Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing a machine learning model that is trained to perform a machine learning task. In one aspect, a method comprises receiving a request to train a machine learning model on a set of training examples; determining a set of one or more meta-data values characterizing the set of training examples; using a mapping function to map the set of meta-data values characterizing the set of training examples to data identifying a particular machine learning model architecture; selecting, using the particular machine learning model architecture, a final machine learning model architecture for performing the machine learning task; and training a machine learning model having the final machine learning model architecture on the set of training examples.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing a machine learning model that is trained to perform a machine learning task. In one aspect, a method comprises receiving a request to train a machine learning model on a set of training examples; determining a set of one or more meta-data values characterizing the set of training examples; using a mapping function to map the set of meta-data values characterizing the set of training examples to data identifying a particular machine learning model architecture; selecting, using the particular machine learning model architecture, a final machine learning model architecture for performing the machine learning task; and training a machine learning model having the final machine learning model architecture on the set of training examples.

Abstract: Methods, systems, and apparatus for conducting a video conference. A location of one or more sets of eyes in an image may be determined. The relative location of an image capture device and/or a portion of a display device may be adjusted based on the determined location.

Abstract: Systems and methods of returning location and/or event results using information mined from non-textual information are provided. Non-textual information is captured using a hardware component of a user device. Text-based social media content input on the user device is then retrieved. A location of the user device is determined using a global positioning system module in the user device. The non-textual information is converted to a machine-analyzable format, and the converted non-textual information is compared to a database of converted non-textual information samples to analyze and classify the converted non-textual information. The classification is sent to a server for storage in a database in a manner that ties the classification to the geographical location of the user device.

Abstract: Techniques for locating and identifying mobile devices are described. According to various embodiments, an ambient sound signal may be detected using a microphone of a mobile device. Thereafter, it may be determined that the ambient sound signal corresponds to a predefined user query for assistance in locating the mobile device. A predefined response sound corresponding to the predefined user query may then be emitted, using a speaker of the mobile device. Additionally, user identification information may be displayed on a screen in response to detecting contact with the mobile device using at least one of an accelerometer and a gyroscope.

Abstract: Structured data sets including one or more attributes are identified, each structured data set associated with, for example, a particular user. Values corresponding the at least one of the one or more attributes in each structured data set are identified. A condition established by a content provider, for instance, an advertiser, is compared to the identified values to determine if the condition is satisfied. When the condition is satisfied, one or more content items are identified to the users associated with the structured data sets containing identified values satisfying the condition.

Abstract: Techniques for locating and identifying mobile devices are described. According to various embodiments, an ambient sound signal may be detected using a microphone of a mobile device. Thereafter, it may be determined that the ambient sound signal corresponds to a predefined user query for assistance in locating the mobile device. A predefined response sound corresponding to the predefined user query may then be emitted, using a speaker of the mobile device. Additionally, user identification information may be displayed on a screen in response to detecting contact with the mobile device using at least one of an accelerometer and a gyroscope.

Abstract: Techniques for locating and identifying mobile devices are described. According to various embodiments, an ambient sound signal may be detected using a microphone of a mobile device. Thereafter, it may be determined that the ambient sound signal corresponds to a predefined user query for assistance in locating the mobile device. A predefined response sound corresponding to the predefined user query may then be emitted, using a speaker of the mobile device. Additionally, user identification information may be displayed on a screen in response to detecting contact with the mobile device using at least one of an accelerometer and a gyroscope.

Abstract: Methods, systems, and apparatus for conducting a video conference. A location of one or more sets of eyes in an image may be determined. The relative location of an image capture device and/or a portion of a display device may be adjusted based on the determined location.

Abstract: Techniques for locating and identifying mobile devices are described. According to various embodiments, an ambient sound signal may be detected using a microphone of a mobile device. Thereafter, it may be determined that the ambient sound signal corresponds to a predefined user query for assistance in locating the mobile device. A predefined response sound corresponding to the predefined user query may then be emitted, using a speaker of the mobile device. Additionally, user identification information may be displayed on a screen in response to detecting contact with the mobile device using at least one of an accelerometer and a gyroscope.

Abstract: Structured data sets including one or more attributes are identified, each structured data set associated with, for example, a particular user. Values corresponding the at least one of the one or more attributes in each structured data set are identified. A condition established by a content provider, for instance, an advertiser, is compared to the identified values to determine if the condition is satisfied. When the condition is satisfied, one or more content items are identified to the users associated with the structured data sets containing identified values satisfying the condition.

Abstract: Methods, systems, and apparatus for conducting a video conference. A location of one or more sets of eyes in an image may be determined. The relative location of an image capture device and/or a portion of a display device may be adjusted based on the determined location.

Abstract: Techniques for locating and identifying mobile devices are described. According to various embodiments, an ambient sound signal may be detected using a microphone of a mobile device. Thereafter, it may be determined that the ambient sound signal corresponds to a predefined user query for assistance in locating the mobile device. For the, a predefined response sound corresponding to the predefined user query may be emitted, using a speaker of the mobile device.

Abstract: A system includes one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the computers to implement a combined machine learning model for processing an input including multiple features to generate a predicted output for the machine learning input. The combined model includes: a deep machine learning model configured to process the features to generate a deep model output; a wide machine learning model configured to process the features to generate a wide model output; and a combining layer configured to process the deep model output generated by the deep machine learning model and the wide model output generated by the wide machine learning model to generate the predicted output, in which the deep model and the wide model have been trained jointly on training data to generate the deep model output and the wide model output.

Abstract: Techniques for locating and identifying mobile devices are described. According to various embodiments, an ambient sound signal may be detected using a microphone of a mobile device. Thereafter, it may be determined that the ambient sound signal corresponds to a predefined user query for assistance in locating the mobile device. For the, a predefined response sound corresponding to the predefined user query may be emitted, using a speaker of the mobile device.

Abstract: Methods, systems, and apparatus for conducting a video conference. A location of one or more sets of eyes in an image may be determined. The relative location of an image capture device and/or a portion of a display device may be adjusted based on the determined location.

Abstract: Techniques for locating and identifying mobile devices are described. According to various embodiments, an ambient sound signal may be detected using a microphone of a mobile device. Thereafter, it may be determined that the ambient sound signal corresponds to a predefined user query for assistance in locating the mobile device. For the, a predefined response sound corresponding to the predefined user query may be emitted, using a speaker of the mobile device.

Abstract: Techniques for locating and identifying mobile devices are described. According to various embodiments, an ambient sound signal may be detected using a microphone of a mobile device. Thereafter, it may be determined that the ambient sound signal corresponds to a predefined user query for assistance in locating the mobile device. For the, a predefined response sound corresponding to the predefined user query may be emitted, using a speaker of the mobile device.

Abstract: Techniques for locating and identifying mobile devices are described. According to various embodiments, an ambient sound signal may be detected using a microphone of a mobile device. Thereafter, it may be determined that the ambient sound signal corresponds to a predefined user query for assistance in locating the mobile device. For the, a predefined response sound corresponding to the predefined user query may be emitted, using a speaker of the mobile device.

Abstract: Methods, systems, and apparatus for conducting a video conference. A location of one or more sets of eyes in an image may be determined. The relative location of an image capture device and/or a portion of a display device may be adjusted based on the determined location.