Abstract: This document describes methods, devices, systems, and means for fifth generation new radio uplink multiplexing assisted by shared grant-free transmission. A user equipment (UE) inserts a first cyclical redundancy check (CRC) into a transport block (TB), encodes the TB, including the CRC, into a codeword (CW). Based on receiving a preemption indicator for part of a first physical resource, the UE selects a first part of the CW for rate matching with a length based on a received uplink (UL) grant and the received preemption indicator. The UE transmits the first part of the CW using the first physical resource, selects a second part of the CW, inserts a second CRC in the selected second part of the CW, and transmits the second part of the CW using a second physical resource.

Abstract: A method of fabricating a device is presented. The method includes forming a multilayer stack (101?, 102?, 103?) on a substrate (10?, 100?) which has a principal surface. The multilayer stack includes a supporting layer (102?) formed over the principal surface of the substrate and a photoresist layer (103?) formed on the supporting layer, patterning the multilayer stack to form at least one opening such that the photoresist layer is undercut by the supporting layer and anisotropically dry etching the substrate.

Abstract: Methods, systems, and media for interacting with content using a second screen device are provided. In some implementations, the method comprises: receiving, from a remote media streaming device, a request to present media content items; sending, over the Internet, interactive content to the media streaming device as a stream of video; causing the interactive content to be presented by the media streaming device; causing a notification to be sent to a computing device associated with the media streaming device indicating that the content being presented by the media streaming device is interactive content; receiving instructions from the computing device to control how an object depicted in the interactive content is presented; updating the interactive content based on the instructions; sending the updated interactive content to the media streaming device as a stream of video; and causing the updated interactive content to be presented by the media streaming device.

Abstract: The present disclosure provides systems and methods for applying a volume gain to change the playback volume of a device by calculating a smoothed noise estimate. The smoothed noise estimate may calculated using an exponential smoothing method. The exponential smoothing method may include applying a weight factor to both a background noise estimate and a historical smoothed noise estimate. The weight factor may place more emphasis on either the background noise estimate or the historical smoothed noise estimate depending on the value of the weight factor. The value of the weight factor may change based on the type of environment the device is in, the speed of the background noise transitions, and/or historical data. The calculated smoothed noise estimate may be used to calculate a volume gain. The volume gain may be applied over a period of time such that the playback volume of the device changes smoothly.

Abstract: Systems, methods, and media for presenting media content are provided. In some implementations, a system for presenting media content is provided, the system comprising: a hardware processor that is programmed to: establish a connection with a media playback device; respond to a discovery request from a computing device presenting a media content item; establish a persistent communication channel with the computing device over a network in response to a request from the computing device to establish the persistent communication channel; receive identifying information of the media content item being presented by the computing device and identifying information of a source of the media content item being presented by the computing device; request the media content item from the identified source of the media content item as a stream of media content; and cause the media content item to be presented using the media playback device.

Abstract: An orchestration engine that interfaces with the various clouds to implement the system solution. The orchestration engine builds, configures, and converges the single system solution. The orchestration engine builds the system by instantiating machines and services on the various clouds. The orchestration engine configures the system according to input from the client and the solution provider and then converges the various systems by establishing relationships and connections between the various services. Optionally, the orchestration engine also runs tests to verify that the system is working properly. Once the system has been built, configured and converged, the orchestration engine provides the client with a single entry point for using the system solution.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a final progression score characterizing a likelihood that a state of a medical condition affecting eye tissue will progress to a target state in a future interval of time. In one aspect, a method comprises: obtaining: (i) an input image of eye tissue captured using an imaging modality, and (ii) a segmentation map of the eye tissue in the input image into a plurality of tissue types; providing the input image to each of one or more first classification neural networks to obtain a respective first progression score from each first classification neural network; providing the segmentation map to each of one or more second classification neural networks to obtain a respective second progression score from each second classification neural network; and generating the final progression score based on the first and second progression scores.

Abstract: A system and method are provided for data fusion between portable electronic devices and wearable accessories that is used to improve location information, particularly with respect to vertical location. A barometer sensor in a wearable accessory is used to obtain relative accurate height information, and an ultra wide band (UWB) radio is used to determine the distance between the wearable accessory and the portable electronic device. At a second timestamp, a barometer in a wearable device is used to calculate a difference in elevation between the first timestamp and the second timestamp. This measurement, along with a measured distance between the devices, can be used to accurately determine elevation. The wireless accessory and the portable electronic device communicate the obtained height and distance information. Accordingly, accurate navigation signals may be provided, even where multiple levels of roadways overlap, such as in parking garages or complex highway interchanges.

Abstract: Technology for automatic cross-device meeting authentication.

Abstract: Methods and systems for using a photosintering system to sinter one or more paint layers for a paint circuit. In one aspect, a photosintering system includes a photosintering device including a light source and multiple proximity sensors, a data communication link, and one or more processors in data communication with the photosintering device over the data communication link, and is operable to perform the operations of obtaining an image of a sintering area, generating a grid of the sintering area including multiple sub-areas, and for each sub-area of the multiple sub-areas: determine a respective fractional sintering energy for the sub-area, indicate how to position a photosintering device relative to the sub-area, obtain current positional information for the photo sintering device, determining that the current positional, determine an exposure sintering energy for the particular sub-area, and trigger exposure of the exposure sintering energy to the particular sub-area.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage medium, for training a neural network, wherein the neural network is configured to receive an input data item and to process the input data item to generate a respective score for each label in a predetermined set of multiple labels. The method includes actions of obtaining a set of training data that includes a plurality of training items, wherein each training item is associated with a respective label from the predetermined set of multiple labels; and modifying the training data to generate regularizing training data, comprising: for each training item, determining whether to modify the label associated with the training item, and changing the label associated with the training item to a different label from the predetermined set of labels, and training the neural network on the regularizing data.

