Abstract: This specification discloses systems, method and apparatus for performing operations relating to video generation and/or video encoding using machine-learning models, such as latent diffusion models. In some aspects, latent diffusion models are used to generate a latent representation of a generated video, which is then decoded into an output video with a decoder model.

Abstract: Digital cameras include an image sensor and an image signal processor. The image signal processor processes raw image data received with the image sensor, accounting for a variety of effects such lens characteristics, Bayer filter color bias, white balance, color intensity effects, or gamma effects. While it is possible to perform this process at the full resolution of the image, advantage can be gained by performing such processing at a higher resolution within a region of interest and at a lower resolution outside the region of interest. In some examples, an image signal processor includes a portion that performs image signal processing on a down-sampled version of the raw image, as well as a high-resolution portion that performs processing on the normal resolution raw image to generate an output image. This technique reduces the overall work needed to process an image received from an image sensor.

Abstract: A method for implementing a proof-of-work challenge for transmission of data to a non-authenticated gateway is disclosed. The method includes receiving, by the gateway and from a device, a challenge request; and transmitting a proof-of-work challenge to the device. The method further includes receiving, from the device, a solution to the challenge, wherein the solution to the challenge accompanies data. The method further includes verifying a validity of the solution to the challenge; and storing and/or processing the data, responsive at least in part to the solution being valid for the challenge. In an example, the solution to the challenge is to be derived by the device, without an intervention by a user of the device. In an example, the challenge request and the solution to the challenge are received from a library that is packaged with a mobile application being executed within the device.

Abstract: A computer-implemented system can implement a temporal and context-based transformer for improved communication protocol selection across disparate networks. The system can train a transformer-based neural network using embeddings generated separately from, respectively, profile attributes, channel-specific behaviors, external clinical events and/or observed outcomes. The transformer-based neural network can be trained to reconstruct masked events and inter-event time gaps, then fine-tuned with a dual-loss objective that simultaneously preserves behavioral grammar and maximizes outcome prediction accuracy. During live operation the model ingests current profile, real-time telemetry and new contextual events to temporally and contextually select communication channels to generate events across disparate networks.

Abstract: Techniques for a multi-level authentication within a cloud environment are disclosed. A first authentication request is received by an identity and access management (IAM) service from a device associated with a user. The first request is to authenticate the user for accessing one or more cloud resources through a gateway of the cloud environment. Responsive to the first authentication request, a redirection is performed to submit a second authentication request to an identity provider (IdP) to authenticate the user. A first token indicating a first identity for the user based on the first authentical is received by the IAM service, here the first authentication was performed by the IdP. The IAM service performs a second authentication of the user. The IAM service issues a second token indicating a second identity for the user. The device gains access to the one or more cloud resources, based on the second token.

Abstract: There is described a neural network system for determining a similarity measure between a query data item and a set of support data items. The neural network system is implemented by one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising receiving the query data item and obtaining a support set of one or more support data items comprising a support key embedding and a support value embedding for each respective support data item in the support set. The operations further comprise generating a query key embedding for the query data item using a key embedding neural network subsystem configured to process a data item to generate a key embedding.

Abstract: A method for implementing a proof-of-work challenge for transmission of data to a non-authenticated gateway is disclosed. The method includes receiving, by the gateway and from a device, a challenge request; and transmitting a proof-of-work challenge to the device. The method further includes receiving, from the device, a solution to the challenge, wherein the solution to the challenge accompanies data. The method further includes verifying a validity of the solution to the challenge; and storing and/or processing the data, responsive at least in part to the solution being valid for the challenge. In an example, the solution to the challenge is to be derived by the device, without an intervention by a user of the device. In an example, the challenge request and the solution to the challenge are received from a library that is packaged with a mobile application being executed within the device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for tracking query points in videos using a point tracking neural network.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for unsupervised learning of object keypoint locations in images. In particular, a keypoint extraction machine learning model having a plurality of keypoint model parameters is trained to receive an input image and to process the input image in accordance with the keypoint model parameters to generate a plurality of keypoint locations in the input image. The machine learning model is trained using either temporal transport or spatio-temporal transport.

