Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a generator neural network to adapt input images.

Abstract: System and methods for displaying one or more assets on a client device based on device characteristics are provided. Code is transmitted to a client device. The code, when executed by the client device, causes a processor of the client device to determine a first device characteristic of the client device. A first layout may be selected based on the first device characteristic. The layout may include one or more cards. Each card may correspond to one or more assets. Each card may be modified based on a corresponding card characteristic. One or more assets may be requested. The assets may be displayed on the first client device. The code may be transmitted to another client device, which may select a different layout based on a different device characteristic.

Abstract: A computer-implemented method, computer program product, and computing system for rendering an annotatable image within an image viewer. An indication of an intent to annotate the annotatable image is received from a user. A meme generation interface is rendered with respect to the annotatable image. Meme annotation criteria is received from the user via the meme generation interface. The meme annotation criteria includes one or more of: a meme message, a meme position indicator, and a font type identifier. The annotatable image is modified based, at least in part, upon the meme annotation criteria, thus generating an annotated image. The annotated image is published to a meme publication website.

Abstract: Systems and methods for video conference content auto-retrieval and focus based on learned relevance is provided. In accordance with the systems and methods, audio streams and video streams from client devices participating in a video conference are received. Based on the audio streams, a subject being discussed during the video conference at a point in time is determined. A video stream that is most relevant to the subject being discussed during the video conference at the point in time is determined from the video streams. The determined video stream is provided to the client devices for presentation on the client devices while the subject is being discussed during the video conference.

Abstract: Systems and methods for creating a live copy of a data object from a production system for use by third party applications. The systems and methods include receiving at least one request for a copy of production data from an application; creating a live backup copy; creating a flash copy of the live backup copy, and a flash copy bitmap; creating a modified version of the live backup copy by changing a subset of data in the live backup copy; recording the changed subset of data using the flash copy bitmap; mounting, the modified version of the live backup copy to the application; and transforming the modified version of the live backup copy back to the live backup copy when unmounting the modified version of the live backup copy of the production data from the application by applying changes associated with the flash copy bitmap to the live backup copy.

Abstract: Aspects of the disclosure are directed to monitoring, alerting, and/or root causing network problems based on current network behavior and network events at any instant in time using a network behavior model. The network behavior model can learn and be updated with network states and events to correlate network problems and determine root causes of the network problems for alerting and/or automatic correction.

Abstract: The technology involves providing haptic feedback to a user of a computing device. For instance, user input associated with a program of the computing device is received by a user interface module of the computing device. One or more processors of the computing device determine a kind of interaction corresponding to the user input. The one or more processors identify whether the kind of interaction is associated with one or more haptic feedback effects of a curated suite of haptic effects. Upon identifying that the kind of interaction is associated with one or more haptic feedback effect, the one or more processors select a particular haptic feedback effect from the curated suite of haptic effects. And the one or more processors are able to cause a haptic feedback module of the computing device to provide the particular haptic feedback effect for sensation by the user.

Abstract: An apparatus for encoding an image block includes a processor that presents, to a machine-learning model, the image block, obtains the partition decision for encoding the image block from the model, and encodes the image block using the partition decision. The model is trained to output a partition decision for encoding the image block by using training data for a plurality of training blocks as input, the training data including for a training block, partition decisions for encoding the training block, and, for each partition decision, a rate-distortion value resulting from encoding the training block using the partition decision. The model is trained using a loss function combining a partition loss function based upon a relationship between the partition decisions and respective predicted partitions, and a rate-distortion cost loss function based upon a relationship between the rate-distortion values and respective predicted rate-distortion values.

Abstract: A system according to an embodiment of the present invention includes at least two virtual machines running on a hardware platform using either a hosted or a bare metal hypervisor. The virtual machines may communicate with an agent-server resident in the host operating system or in one of the virtual machines to switch control of the hardware component, such as graphics hardware, from one virtual machine to another.

Abstract: Methods, systems, and media for identifying videos containing objectionable content are provided.