Abstract: An accessory interface for an electronic host device includes a digital communication bus including a plurality of communication lines configured to pass data between the electronic host device and an electronic accessory device. The accessory interface further includes detection circuitry selectively coupled to the plurality of communication lines via a multiplexer and configured to detect analog voltage levels across the plurality of communication lines, determine a device type of the electronic accessory device based on the detected analog voltage levels, and control the multiplexer to couple the plurality of communication lines to a host processor of the electronic host device upon determining the device type of the electronic accessory device. The host processor is configured to receive the device type of the electronic accessory device and transmit data via the plurality of communication lines to the electronic accessory device in accordance with the device type of the electronic accessory device.

Abstract: A method and system for assessing a machine learning model providing a prediction as to the disease state of a patient from a 2D or 3D image of the patient or a sample obtained therefrom. The machine learning model produces a prediction of the disease state from the image. The method involves presenting on a display of a workstation the image of the patient or a sample obtained therefrom along with a risk score or classification associated with the prediction. The image is further augmented with high-lighting to indicate one or more regions in the image which affected the prediction produced by the machine learning model. Tools are provided by which the user may highlight one or more regions of the image which the user deems to be suspicious for the disease state. Inference is performed on the user-highlighted areas by the machine learning model. The results of the inference are presented to the user via the display.

Abstract: A computer-implemented method includes receiving information expressing a user's interest in one or more media programs, obtaining information indicative of popularity for a plurality of media programs responsive to the received information by individuals other than the user, and transmitting one or more recommendations of media programs for display to the user, from the plurality of media programs that relate to the received information.

Abstract: Wireless networks may have thousands of configurable parameters, so manual tuning is infeasible. A self-organizing network (SON) can provide automation. However, automated algorithms are not designed to interact with a wireless network, and network experimentation can jeopardize reliability. To address the former, a SON facilitator of a wireless network management node exposes an API that can translate network configuration information for consumption by a SON enhancer, which may implement an AI algorithm for network tuning. The SON facilitator can also transform output from the SON enhancer into directions for controlling a test scenario, including generating a DL SON message describing the test to a UE. To further increase reliability during the test scenario, the UE can be provisioned with two wireless connections. A first connection is unchanged by the test scenario for stability, and a second connection is used for testing.

Abstract: In one general aspect, a method can include detecting at least one indicator of user-initiated interaction with a computing device, obtaining data related to a demographic of a user of the computing device, identifying a current state of the computing device, determining that content displayed on a first display device included in the computing device is to be casted to a second display device separate from the computing device based on the at least one indicator of the user-initiated interaction with the computing device, the data related to a demographic of a user of the computing device, and the current state of the computing device, and casting the content displayed on the first display device to the second display device.

Abstract: A method for the automatic generation of a data model from an SQL statement includes receiving a single SQL statement in a user interface to a data analytics application, parsing the single SQL statement and extracting from the SQL statement different table references. The method also includes, for each one of the table references, directing a selection of all fields available in a corresponding table and storing the available fields in a collection of fields implicated by each table referenced by the table references. Finally, the method includes generating a data model with the fields in the collection of fields and displaying a view of the data model in a user interface of the data analytics application.

Abstract: Methods, systems, and apparatus, including computer-readable media, are described for performing vector reductions using a shared scratchpad memory of a hardware circuit having processor cores that communicate with the shared memory. For each of the processor cores, a respective vector of values is generated based on computations performed at the processor core. The shared memory receives the respective vectors of values from respective resources of the processor cores using a direct memory access (DMA) data path of the shared memory. The shared memory performs an accumulation operation on the respective vectors of values using an operator unit coupled to the shared memory. The operator unit is configured to accumulate values based on arithmetic operations encoded at the operator unit. A result vector is generated based on performing the accumulation operation using the respective vectors of values.

Abstract: An electronic document associated with users of a collaborative document platform is identified. The electronic document is associated with an approval data structure including entries that correspond to approval requests. A portion of an approval data structure is included within the content of the electronic document for presentation to a first user. A first user updates a first entry of the portion of the approval data structure included within the content of the electronic is detected. The update to the first entry corresponds to a first approval request for a second user to approve a portion of the electronic document. A first notification is transmitted to a second client device associated with the second user. The first notification indicates the first approval request. The approval data structure is updated to include data of the first entry.

Abstract: A method includes associating, by a computing system configured to provide a social media service, based on content of a post to the social media service, social media reactions for the content of the post with an action to be performed by an application. The method includes determining, by the computing system, a social media reaction to the content of the post. The method further includes publishing, by the computing system, an indication of the social media reaction to the social media service, and outputting, by the computing system and to a remote system that is executing the application, a command for the application to perform the action associated with the social media reactions.