Abstract: This document describes a thermal-control system that may be integrated into a mesh network device and associated mesh network devices. The thermal-control system, which may include a heat sink, multiple heat spreaders, and a heat shield, is such that heat originating from IC devices populating a printed circuit board of the mesh network device may be transferred to a housing component of the mesh network device for external dissipation to maintain a desired thermal profile of the mesh network device.

Abstract: Methods, systems, and media for authentication of user devices to a display device are provided. In some implementations, the method comprises: authenticating a first user device to a display device, where the first user device is provided with media playback control on the display device in response to the authentication; identifying a second user device in proximity to the first user device; transmitting, from the first user device to the second user device, an invitation message to authenticate the second user device to the display device; and transmitting, from the first user device to the second user device, an authentication token that causes the second user device to request authentication to the display device from the server, where the second user device is provided with media playback control on the display device in response to authenticating with the display device.

Abstract: This application is directed to a doorbell camera for illuminating and capturing scenes. The doorbell camera includes at least a subset of processors for operating a camera module, an image sensor having a field of view of a scene and configured to capture video of a portion of the scene, one or more infrared (IR) illuminators for providing illumination, a waterproof button assembly, and a microphone and a speaker for enabling a real-time conversation between a visitor located at the doorbell camera and a user of a remote client device. The waterproof button assembly is configured to receive a user press on a button top, block water from entering the electronic device, and display a visual pattern uniformly at a peripheral region of the button assembly using LEDs and light guide component that are disposed under the button top.

Abstract: A method includes providing, for each respective audio channel of a plurality of audio channels provided by an operating system of a computing device, a set of successive audio processing stages to apply to the respective audio channel. The method also includes providing, by the operating system, an application programming interface (API) configured to set a plurality of parameters for adjusting the set of successive audio processing stages for each respective audio channel. The method additionally includes receiving, via the API and from an application running on the computing device, one or more values for one or more parameters of the plurality of parameters. The method further includes adjusting, by the operating system, the plurality of audio channels based on the received one or more values for the one or more parameters.

Abstract: The present disclosure provides systems and methods for content quasi-personalization or anonymized content retrieval via aggregated browsing history of a large plurality of devices, such as millions or billions of devices. A sparse matrix may be constructed from the aggregated browsing history, and dimensionally reduced, reducing entropy and providing anonymity for individual devices. Relevant content may be selected via quasi-personalized clusters representing similar browsing histories, without exposing individual device details to content providers.

Abstract: The present disclosure provides systems and methods that perform structure-based access control. In particular, rather than relying upon a user-specific credential scheme, which can require manual sharing of user-specific credentials and/or switching between the multiple accounts to access the particular devices, applications, or services associated with such accounts, the systems and methods of the present disclosure facilitate user credentials to be inherited by or otherwise assigned to a structure identifier associated with a structure (e.g., a home in which the user resides), thereby generating a set of structure credentials. This enables other users in the structure, who may be part of a collaborative user group, to access devices, applications, and/or services using the structure credentials.

Abstract: Methods, systems, and media for identifying video objects linked to a source video are provided. In some embodiments, the method comprises: identifying demographic attributes corresponding to a first user participating in an online conversation; determining at least one keyword associated with the online conversation, wherein the keyword indicates a topic of the online conversation; identifying a video object based at least on the demographic attributes and the at least one keyword, wherein the video object comprises a portion of a video; causing the identified video object to be presented in a group of video objects on a first user device associated with the first user; receiving an indication that the identified video object has been selected on the first user device for inclusion in a message in the online conversation; and causing the identified video object to be presented on a second user device associated with the second user.

Abstract: A method for presenting a media item of a set of media items in a graphical user interface (GUI) of a client device is disclosed. The GUI is provided to present a media item in a set of media items. An input is received to select a first position on the GUI. A continuous movement of the input along a first axis of the GUI is detected to select a second position on the GUI from the first position. Responsive to detecting the continuous movement, a scrub rate corresponding to the second position in association with the first axis of the GUI is determined. A change in a direction of the continuous movement of the input towards a second axis of the GUI is detected. The second axis and the first axis are perpendicular to each other. Responsive to detecting the change in the direction of the continuous movement, one or more media items of the set of media items are advanced according to the scrub rate.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving audio data including an utterance, obtaining context data that indicates one or more expected speech recognition results, determining an expected speech recognition result based on the context data, receiving an intermediate speech recognition result generated by a speech recognition engine, comparing the intermediate speech recognition result to the expected speech recognition result for the audio data based on the context data, determining whether the intermediate speech recognition result corresponds to the expected speech recognition result for the audio data based on the context data, and setting an end of speech condition and providing a final speech recognition result in response to determining the intermediate speech recognition result matches the expected speech recognition result, the final speech recognition result including the one or more expected speech recognition results indicated b

