Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example, a plurality of data items selected by a user are received, wherein a plurality of confidence values corresponding to the plurality of data items are identified. The plurality of data items is ordered. The first data item is displayed, and updated context information associated with the electronic device is received. An update to the plurality of confidence values is detected, wherein the updated plurality of confidence values includes a third confidence value associated with a third data item of the plurality of ordered data items. In accordance with a determination that the third confidence value is higher than a first confidence value of the first data item, an order of the plurality of ordered data items is modified, and the third data item of the plurality of ordered data items is displayed.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example, a plurality of data items selected by a user are received, wherein a plurality of confidence values corresponding to the plurality of data items are identified. The plurality of data items is ordered. The first data item is displayed, and updated context information associated with the electronic device is received. An update to the plurality of confidence values is detected, wherein the updated plurality of confidence values includes a third confidence value associated with a third data item of the plurality of ordered data items. In accordance with a determination that the third confidence value is higher than a first confidence value of the first data item, an order of the plurality of ordered data items is modified, and the third data item of the plurality of ordered data items is displayed.

Abstract: Systems and processes for providing, via an electronic device, suggested user actions. The suggested actions are provided in response to detecting an occurrence of a predefined event occurring in the user's day. The occurrence of the anchor is encoded in signals generated by the electronic device. The occurrence of the anchor is detectable via monitoring and analysis of electronic signals. Based on the user's previous interactions with the device, the occurrence of the anchor is indicative of user behavior and/or action taken in response to the anchor. Machine learning (ML) is employed to train an anchor model to associate actions taken in response to anchor occurrences. The trained anchor model is employed to detect anchors and provide suggested actions in response to the detected anchor occurrence. The suggested action is based on a type of anchor occurrence and contextual conditions of the anchor occurrences.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example, a plurality of data items selected by a user are received, wherein a plurality of confidence values corresponding to the plurality of data items are identified. The plurality of data items is ordered. The first data item is displayed, and updated context information associated with the electronic device is received. An update to the plurality of confidence values is detected, wherein the updated plurality of confidence values includes a third confidence value associated with a third data item of the plurality of ordered data items. In accordance with a determination that the third confidence value is higher than a first confidence value of the first data item, an order of the plurality of ordered data items is modified, and the third data item of the plurality of ordered data items is displayed.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example, a plurality of data items selected by a user are received, wherein a plurality of confidence values corresponding to the plurality of data items are identified. The plurality of data items is ordered. The first data item is displayed, and updated context information associated with the electronic device is received. An update to the plurality of confidence values is detected, wherein the updated plurality of confidence values includes a third confidence value associated with a third data item of the plurality of ordered data items. In accordance with a determination that the third confidence value is higher than a first confidence value of the first data item, an order of the plurality of ordered data items is modified, and the third data item of the plurality of ordered data items is displayed.

Abstract: The subject technology provides notification management systems and methods that can be used to efficiently and manage notifications on electronic devices. The subject technology provides systems and methods for obtaining entity data pertaining to entities associated with the electronic device, and generating, for an operational mode associated with the electronic device, an entity score for each of the entities based on the obtained entity data. Based on the entity scores, a recommendation of a set of configuration settings for the operational mode associated with the computing device is provided for display by the computing device. A user input indicating acceptance of the set of configuration settings is received. Thereafter, when the computing device is in the operational mode, display of one or more notifications is controlled based at least in part on the set of configuration settings.

