Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for using machine learning models to expand user groups while preserving user privacy and data security are described. In one aspect, a method includes receiving, for a web-based resource, a set of user group identifiers for a set of user interest groups that each include, as members, one or more users that requested content from the web-based resource over a given time period. A seed user list that includes user identifiers for at least a portion of the users in the set of user interest groups is created. A similar audience machine learning model is generated based on a set of one or more feature values corresponding to one or more features of the users corresponding to the user identifiers in the seed user list. A set of similar users is identified using the model.

Abstract: Precise polarimetric imaging of polarization-sensitive nanoparticles is essential to resolving their accurate spatial positions beyond the diffraction limit. However, conventional technologies typically employ mechanically rotated optical components, causing beam deviation errors that cannot be corrected beyond the diffraction limit. To overcome this limitation, a spatially stable nano-imaging system is presented for polarization-sensitive nanoparticles. In this disclosure, it is demonstrated that by integrating a voltage-tunable polarizer into optical microscopy, one is able to achieve high precision nano-imaging without mechanically induced image shift. It is also demonstrated that by integrating a voltage-tunable polarizer into photographic imaging system, one can achieve high-speed suppression of reflection glare and/or high-speed variation light exposure to the imager.

Abstract: An image reconstruction method includes capturing a reference image of the specimen and capturing a set of original images based on the reference image. The method includes generating a set of analyzed images based on the set of original images by determining an intensity distribution for each pixel of each original image of the set of original images and combining the intensity distribution at each pixel location across the set of original images into an intermediate image. The method includes, identifying an object in the intermediate image. In response to identifying the object in the intermediate image, determining an intensity value of the object in each original image of the set of original images and generating an improved image of the object based on the determined intensity value of the object. The method includes generating a final image including the improved image of the object and displaying the final image.

Abstract: A computing device receives one or more idle state conditions that indicate an idle device state for a class of devices associated with the computing device. The computing device receives an over the air (OTA) update of a firmware of the computing device, where the OTA update is to be applied by the computing device responsive to detecting the idle device state of the computing device. The computing device identifies a device state of the computing device and determines whether the device state satisfies the one or more idle state conditions.

Abstract: Precise polarimetric imaging of polarization-sensitive nanoparticles is essential to resolving their accurate spatial positions beyond the diffraction limit. However, conventional technologies typically employ mechanically rotated optical components, causing beam deviation errors that cannot be corrected beyond the diffraction limit. To overcome this limitation, a spatially stable nano-imaging system is presented for polarization-sensitive nanoparticles. In this disclosure, it is demonstrated that by integrating a voltage-tunable polarizer into optical microscopy, one is able to achieve high precision nano-imaging without mechanically induced image shift. It is also demonstrated that by integrating a voltage-tunable polarizer into photographic imaging system, one can achieve high-speed suppression of reflection glare and/or high-speed variation light exposure to the imager.

Abstract: A mobile computing device includes one or more interfaces to connect to one or more devices, and one or more processing devices, connected with the one or more interfaces. The one or more processing devices are to establish a first wireless connection with a first device. The first device lacks resources to connect to a cloud service directly. The one or more processing devices are also to receive data from the first device, provide the data to the cloud service, and in response to detecting a migration condition, disconnect the first wireless connection to allow establishment of a second wireless connection between the first device and a second device such that the second device receives subsequent data from the first device and provides the subsequent data to the cloud service.

Abstract: An image reconstruction method includes capturing a reference image of the specimen and capturing a set of original images based on the reference image. The method includes generating a set of analyzed images based on the set of original images by determining an intensity distribution for each pixel of each original image of the set of original images and combining the intensity distribution at each pixel location across the set of original images into an intermediate image. The method includes, identifying an object in the intermediate image. In response to identifying the object in the intermediate image, determining an intensity value of the object in each original image of the set of original images and generating an improved image of the object based on the determined intensity value of the object. The method includes generating a final image including the improved image of the object and displaying the final image.

Abstract: A server determines a plurality of device templates that define a plurality of device attributes of a remote device connected to a gateway device. The server creates a virtual device from the plurality of device templates, wherein the virtual device is a virtual representation of the remote device. The server determines an attribute update for a first device attribute of the remote device. The server updates a second device attribute of the virtual device. The server generates an instruction for the gateway device to initiate the attribute update for the first device attribute. The server transmits the instruction to the gateway device, wherein the instruction causes the gateway device to generate a command for the remote device to perform the attribute update on the device attribute.

Abstract: A mobile computing device includes one or more interfaces to connect to one or more devices, and one or more processing devices, connected with the one or more interfaces. The one or more processing devices are to establish a first wireless connection with a first device. The first device lacks resources to connect to a cloud service directly. The one or more processing devices are also to receive data from the first device, provide the data to the cloud service, and in response to detecting a migration condition, disconnect the first wireless connection to allow establishment of a second wireless connection between the first device and a second device such that the second device receives subsequent data from the first device and provides the subsequent data to the cloud service.

Abstract: A server determines a plurality of device templates that define a plurality of device attributes of a remote device connected to a gateway device. The server creates a virtual device from the plurality of device templates, wherein the virtual device is a virtual representation of the remote device. The server determines an attribute update for a first device attribute of the remote device. The server updates a second device attribute of the virtual device. The server generates an instruction for the gateway device to initiate the attribute update for the first device attribute. The server transmits the instruction to the gateway device, wherein the instruction causes the gateway device to generate a command for the remote device to perform the attribute update on the device attribute.