Abstract: Techniques are disclosed that enable training a plurality of policy networks, each policy network corresponding to a disparate robotic training task, using a mobile robot in a real world workspace. Various implementations include selecting a training task based on comparing a pose of the mobile robot to at least one parameter of a real world training workspace. For example, the training task can be selected based on the position of a landmark, within the workspace, relative to the pose. For instance, the training task can be selected such that the selected training task moves the mobile robot towards the landmark.

Abstract: The present disclosure provides for detection of input to a wireless device, such as earbuds or other wearable devices, based on RF signals between the earbuds and/or between an earbud and other devices, such as a host device. For example, gestures may be detected using signal strength, such as by using a received signal strength indicator (RSSI), between two earbuds and/or between an earbud and a host device.

Abstract: Training and/or utilizing a hierarchical reinforcement learning (HRL) model for robotic control. The HRL model can include at least a higher-level policy model and a lower-level policy model. Some implementations relate to technique(s) that enable more efficient off-policy training to be utilized in training of the higher-level policy model and/or the lower-level policy model. Some of those implementations utilize off-policy correction, which re-labels higher-level actions of experience data, generated in the past utilizing a previously trained version of the HRL model, with modified higher-level actions. The modified higher-level actions are then utilized to off-policy train the higher-level policy model. This can enable effective off-policy training despite the lower-level policy model being a different version at training time (relative to the version when the experience data was collected).

Abstract: A first request for content from a client device is received. The first request includes a resource locator provided by an authorizing data service to authorize the client device to obtain the requested content. The resource locator includes a first digital signature associated with authorization of the client device to access the requested content, and a second digital signature associated with authorization of delivery of the requested content for access by the client device. An occurrence of an event is identified that indicates a change in the delivery of the requested content to the client device. A third digital signature associated with a changed delivery of the requested content is generated. A new resource locator is provided to the client device that includes the first digital signature and the third digital signature.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that protect analytics for resources of a publisher from traffic directed to such resources by malicious entities. An analytics server receives a first message that includes an encrypted token and analytics data for a publisher-provided resource. The token includes a portion of the analytics data and a trust score indicating a likelihood that activity on the resource is attributed to a human (rather than an automated process). The analytics server decrypts the token. The analytics server determines a trustworthiness measure for the analytics data included in the first message based on the trust score (in the decrypted token) and a comparison of the analytics data in the first message and the portion of the analytics data (in the decrypted token). Based on the measure of trustworthiness, the analytics server performs analytics operations using the analytics data.

Abstract: Techniques of generating a wavefront modulating element (WME) for imaging an object over a large image field include (i) designing a WME by breaking a large image into smaller sub-images and then applying an inverse imaging operation to find a segment of a plurality of segments (324-1 to-334-n) of a WME (in the from of DOE) producing a sub-image, and (ii) specifying an optical system to illuminate the WME resulting from each of the plurality of segments in such a way that the large image is reproduced as closely as possible. Along these lines, given a large target image in the far-field, a WME generation system decomposes the target image into sub-images. From this decomposition, the WME generation system then produces WME segments corresponding to the sub-images.

Abstract: An augmented reality (AR) subsystem including one or more machine learning models, automatically overlays an augmented reality image, e.g., a border or outline, that identifies cells of potential interest, in the field of view of the specimen as seen through the eyepiece of an LCM microscope. The operator does not have to manually identify the cells of interest for subsequent LCM, e.g, on a workstation monitor, as in the prior art. The operator is provided with a switch, operator interface tool or other mechanism to select the identification of the cells, that is, indicate approval of the identification of the cells, while they view the specimen through the eyepiece. Activation of the switch or other mechanism invokes laser excising and capture of the cells of interest via a known and conventional LCM subsystem.