Abstract: Systems and processes for providing, via an electronic device, suggested user actions. The suggested actions are provided in response to detecting an occurrence of a predefined event occurring in the user's day. The occurrence of the anchor is encoded in signals generated by the electronic device. The occurrence of the anchor is detectable via monitoring and analysis of electronic signals. Based on the user's previous interactions with the device, the occurrence of the anchor is indicative of user behavior and/or action taken in response to the anchor. Machine learning (ML) is employed to train an anchor model to associate actions taken in response to anchor occurrences. The trained anchor model is employed to detect anchors and provide suggested actions in response to the detected anchor occurrence. The suggested action is based on a type of anchor occurrence and contextual conditions of the anchor occurrences.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example, a plurality of data items selected by a user are received, wherein a plurality of confidence values corresponding to the plurality of data items are identified. The plurality of data items is ordered. The first data item is displayed, and updated context information associated with the electronic device is received. An update to the plurality of confidence values is detected, wherein the updated plurality of confidence values includes a third confidence value associated with a third data item of the plurality of ordered data items. In accordance with a determination that the third confidence value is higher than a first confidence value of the first data item, an order of the plurality of ordered data items is modified, and the third data item of the plurality of ordered data items is displayed.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example, a plurality of data items selected by a user are received, wherein a plurality of confidence values corresponding to the plurality of data items are identified. The plurality of data items is ordered. The first data item is displayed, and updated context information associated with the electronic device is received. An update to the plurality of confidence values is detected, wherein the updated plurality of confidence values includes a third confidence value associated with a third data item of the plurality of ordered data items. In accordance with a determination that the third confidence value is higher than a first confidence value of the first data item, an order of the plurality of ordered data items is modified, and the third data item of the plurality of ordered data items is displayed.

Abstract: A system includes a battery module having a heat sink outer wall feature and a plurality of battery cells. The battery module also includes a plurality of internal heat fins interleaved with the plurality of battery cells, wherein each of the plurality of internal heat fins is in thermal communication with at least one of the plurality of battery cells and in thermal communication with the heat sink outer wall feature. The battery module further includes a plurality of phase change material (PCM) layers interleaved with the plurality of battery cells, wherein each of the plurality of PCM layers is configured to be in thermal communication with at least one of the plurality of battery cells and in thermal communication with at least one of the plurality of internal heat fins.

Abstract: In an embodiment, a system includes a battery module, a battery cell assembly that is a component of the battery module, and a battery cell of the battery cell assembly, wherein the battery cell is configured to generate heat during operation. The battery cell assembly also includes a phase change material (PCM) disposed along a thermal pathway within the battery cell assembly that transfers the heat generated by the battery cell away from the battery cell during operation. The PCM is configured to conduct a first portion of the heat generated by the battery cell during operation. Further, the PCM is configured to absorb a second portion of the heat generated by the battery cell to affect a phase change within at least a portion of the PCM.

Abstract: A system includes a battery module having a heat sink outer wall feature and a plurality of battery cells. The battery module also includes a plurality of internal heat fins interleaved with the plurality of battery cells, wherein each of the plurality of internal heat fins is in thermal communication with at least one of the plurality of battery cells and in thermal communication with the heat sink outer wall feature. The battery module further includes a plurality of phase change material (PCM) layers interleaved with the plurality of battery cells, wherein each of the plurality of PCM layers is configured to be in thermal communication with at least one of the plurality of battery cells and in thermal communication with at least one of the plurality of internal heat fins.

Abstract: In an embodiment, a system includes a battery module, a battery cell assembly that is a component of the battery module, and a battery cell of the battery cell assembly, wherein the battery cell is configured to generate heat during operation. The battery cell assembly also includes a phase change material (PCM) disposed along a thermal pathway within the battery cell assembly that transfers the heat generated by the battery cell away from the battery cell during operation. The PCM is configured to conduct a first portion of the heat generated by the battery cell during operation. Further, the PCM is configured to absorb a second portion of the heat generated by the battery cell to affect a phase change within at least a portion of the PCM.

Abstract: The present invention provides a measurement system and a method of determining characteristics associated with a waveform that compensate for distortion associated therewith. In one embodiment, the measurement system includes a monitoring device that detects distortion in a waveform propagating along the transmission medium. The measurement system further includes a computational subsystem that generates a precompensation signal and precompensation value as a function of the distortion in the waveform. The precompensation value substantially compensates for the distortion when inserted into the waveform as a function of the precompensation signal.

Abstract: The present invention provides a distortion precompensator and method of compensating for distortion in a transmission medium and a transmitter employing the same. In one embodiment, the distortion precompensator includes a controller, associated with a transmitter, that employs a predetermined precompensation signal. The distortion precompensator also includes an injector that injects a predetermined precompensation value as a function of the precompensation signal into a waveform propagating along the transmission medium thereby substantially compensating for distortion associated therewith.

Abstract: A multiple power supply circuit architecture, such as a circuit power system including a first voltage rail, a first reference rail, a second voltage rail, a second reference rail, and a first selective connector between the first and second voltage rails.