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 technology generally relates to determining a status of an optical channel between two components. For example, the components may be connected via an optical link including a plurality of optical channels. A first portion of the optical channels may be in use such that a second portion of the optical channels may be redundant channels. The component may include a test generator that transmits and receives a data pattern over each channel. The test generator may determine, based on the received data pattern, a status of each of the channels. If the status of a given channel is a failure status, the component may divert data for the given channel to a redundant channel.

Abstract: This document generally describes a neural network training system, including one or more computers, that trains a recurrent neural network (RNN) to receive an input, e.g., an input sequence, and to generate a sequence of outputs from the input sequence. In some implementations, training can include, for each position after an initial position in a training target sequence, selecting a preceding output of the RNN to provide as input to the RNN at the position, including determining whether to select as the preceding output (i) a true output in a preceding position in the output order or (ii) a value derived from an output of the RNN for the preceding position in an output order generated in accordance with current values of the parameters of the recurrent neural network.

Abstract: An IC die includes a temperature control element suitable for three-dimensional IC package with enhanced thermal control and management. The temperature control element may assist temperature control of the IC die when in operation. In one example, the temperature control element may have a plurality of thermal dissipating features disposed on a first surface of the IC die to efficiently control and dissipate the thermal energy from the IC die when in operation. A second surface opposite to the first surface of the IC die may include a plurality of devices, such as semiconductors transistors, devices, electrical components, circuits, or the like, that may generate thermal energy when in operation. The temperature control element may provide an IC die with high efficiency of heat dissipation that is suitable for 3D IC package structures and requirements.

Abstract: Methods, systems, and media for generating and evaluating street grids comprising: receiving street grid information corresponding to a plurality of locations, wherein the street grid information corresponding to a location is associated with vehicular traffic information; training a pedestrian comfort model using the street grid information and the vehicular traffic information, wherein an output of the pedestrian comfort model is a predicted pedestrian comfort score that is based on traffic congestion from the vehicular traffic information; receiving a plurality of potential street grids; evaluating each potential street grid in the plurality of potential street grids using the trained pedestrian comfort model, wherein the trained pedestrian comfort model generates predicted pedestrian comfort scores for portions of each potential street grid; and generating an augmented map of each potential street grid that presents the predicted pedestrian comfort scores for each portion of each potential street grid.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using embedded function with a deep network. One of the methods includes receiving an input comprising a plurality of features, wherein each of the features is of a different feature type; processing each of the features using a respective embedding function to generate one or more numeric values, wherein each of the embedding functions operates independently of each other embedding function, and wherein each of the embedding functions is used for features of a respective feature type; processing the numeric values using a deep network to generate a first alternative representation of the input, wherein the deep network is a machine learning model composed of a plurality of levels of non-linear operations; and processing the first alternative representation of the input using a logistic regression classifier to predict a label for the input.

Abstract: The present disclosure is directed to systems and methods for performing reading comprehension with machine learning. More specifically, the present disclosure is directed to a Neural Symbolic Reader (example implementations of which may be referred to as NeRd), which includes a reader to encode the passage and question, and a programmer to generate a program for multi-step reasoning. By using operators like span selection, the program can be executed over a natural language text passage to generate an answer to a natural language text question. NeRd is domain-agnostic such that the same neural architecture works for different domains. Further, NeRd is compositional such that complex programs can be generated by compositionally applying the symbolic operators.

Abstract: A method includes receiving data objects, determining a predicted lifespan of each data object, and instantiating multiple shard files. Each shard file has an associated predicted lifespan range. The method also includes writing each data object into a corresponding shard file having the associated predicted lifespan range that includes the predicted lifespan of the respective data object and storing the shard files in a distributed system. The method also includes determining whether any stored shard files satisfy a compaction criteria based on a number of deleted data objects in each corresponding stored shard file. For each stored shard file satisfying the compaction criteria, the method also includes compacting the stored shard file by rewriting the remaining data objects of the stored shard file into a new shard file.

Abstract: A system enables universal remote media control across multiple platforms, devices, and users. A protocol allows a cast controller to have access to media operations and a state(s) associated with media content. The system receives commands from a cast controller, provides the commands to a media player, loads new media content into the media player, based on the commands, and receives state notifications from the media player. Another cast controller can receive the state notifications from the media player and control the media player based on the media operations and state(s) associated with media content.