Abstract: A head-mounted device, such as augmented reality glasses, can be configured to track screen time. The head-mounted device can advantageously track screen time across a variety of devices whether or not they are configured to such measurements. Various modes for tracking the screen time may be used based on accuracy, power consumption, and privacy. The head-mounted device may track in a mode based on a battery level, a device setting or a user input. The head-mounted device may accumulate screen times in a database and in some implementations, can link screen times with devices in the database based on device information gathered by the head-mounted device during the tracking process. The head-mounted device may be configured to generate and display an alert based on one or more rules about screen time.

Abstract: The present disclosure provides systems and methods that provide feedback to a user of an image capture device that includes an artificial intelligence system that analyzes incoming image frames to, for example, determine whether to automatically capture and store the incoming frames. An example system can also, in the viewfinder portion of a user interface presented on a display, a graphical intelligence feedback indicator in association with a live video stream. The graphical intelligence feedback indicator can graphically indicate, for each of a plurality of image frames as such image frame is presented within the viewfinder portion of the user interface, a respective measure of one or more attributes of the respective scene depicted by the image frame output by the artificial intelligence system.

Abstract: A method includes receiving trace data representing access information about files stored in a large-scale distributed storage system, identifying file access patterns based on the trace data, receiving metadata information associated with the files stored in the large-scale distributed storage system, and generating a preferred storage parameter for each file based on the received metadata information and the identified file access patterns. The method also includes receiving, file reliability or accessibility information of a new file, determining whether the received file reliability or accessibility information of the new file matches information of a file group of the files in the large-scale distributed storage system, and when the file reliability or accessibility information of the new file matches the information of the file group, storing the new file in the large-scale distributed storage system using the preferred storage parameter associated with the file group.

Abstract: A packet cache system includes a cache memory allocator for receiving a memory address corresponding to a non-cache memory and allocated to a packet, and associating the memory address with a cache memory address; a hash table for storing the memory address and the cache memory address, with the memory address as a key and the cache memory address as a value; a cache memory for storing the packet at a location indicated by the cache memory address; and an eviction engine for determining one or more cached packets to remove from the cache memory and place in the non-cache memory when occupancy of the cache memory is high.

Abstract: A device includes: an array of light emitting elements extending in a first plane, each light emitting element being arranged to emit light; an array of pixel driver elements extending in a second plane beneath the array of pixels, in which each pixel driver element is configured to drive a corresponding light emitting element of the array of light emitting elements; a hole positioned within the array of light emitting elements and the array of pixel driver elements, in which the hole extends from the first plane through the second plane, a first multiple of light emitting elements from the array of light emitting elements in a first region adjacent the hole are arranged to provide a first resolution, and a second multiple of light emitting elements from the array of elements in a second region away from the hole are arranged to provide a second resolution.

Abstract: In a general aspect, a computer-implemented method can include executing, on a computing device, a non-browser application; displaying, by the non-browser application on a display of the computing device, a link to web content; and receiving an indication that the link has been selected. In response to the indication that the link has been selected, the method can include, allocating a tab of a browser application to the non-browser application; displaying the allocated browser tab within a user interface of the non-browser application; and displaying, by the allocated browser tab, the web content within the user interface.

Abstract: The present disclosure is directed to determining geographic orientation based at least in part on imagery. In particular, the methods and systems of the present disclosure can: receive data generated by a camera (118) and representing imagery that includes at least a portion of a physical real-world environment comprising the camera (118) and a travelway (312); and determine, based at least in part on the data and a machine-learning model, a geographic orientation of the camera (118) with respect to the travelway (312).

Abstract: Implementations set forth herein relate to an automated assistant that can control graphical user interface (GUI) elements via voice input using natural language understanding of GUI content in order to resolve ambiguity and allow for condensed GUI voice input requests. When a user is accessing an application that is rendering various GUI elements at a display interface, the automated assistant can operate to process actionable data corresponding to the GUI elements. The actionable data can be processed in order to determine a correspondence between GUI voice input requests to the automated assistant and at least one of the GUI elements rendered at the display interface. When a particular spoken utterance from the user is determined to correspond to multiple GUI elements, an indication of ambiguity can be rendered at the display interface in order to encourage the user to provide a more specific spoken utterance.

