Abstract: A computing device is described that displays a set of graphical elements in a status bar of a graphical user interface. Each graphical element corresponds to a different pending notification. While expanding a notification shade from the status bar, the device displays the graphical elements within an area of the notification shade that is adjacent to a leading edge of the notification shade. Responsive to determining that a particular notification message is newly visible, the device removes, a particular graphical element that corresponds to the particular notification message, and displays the particular graphical element within the particular notification message. In this manner, interaction with the notification area may be more efficient, as during a process of expanding or contracting this area, the user may be informed the underlying state of the set of pending notifications as a whole.
Type:
Grant
Filed:
April 6, 2021
Date of Patent:
April 4, 2023
Assignee:
Google LLC
Inventors:
Selim Flavio Cinek, Justin R. Barber, Allyson E. Tong, Daniel Park, William Levi Frohn, Madeleine Denise Mellor
Abstract: A method of sampling output audio samples includes, during a packet loss concealment event, obtaining a sequence of previous output audio samples. At each time step during the event, the method includes generating a probability distribution over possible output audio samples for the time step. Each sample includes a respective probability indicating a likelihood that the corresponding sample represents a portion of an utterance at the time step. The method also includes determining a temperature sampling value based on a function of a number of time steps that precedes the time step, and an initial, a minimum, and a maximum temperature sampling value. The method also includes applying the temperature sampling value to the probability distribution to adjust a probability of selecting possible samples and randomly selecting one of the possible samples based on the adjusted probability. The method also includes generating synthesized speech using the randomly selected sample.
Abstract: This document describes techniques and apparatuses directed at localized haptic feedback in electronic devices using pressure-sensitive adhesive (PSA) and piezoelectric haptic actuators. In aspects, an electronic device includes a housing having a frame defining a slot. An actuator is adhered to the frame at the bottom of the slot by the PSA. When a force is applied to an exterior surface of the actuator (“button press”), the PSA compresses and an extending member attached to the actuator, opposite the exterior surface, slidably moves within an aperture in the frame at the bottom of the slot. The extending member engages a sensor module (e.g., piezoelectric sensor) and the electronic device registers a button press. The sensor module then applies haptic feedback to the extending member and through the actuator to the exterior surface. When the force is removed from the actuator's exterior surface, the PSA expands to an approximate original thickness.
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network. One of the methods includes generating, by a speech recognition system, a matrix from a predetermined quantity of vectors that each represent input for a layer of a neural network, generating a plurality of sub-matrices from the matrix, using, for each of the sub-matrices, the respective sub-matrix as input to a node in the layer of the neural network to determine whether an utterance encoded in an audio signal comprises a keyword for which the neural network is trained.
Abstract: A manager agent access a grain hierarchy that represents a state for a computation that is to performed by a distributed processing system, wherein the grain hierarchy includes manager agent grains including metadata for manager agent processes that manage the performance of the computation by the distributed processing system, and worker agent grains including, for tasks to be performed by the distributed processing system, metadata for worker agents that each correspond to a subset of the plurality of data processors for performing the task. A manager agent performs processes defined by a manager agent grain to manage the computation by worker agents and storing, within the grain, metadata describing the manager agent process performed by the manager agent, and worker agents perform tasks assigned to the worker agents based on an assignment of a respective worker agent grain to the worker agent.
Type:
Grant
Filed:
August 7, 2020
Date of Patent:
April 4, 2023
Assignee:
Google LLC
Inventors:
Kenneth Jerome Goldman, Sunghwan Ihm, Xiaozhou Li, Jelena Pjesivac-Grbovic
Abstract: A flow table management system can include a hardware memory module communicatively coupled to a network interface card. The hardware memory module is configured to store a flow table including a plurality of network flow entries. The network interface card further includes a flow table age cache configured to store a set of recently active network flows and a flow table management module configured to manage a duration for which respective network flow entries in the flow table stored in the hardware memory module remain in the flow table using the flow table age cache. In some implementations, age information about each respective flow in the flow table is stored in the hardware memory module in an age state table that is separate from the flow table.
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a system-level cache to allocate cache resources by a way-partitioning process. One of the methods includes maintaining a mapping between partitions and priority levels and allocating primary ways to respective enabled partitions in an order corresponding to the respective priority levels assigned to the enabled partitions.
Type:
Grant
Filed:
December 31, 2020
Date of Patent:
April 4, 2023
Assignee:
Google LLC
Inventors:
Vinod Chamarty, Xiaoyu Ma, Hongil Yoon, Keith Robert Pflederer, Weiping Liao, Benjamin Dodge, Albert Meixner, Allan Douglas Knies, Manu Gulati, Rahul Jagdish Thakur, Jason Rupert Redgrave
Abstract: Characteristics of a speaker are estimated using speech processing and machine learning. The characteristics of the speaker are used to automatically customize a user interface of a client device for the speaker.
