the mobile device to preserve a high quality user experience.
Abstract translation: 在一些实现中，移动设备可被配置为监视环境，系统和用户事件。 一个或多个事件的发生可以触发对系统设置的调整。 在一些实现中，移动设备可以被配置为基于用户对预测的调用的预测来保持频繁调用的应用程序的最新。 在一些实现中，移动设备可以接收与指示新内容可用于应用下载的应用相关联的推送通知。 移动设备可以在后台启动与推送通知相关联的应用，并下载新的内容。 在一些实施方式中，在运行应用程序或访问网络接口之前，移动设备可被配置为检查移动设备的能量和数据预算以及环境条件以保持高质量的用户体验。
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公开(公告)号：US20150347594A1
公开(公告)日：2015-12-03
申请号：US14502881
申请日：2014-09-30
Applicant: Apple Inc.
Inventor： John M. Hornkvist , Gaurav Kapoor
IPC: G06F17/30
CPC classification number: G06F16/2457 , G06F16/9535 , G06F16/9537 , G06N20/00
Abstract: Systems and methods are disclosed for improving search results returned to a user from one or more domains, utilizing query features learned locally on the user's device. One or more domains can inform a computing device of one or more features related to a search query upon which to the computing device can apply local learning. A local search system can include a local database, a local search history and feedback history database, and a local learning system to identify features about query terms. The features can be learned from the user's interaction with both local search results and remote search results, without sending the user interaction information or other user identification information to a remote search engine. A locally learned feature can be used to extend a query, bias a query term, or filter query results.
Abstract translation: 公开了系统和方法，以利用在用户设备本地学习的查询特征来改进从一个或多个域返回给用户的搜索结果。 一个或多个域可以向计算设备通知与计算设备可以应用本地学习的搜索查询相关的一个或多个特征。 本地搜索系统可以包括本地数据库，本地搜索历史和反馈历史数据库，以及本地学习系统以识别关于查询词语的特征。 可以从用户与本地搜索结果和远程搜索结果的交互中学习特征，而不将用户交互信息或其他用户标识信息发送到远程搜索引擎。 可以使用本地学习的功能来扩展查询，偏差查询词或过滤查询结果。
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Patent Agency Ranking
16.发明申请PREDICTING USER INTENT AND FUTURE INTERACTION FROM APPLICATION ACTIVITIES 审中-公开预测用户的意图和未来的应用活动的相互作用公开(公告)号：US20140082383A1
公开(公告)日：2014-03-20
申请号：US13623417
申请日：2012-09-20
Applicant: APPLE INC.
Inventor： Joshua P. De Cesare , Gaurav Kapoor , Jonathan J. Andrews
CPC classification number: G06F1/3206
Abstract: Techniques for power management of a portable device are described herein. According to one embodiment, a user agent of an operating system executed within a portable device is configured to monitor activities of programs running within the portable device and to predict user intent at a given point in time and possible subsequent user interaction with the portable device based on the activities of the program. Power management logic is configured to adjust power consumption of the portable device based on the predicted user intent and subsequent user interaction of the portable device, such that remaining power capacity of a battery of the portable device satisfies intended usage of the portable device.
Abstract translation: 本文描述了用于便携式设备的电源管理的技术。 根据一个实施例，在便携式设备内执行的操作系统的用户代理被配置为监视在便携式设备内运行的程序的活动并且在给定时间点预测用户意图以及可能的后续用户与便携式设备的交互 关于方案的活动。 电源管理逻辑被配置为基于便携式设备的预测用户意图和随后的用户交互来调整便携式设备的功耗，使得便携式设备的电池的剩余电力容量满足便携式设备的预期使用。
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公开(公告)号：US11614922B2
公开(公告)日：2023-03-28
申请号：US17129782
申请日：2020-12-21
Applicant: Apple Inc.
Inventor： Alexander B. Brown , Michael R. Siracusa , Gaurav Kapoor , Elizabeth Ottens , Christopher M. Hanson , Zachary A. Nation , Vrushali Mundhe , Srikrishna Sridhar
Abstract: The subject technology transforms a machine learning model into a transformed machine learning model in accordance with a particular model specification when the machine learning model does not conform to the particular model specification, the particular model specification being compatible with an integrated development environment (IDE). The subject technology generates a code interface and code for the transformed machine learning model, the code interface including code statements in the object oriented programming language, the code statements corresponding to an object representing the transformed machine learning model. Further, the subject technology provides the generated code interface and the code for display in the IDE, the IDE enabling modifying of the generated code interface and the code.
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公开(公告)号：US20210192078A1
公开(公告)日：2021-06-24
申请号：US17129579
申请日：2020-12-21
Applicant: Apple Inc.
Inventor： Stephen Cosman , Kalu Onuka Kalu , Marcelo Lotif Araujo , Michael Chatzidakis , Thi Hai Van Do , Alexis Hugo Louis Durocher , Guillaume Tartavel , Sowmya Gopalan , Vignesh Jagadeesh , Abhishek Bhowmick , John Duchi , Julien Freudiger , Gaurav Kapoor , Ryan M. Rogers
Abstract: Embodiments described herein provide for a non-transitory machine-readable medium storing instructions to cause one or more processors to receive, at a client device, a machine learning model from a server, detect a usage pattern for a content item, store an association between the content item and the detected usage pattern in local data, train the machine learning model using local data for the content item with the detected usage pattern to generate a trained machine learning model, generate an update for the machine learning model, privatize the update for the machine learning model, and transmit the privatized update for the machine learning model to the server.
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公开(公告)号：US10970185B2
公开(公告)日：2021-04-06
申请号：US16121400
申请日：2018-09-04
Applicant: Apple Inc.
Inventor： Cyril De La Cropte De Chanterac , Phillip Stanley-Marbell , Kartik Venkatraman , Gaurav Kapoor
IPC: G06F1/3203 , G06F11/32 , G06F1/3212
Abstract: Systems and methods are disclosed for advising a user when an energy storage device in a computing system needs charging. State of charge data of the energy storage device can be measured and stored at regular intervals. The historic state of charge data can be queried over a plurality of intervals and a state of charge curve generated that is representative of a user's charging habits over time. The state of charge curve can be used to generate a rate of charge histogram and an acceleration of charge histogram. These can be used to predict when a user will charge next, and whether the energy storage device will have an amount of energy below a predetermined threshold amount before the next predicted charging time. A first device can determine when a second device typically charges and whether the energy storage device in the second device will have an amount of energy below the predetermined threshold amount before the next predicted charge time for the second device. The first device can generate an advice to charge notification to the user on either, or both, devices.
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公开(公告)号：US10606566B2
公开(公告)日：2020-03-31
申请号：US15721701
申请日：2017-09-29
Applicant: Apple Inc.
Inventor： Alexander B. Brown , Michael R. Siracusa , Gaurav Kapoor , Elizabeth A. Ottens , Christopher M. Hanson , Zachary A. Nation , Vrushali H. Mundhe , Srikrishna Sridhar
Abstract: The subject technology provides for generating machine learning (ML) model code from a ML document file, the ML document file being in a first data format, the ML document file being converted to code in an object oriented programming language different than the first data format. The subject technology further provides for receiving additional code that calls a function provided by the ML model code. The subject technology compiles the ML model code and the additional code, the compiled ML model code including object code corresponding to the compiled ML model code and the compiled additional code including object code corresponding to the additional code. The subject technology generates a package including the compiled ML model code and the compiled additional code. Further, the subject technology sends the package to a runtime environment on a target device for execution.
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