Abstract: Selection and serving of content items may include receiving data indicative of a status of an energy source of a device with a request for a content item. A first received content item may be associated with a first energy consumption level and a second received content item may be associated with a second energy consumption level. The accessed content items are responsive to the request for a content item. The first energy consumption level may be higher than the second energy consumption level. The first content item or the second content item may be selected based, at least in part, on the received data indicative of the status of the energy source of the device, and data to display the selected content item may be provided to the device.

Abstract: The present disclosure provides for consistent reads in a global database that is replicated to one or more global clones. A state machine is implemented, and executed independently, for each project in each region. Based on the state of a project when a read request is received, the read request will be served by the global database, served by the global clone, or ignored as an invalid request.

Abstract: This document describes techniques and systems that enable privacy controls for sharing embeddings for searching and indexing media content. A set of images of a user's face are obtained and a machine-learned model is applied to the set of images to generate a user-specific dataset of face embeddings for the user. Media content stored in a media storage is indexed by applying the machine-learned model to the media content to provide indexed media information identifying one or more faces shown in the media content. Access to the indexed media information by another user querying the media content for images or videos depicting the user is controlled based on a digital key shared by the user with the other user, where the digital key is associated with the user-specific dataset and the user-specific dataset is usable to identify the images or videos depicting the user.

Abstract: This application is directed to a speaker assembly in which a speaker is mounted in an enclosure structure. The enclosure structure exposes a speaker opening of the speaker and provides a sealed enclosure for a rear portion of the speaker, and further includes an electrically conductive portion. One or more electronic components are coupled to the electrically conductive portion of the enclosure structure (which is grounded in some implementations). The electrically conductive portion of the enclosure structure is configured to provide electromagnetic shielding for the electronic components and forms part of the sealed enclosure of the speaker. In some implementations, the electrically conductive portion of the enclosure structure is thermally coupled to the electronic components and acts as a heat sink that is configured to absorb heat generated by the electronic components and dissipate the generated heat away from the electronic components.

Abstract: Methods, systems, and media for displaying information related to displayed content upon detection of user attention are provided. In some implementations, a method for presenting information to a user is provided, the method comprising: detecting a presence of a user; retrieving content and associated content metadata; causing the content to be presented to the user in response to detecting the presence of the user; detecting a user action indicative of user attention to at least a portion of the content presented to the user; and in response to detecting the user action, causing information to be presented to the user, wherein the information presented to the user corresponds to the content metadata associated with the portion of the content.

Abstract: A method is provided including presenting a user interface to allow a user of a social networking service to create a new collection for collecting a set of content items for the user, and upon a user request to create the new collection, adding the new collection to a list of collections associated with a user profile of the user, and presenting, in the user interface, the new collection as part of the list of collections associated with the user profile at the social networking service.

Abstract: A head-mounted device (HMD) can be configured to determine a request for recognizing at least one content item included within content framed within a display of the HMD. The HMD can be configured to initiate a head-tracking process that maintains a coordinate system with respect to the content, and a pointer-tracking process that tracks a pointer that is visible together with the content within the display. The HMD can be configured to capture a first image of the content and a second image of the content, the second image including the pointer. The HMD can be configured to map a location of the pointer within the second image to a corresponding image location within the first image, using the coordinate system, and provide the at least one content item from the corresponding image location.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for voice recognition. In one aspect, a method includes the actions of receiving a voice input; determining a transcription for the voice input, wherein determining the transcription for the voice input includes, for a plurality of segments of the voice input: obtaining a first candidate transcription for a first segment of the voice input; determining one or more contexts associated with the first candidate transcription; adjusting a respective weight for each of the one or more contexts; and determining a second candidate transcription for a second segment of the voice input based in part on the adjusted weights; and providing the transcription of the plurality of segments of the voice input for output.

Abstract: A method includes identifying, within an image that represents a fingerprint, a plurality of keypoints. The method also includes determining a plurality of pixel vectors by transforming, for each respective keypoint, a corresponding two-dimensional (2D) array of pixel values associated with the respective keypoint into a corresponding pixel vector, and obtaining a plurality of filter vectors that represent, for each respective filter of a plurality of filters, a transformation of a corresponding 2D array of filter values of the respective filter into a corresponding filter vector. The method additionally includes convolving the plurality of keypoints with the plurality of filters by multiplying, using a tensor processing hardware, a pixel matrix formed by the plurality of pixel vectors and a filter matrix formed by the plurality of filter vectors, and determining, based on the convolving, a representation of the fingerprint.

