Abstract: A method includes training a first machine learning model with a first dataset, to produce a first trained machine learning model to infer cybersecurity-oriented file properties and/or detect cybersecurity threats within a first domain. The first dataset includes labeled files associated with the first domain. The first trained machine learning model includes multiple layers, some of which are trainable. A second trained machine learning model is generated, via a transfer learning process, using (1) at least one trainable layer from the multiple trainable layers of the first trained machine learning model, and (2) a second dataset different from the first dataset. The second dataset includes labeled files associated with a second domain. The first domain has a different syntax, different semantics, and/or a different structure than that of the second domain. The second trained machine learning model (e.g.

Abstract: A method for enhancing dialog systems is disclosed herein. The method comprises maintaining an online marketplace that may include a plurality of dialog system extension elements. Each of the plurality of dialog system extension elements may include at least one of a dialog system plugin, a dialog system add-on, a dialog system update, and a dialog system upgrade. The method may further include receiving a selection of one of the plurality of dialog system extension elements from a software developer. The software developer may be associated with a dialog system. The method may continue with associating the one of the plurality of dialog system extension elements with the dialog system of the software developer.

Abstract: The present disclosure provides computing systems and methods for cataloging, retrieving, and/or organizing user-generated content associated with objects. Aspects of the disclosure are directed to a systems and methods which utilize computers to enable users to interact with libraries of user-generated content associated with cataloged objects. For example, a user can capture one or more images of a real-world object, label or otherwise annotate the object with various types of user-generated content and organize the object and its associated content into one or more libraries. The user-generated content can then be provided to other users upon the receipt of images of the same object or an object displaying similar features.

Abstract: In general, the subject matter described in this specification can be embodied in methods, systems, and program products for providing search results automatically to a user of a computing device. A spoken input provided by a user to a computing device is received. The spoken input is transmitted to a computer server system that is remote from the computing device. Search result information that is responsive to the spoken input is receiving by the computing device and in response to the transmitted spoken input. An alert is provided to the user that the device will connect the user to a target of the search result information if the user does not intervene to stop the connecting of the user. The user is connected to the target of the search result information based on a determination that the user has not intervened to stop the connecting of the user.

Abstract: Systems and methods for training models to predict dense correspondences across images such as human images. A model may be trained using synthetic training data created from one or more 3D computer models of a subject. In addition, one or more geodesic distances derived from the surfaces of one or more of the 3D models may be used to generate one or more loss values, which may in turn be used in modifying the model's parameters during training.

Abstract: A method includes providing, for display on a first client device of a first participant of a plurality of participants of a virtual meeting, a user interface (UI) during the virtual meeting. The UI includes multiple regions each presenting a visual item corresponding to a video stream generated by a client device of a respective participant of the virtual meeting. The method includes detecting engagement of the first participant with a first visual item corresponding to a video stream generated by a second client device of a second participant of the virtual meeting. The method further includes generating one or more information items associated with the second participant. The method further includes causing the one or more information items to be presented within the UI on the first client device of the first participant during the virtual meeting.

Abstract: Systems and methods for generative language model tuning can include training the generative language model to generate sets of output text tokens with set of intermediary text tokens with training examples that include input and output pairs. The training can include processing the input with the language model to determine a predicted output and a predicted set of intermediary text tokens. The predicted set of intermediary text tokens can then be evaluated based at least in part on the output associated with the input and the predicted output.

Abstract: Methods, computing systems, and technology for automatically classifying content items to be stored in a serving system. The system can include one or more processors and a plurality of serving servers. The plurality of serving servers can include a first server and a second server. The system can classify a first content item with a first-tier label based on a performance attribute of the first content item. Additionally, the system can classify a second content item with a second-tier label based on a performance attribute of the second content item. Moreover, the system can classify a third content item with a second-tier label based on a performance attribute of the third content item. Furthermore, the system can store the first content item and the second content item in the first server. Also, the system can store the first content item and the third content item in the second server.

Abstract: A method includes receiving image data for a plurality of objects of interest of a user, and receiving a query from the user referring to the plurality of objects and requesting a digital assistant to a discern color matching insight associated with the plurality of objects referred to by the query. The method includes processing the query and the image data to: identify, for each particular object of the plurality of objects referred to by the query, one or more corresponding colors of the particular object; and determine, based on the corresponding colors, the color matching insight associated with the plurality objects for the digital assistant to discern. The method includes generating, for output from a user device associated with the user, content indicating the discerned color matching insight associated with the plurality of objects.

Abstract: There is provided a method of operating a wearable heads-up display (WHUD), which method includes generating first and second lights having respectively first and second wavelengths within about 50 nm of one another. The method also includes directing the first and second lights onto an incoupler of a display optic of the WHUD along first and second ranges of input angles respectively. The first and second ranges of input angles correspond to positions of pixels of first and second portions of an image to be displayed by the WHUD. The incoupler has first and second angular bandwidths corresponding to the first and second wavelengths respectively. A combination of the first and second ranges of input angles is larger than each of the first and second angular bandwidths. Moreover, the method includes directing the first and second lights into a field of view of a user to form the image.

Abstract: Example embodiments of the present disclosure provide for an example method including obtaining data associated with media channels. The example method includes inputting the data into a machine learning model. The example method includes estimating, by the machine learning model, a structure of a causal graph. The example method includes applying a second machine learning model to the causal graph to estimate one or more parameters associated with the causal graph. The example method includes determining an allocation of resources to the media channels based on the causal graph.

Abstract: A method for document extraction includes receiving, from a user device associated with a user, an annotated document that includes one or more fields. Each respective field of the one or more fields of the annotated document is labeled by a respective annotation. The method includes clustering, using a template matching algorithm, the annotated document into a cluster and inducing, using the annotated document, a document template for the cluster. The method includes receiving, from the user device, an unannotated document including the one or more fields. The method includes clustering, using the template matching algorithm, the unannotated document into the cluster and, in response to clustering the unannotated document into the cluster, extracting, using the document template, the one or more fields.

Abstract: This document describes an accessory that may wirelessly connect to one or more host devices such that the accessory is able to receive content from two or more of the host devices at the same or substantially the same time. When each of the host devices is wirelessly coupled to the accessory, the accessory and each host device may determine a bit rate for the accessory to receive content from each host device. The accessory may receive content from a first host device at a first bit rate. Based on the content received, the accessory may determine a new bit rate for other host devices.

Abstract: Systems and methods are described for determining a capture volume associated with image content captured by at least one camera, determining depths associated with the image content, defining a viewing range in which stereoscopic effects are depicted when viewing the image content, determining a depth conflict between the image content and a boundary associated with the viewing range, the determining including detecting that at least one portion of the image content extends beyond the boundary associated with the viewing range and resolving the depth conflict for the at least one portion using the viewing range and at least one user interface element and generating, for rendering, modified image content with the resolved depth conflict.

Abstract: The disclosure provides a container orchestration system for preloading containers via secondary disks. The container orchestration system includes creating a disk image with preloaded containers. The disk image can include a container image pre-downloaded and pre-unpacked, ready to be used by container runtime. The container orchestration system includes creating a node with the disk image and attaching the disk to a node when a node is created. The container orchestration system further includes reading a container image from the disk. When the node creator configures the disk mode as a local cache, the container orchestration system can read the container image by caching the image from the disk without the image-pulling process.

Abstract: Techniques are disclosed that enable the generation of a content agent based on content parameter(s) determined from an initial user request for content as well as a dialog session to further refine the request for content. Various implementations include using the content agent to render additional content responsive to an additional user request. Additional or alternatively implementations include using the content agent to proactively render content to the user.