Abstract: A method includes obtaining, from a server, a filter including a set of encrypted identifiers each encrypted with a server key controlled by the server. The method includes obtaining a request that requests determination of whether a query identifier is a member of a set of identifiers corresponding to the set of encrypted identifiers. The method also includes transmitting an encryption request to the server that requests the server to encrypt the query identifier. The method includes receiving, from the server, an encrypted query identifier including the query identifier encrypted by the server key and determining, using the filter, whether the encrypted query identifier is not a member of the set of encrypted identifiers. When the encrypted query identifier is not a member of the set of encrypted identifiers, the method includes reporting that the query identifier is not a member of the set of identifiers.
Type:
Grant
Filed:
September 23, 2021
Date of Patent:
April 4, 2023
Assignee:
Google LLC
Inventors:
Kevin Yeo, Joon Young Seo, Sarvar Patel
Abstract: This application is directed to changing a TV operating mode based on a potential relationship among viewers of a connected TV. In some implementations, a method includes: determining viewer identities and identifying the potential relationship among the viewers or a subset of the viewers; in accordance with a determination that the potential relationship allows the viewers to share private information, placing or maintaining the connected TV in or into a first operating mode that is unrelated to media content being displayed and allows personal information to be displayed on the connected TV; and in accordance with a determination that the potential relationship does not allow the viewers to share private information, placing or maintaining the connected TV in or into a second operating mode that is unrelated to the media content and does not allow personal information to be displayed on the connected TV.
Type:
Grant
Filed:
May 3, 2021
Date of Patent:
April 4, 2023
Assignee:
Google LLC
Inventors:
Alok Chandel, Eric H C Liu, Pierre-Yves Laligand, Justin Koh
Abstract: A thermosiphon includes a condenser; an evaporator that includes a fluid channel and a heat transfer surface, the heat transfer surface defining a plurality of fluid pathways in the fluid channel that extend through the fluid channel, the evaporator configured to thermally couple to one or more heat-generating electronic devices; and a transport member that fluidly couples the condenser and the evaporator, the transport member including a liquid conduit that extends through the transport member to deliver a liquid phase of a working fluid into the fluid pathways, the transport member further including a surface to vertically enclose the plurality of fluid pathways.
Abstract: A method includes identifying, based on sensor data received by a motion sensor, a physical activity performed by a user of the computing system during a time period and determining whether the user consumed media during the time period that the user performed the physical activity. The method also includes responsive to determining that the user consumed the media during the time period that the user performed the physical activity, determining, based on data indicative of the media consumed by the user, an updated physical activity performed by the user during the time period; and outputting data indicating the updated physical activity.
Abstract: A method (300) and apparatus (110, 150) collect and upload implicit analytic data. The method can include storing (320) dependency rules corresponding explicit events to implicit events. The method can include collecting (330) and storing (340) implicit event data corresponding to implicit events. The method can include receiving (350) an explicit event at the device. The method can include evaluating (360) dependency rules corresponding to the explicit event. The method can include identifying (370) a relevant subset of implicit event data corresponding to the explicit event based on evaluating the dependency rules. The method can include uploading (390) the relevant subset of the implicit event data and explicit event data corresponding to the explicit event.
Type:
Grant
Filed:
June 8, 2017
Date of Patent:
April 4, 2023
Assignee:
Google LLC
Inventors:
Nitya Narasimhan, Yan Liu, Gregory L. Singer
Abstract: A system and method for protocol independent multi-flow table routing includes a first flow table, a second flow table, and a shared hash table accessible by both the first flow table and the second flow table. Upon receipt of a packet, a first secure signature of a first lookup key is generated for the first flow table, and a second secure signature of a second lookup key is generated for the second flow table. The shared hash table stores both the first secure signature in association with a first value corresponding to the first secure signature, and the second secure signature along with a second value corresponding to the second secure signature. The first and second values indicate destination information for the packet.
Type:
Grant
Filed:
June 4, 2019
Date of Patent:
April 4, 2023
Assignee:
Google LLC
Inventors:
Yuhong Mao, Richard Lee Sites, Uday Ramakrishna Naik, Manoj Kasichainula
Abstract: Methods, systems, and apparatus, for totally corrective boosting with cardinality penalization are described. One of the methods includes obtaining initialization data identifying training examples, a dictionary of weak classifiers, and an active weak classifier matrix. Iterations of a totally corrective boosting with cardinality penalization process are performed, wherein each iteration performs operations comprising selecting a weak classifier from the dictionary of weak classifiers that most violates a constraint of a dual of the primal problem. The selected weak classifier is included in the active weak classifier matrix. The primal problem is optimized, and a discrete weight vector is determined. Weak classifiers are identified from the active weak classifier matrix with respective discrete weights greater than a threshold. The regularized risk is optimized, and a continuous weight vector is determined.
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for speech recognition using neural networks. A feature vector that models audio characteristics of a portion of an utterance is received. Data indicative of latent variables of multivariate factor analysis is received. The feature vector and the data indicative of the latent variables is provided as input to a neural network. A candidate transcription for the utterance is determined based on at least an output of the neural network.
Inventors:
Gina Reimann, Luke David Mastrangelo, Maj Isabelle Olsson, Idil Girard, Peter Michael Cazalet, Benjamin Caleb Carroll, Shameem Hameed, Sandeep Singh Waraich