Abstract: User interaction may be supported with an audio presentation by an automated assistant, and in particular with the spoken content of such an audio presentation that is presented at particular points within the audio presentation. Analysis of an audio presentation may be performed to identify one or more entities addressed by, mentioned by, or otherwise associated with the audio presentation, and utterance classification may be performed to determine whether an utterance received during playback of the audio presentation is directed to the audio presentation, and in some instances, to a particular entity and/or point of playback in the audio presentation, thereby enabling a suitable response to be generated to the utterance.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for acoustic modeling of audio data. One method includes receiving audio data representing a portion of an utterance, providing the audio data to a trained recurrent neural network that has been trained to indicate the occurrence of a phone at any of multiple time frames within a maximum delay of receiving audio data corresponding to the phone, receiving, within the predetermined maximum delay of providing the audio data to the trained recurrent neural network, output of the trained neural network indicating a phone corresponding to the provided audio data using output of the trained neural network to determine a transcription for the utterance, and providing the transcription for the utterance.

Abstract: Examples relate to on-device non-semantic representation fine-tuning for speech classification. A computing system may obtain audio data having a speech portion and train a neural network to learn a non-semantic speech representation based on the speech portion of the audio data. The computing system may evaluate performance of the non-semantic speech representation based on a set of benchmark tasks corresponding to a speech domain and perform a fine-tuning process on the non-semantic speech representation based on one or more downstream tasks. The computing system may further generate a model based on the non-semantic representation and provide the model to a mobile computing device. The model is configured to operate locally on the mobile computing device.

Abstract: A method for streaming action fulfillment receives audio data corresponding to an utterance where the utterance includes a query to perform an action that requires performance of a sequence of sub-actions in order to fulfill the action. While receiving the audio data, but before receiving an end of speech condition, the method processes the audio data to generate intermediate automated speech recognition (ASR) results, performs partial query interpretation on the intermediate ASR results to determine whether the intermediate ASR results identify an application type needed to perform the action and, when the intermediate ASR results identify a particular application type, performs a first sub-action in the sequence of sub-actions by launching a first application to execute on the user device where the first application is associated with the particular application type. The method, in response to receiving an end of speech condition, fulfills performance of the action.

Abstract: Implementations relate to receiving natural language input that requests an automated assistant to provide information and processing the natural language input to identify the requested information and to identify one or more predicted actions. Those implementations further cause a computing device, at which the natural language input is received, to render the requested information and the one or more predicted actions in response to the natural language input. Yet further, those implementations, in response to the user confirming a rendered predicted action, cause the automated assistant to initialize the predicted action.

Abstract: Methods, systems and apparatus, including computer programs encoded on computer storage media. One of the methods includes receiving an audio waveform that includes a respective audio sample for each of a plurality of time steps, processing the audio waveform using an encoder neural network to generate a plurality of feature vectors representing the audio waveform, generating a respective coded representation of each of the plurality of feature vectors using a plurality of vector quantizers that are each associated with a respective codebook of code vectors, wherein the respective coded representation of each feature vector identifies a plurality of code vectors, including a respective code vector from the codebook of each vector quantizer, that define a quantized representation of the feature vector, and generating a compressed representation of the audio waveform by compressing the respective coded representation of each of the plurality of feature vectors.

Abstract: A first electronic device of a local group of connected electronic devices receives a first voice command including a request for a first operation assigns a first target device from among a local group of connected electronic devices as an in-focus device for performing the first operation, causes the first operation to be performed by the first target device via operation of a server-implemented common network service, receives a second voice command including a request for a second operation and based on a determination that the second voice command does not include an explicit designation of a second target device and a determination that the second operation can be performed by the first target device, assigning the first target device.

Abstract: A method is implemented to move media content display between two media output devices. A server system determines in a voice message recorded by an electronic device a media transfer request that includes a user voice command to transfer media content to a destination media output device and a user voice designation of the destination media output device. The server system then obtains from a source cast device instant media play information including information of a media play application, the media content that is being played, and a temporal position. The server system further identifies a destination cast device associated in a user domain coupled to the destination media output device, and sends to the destination cast device a media play request including the instant media play information, thereby enabling the destination cast device to execute the media play application for playing the media content from the temporal location.

Abstract: Systems and methods of evaluating information in a computer network environment are provided. A data processing system can obtain or receive a content placement criterion, such as a keyword, associated with a content item and can determine a quality metric of the content placement criterion. The data processing system can identify a candidate content placement criterion and expand placement criteria associated with the content item to include the content placement criterion and the candidate content placement criterion based at least in part on an evaluation of the quality metric of the content placement criterion. The data processing system can expand placement criteria based in part on a throttling parameter. The data processing system can identify a correlation between a document and the placement criteria to identify appropriate content items for the document.

Abstract: Methods, systems, and computer readable medium include receiving, from a user device, a request for a digital component, receiving a data set of user-provided information regarding a particular product design, generating, based on the data set, a visual representation mapping design factors to potential product design geometry, segmenting the visual representation based on the design factor values, selecting a segment that contains less than a threshold amount of data points, selecting a digital component, dynamically altering, based on the selected segment, a presentation of the digital component that solicits information from the user about the segment, distributing, for presentation at the user device, the dynamically-altered digital component, obtaining, from the user device through a feedback mechanism, feedback information regarding the segment that contains less than the threshold amount of data points, and modifying a design factor of the particular product design based, at least in part, on the feedb

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for an automated calling system are disclosed. In one aspect, a method includes the actions of receiving audio data of an utterance spoken by a user who is having a telephone conversation with a bot. The actions further include determining a context of the telephone conversation. The actions further include determining a user intent of a first previous portion of the telephone conversation spoken by the user and a bot intent of a second previous portion of the telephone conversation outputted by a speech synthesizer of the bot. The actions further include, based on the audio data of the utterance, the context of the telephone conversation, the user intent, and the bot intent, generating synthesized speech of a reply by the bot to the utterance. The actions further include, providing, for output, the synthesized speech.

Abstract: Methods, systems, and media for transferring playback of media content are provided.

Abstract: A quantum processor includes: a first chip comprising a qubit array, in which a plurality of qubits within the qubit array define an enclosed region on the first chip, in which each qubit of the plurality of qubits that define the enclosed region is arranged to directly electromagnetically couple to an adjacent qubit of the plurality of qubits that define the enclosed region, and in which each qubit of the qubit array comprises at least two superconductor islands, and a second chip bonded to the first chip, the second chip including one or more qubit control elements, in which the qubit control elements are positioned directly over the enclosed region of the first chip.

Abstract: Methods, systems, and apparatus for performing a matrix multiplication using a hardware circuit are described. An example method begins by obtaining an input activation value and a weight input value in a first floating point format. The input activation value and the weight input value are multiplied to generate a product value in a second floating point format that has higher precision than the first floating point format. A partial sum value is obtained in a third floating point format that has a higher precision than the first floating point format. The partial sum value and the product value are combined to generate an updated partial sum value that has the third floating point format.

Abstract: Methods, systems, and media for managing notifications directed to multiple applications installed on a user device are provided. In some embodiments, a method for managing notifications is provided, the method comprising: receiving, using a hardware processor, a first notification for a first application; determining a first user device associated with the first application; receiving a second notification for a second application; determining a second user device associated with the second application; determining that the first user device and the second user device are the same device; determining that the first notification and the second notification are corresponding notifications; determining that the first notification has priority over the second notification; sending the first notification to the first user device upon determining that the first notification has priority over the second notification; and inhibiting the second notification from being sent to the first user device.

Abstract: A method includes determining a measured eye gaze position of an eye of a user. The method also includes determining a first incremental change in the measured eye gaze position by processing the measured eye gaze position by a long short-term memory (LSTM) model, and determining a first predicted eye gaze position of the eye at a first future time based on the measured eye gaze position and the first incremental change. The method additionally includes determining a second incremental change in the first predicted eye gaze position by processing the first predicted eye gaze position by the LSTM model, and determining a second predicted eye gaze position of the eye at a second future time subsequent to the first future time based on the first predicted eye gaze position and the second incremental change.