Abstract: Various systems and methods are presented regarding implementing one or more capabilities into a dialog flow occurring at an automated interface (e.g., a chatbot). A capability can be invoked at the interface in accordance with a user's requirements, e.g., the capability is a function to review data. An application programming interface (API) can be generated from the capability, wherein the API has features, parameters, metadata, etc., generated based on those of the capability. The API can be incorporated into a dialog, wherein the dialog can be subsequently presented on the interface (e.g., as part of a dialog flow). Interaction between the user and the dialog can cause the capability to be executed. Based upon the API features, etc., the API can be incorporated into a dialog, for example, by cloning a dialog, appending a dialog with the API, replacing a pre-existing API with the API in a dialog, and suchlike.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for unsupervised learning of object keypoint locations in images. In particular, a keypoint extraction machine learning model having a plurality of keypoint model parameters is trained to receive an input image and to process the input image in accordance with the keypoint model parameters to generate a plurality of keypoint locations in the input image. The machine learning model is trained using either temporal transport or spatio-temporal transport.

Abstract: A method of providing flexibility of an interchange value in card payments via a commercial flexible interchange program includes receiving an authorization request for payment authorization for a transaction from an acquirer. The authorization request includes information of an account of a buyer associated with an issuer and an interchange value. The method further includes, upon determining that the issuer and the acquirer are registered in the commercial flexible interchange program, sending the authorization request for payment authorization for the transaction to the issuer, receiving an authorization response message, and determining whether the authorization response message includes a decline or an authorization for the transaction. In response to determining that the authorization response message includes the decline, passing the authorization response message to the acquirer.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for animating images using point trajectories.

Abstract: The present invention relates to a stable ophthalmic composition comprising loteprednol or its pharmaceutically acceptable salt thereof, one or more suspending agents, and optionally one or more excipients.

Abstract: Techniques for automatically determining different data types found in databases are disclosed. In one example, a computer implemented method comprises receiving a portion of identifying information for one or more components of a database, and generating one or more descriptions for the one or more components based at least in part on the portion of the identifying information for the one or more components. The one or more descriptions are inputted to one or more machine learning models, and, using the one or more machine learning models, one or more data types associated with the one or more components are predicted. The prediction is based at least in part on the one or more descriptions.

Abstract: The present invention relates to a stable pharmaceutical composition comprising vasopressin or pharmaceutically acceptable salts thereof. The present invention further provides a method of increasing blood pressure in adults with vasodilatory shock by administering said pharmaceutical composition of vasopressin or pharmaceutically acceptable salts thereof.

Abstract: A method of providing flexibility of an interchange value in card payments via a commercial flexible interchange program includes receiving an authorization request for payment authorization for a transaction from an acquirer. The authorization request includes information of an account of a buyer associated with an issuer and an interchange value. The method further includes, upon determining that the issuer and the acquirer are registered in the commercial flexible interchange program, sending the authorization request for payment authorization for the transaction to the issuer, receiving an authorization response message, and determining whether the authorization response message includes a decline or an authorization for the transaction. In response to determining that the authorization response message includes the decline, passing the authorization response message to the acquirer.

Abstract: Techniques for automatically determining different data types found in databases are disclosed. In one example, a computer implemented method comprises receiving a portion of identifying information for one or more components of a database, and generating one or more descriptions for the one or more components based at least in part on the portion of the identifying information for the one or more components. The one or more descriptions are inputted to one or more machine learning models, and, using the one or more machine learning models, one or more data types associated with the one or more components are predicted. The prediction is based at least in part on the one or more descriptions.

Abstract: One embodiment provides a method, including: obtaining at least two documents, wherein one of the at least two documents comprises a revision different than another of the at least two documents; identifying, within each of the at least two documents, portions corresponding to groups of text containing a conceptual unit; assigning at least a subset of the identified portions to a category type corresponding to a topic of a given portion, wherein the assigning comprises (i) generating a semantic tag for the identified portions in the subset and (ii) tagging the identified portions in the subset with the semantic tag; and determining changes between the at least two documents, wherein the determining comprises (iii) aligning given portions across the at least two documents based upon a relationship between the given portions across the at least two documents, (iv) identifying semantic differences between the aligned portions, and (v) identifying any remaining unaligned portions.

Abstract: An artificial intelligence (AI) system is provided. The AI system simulates functions of human brain such as recognition and judgment by utilizing a machine learning algorithm such as deep learning, etc. and an application of the AI system. A method, performed by an electronic device, of outputting a response to a speech input by using an application, includes receiving the speech input, obtaining text corresponding to the speech input by performing speech recognition on the speech input, obtaining metadata for the speech input based on the obtained text, selecting at least one application from among a plurality of applications for outputting the response to the speech input based on the metadata, and outputting the response to the speech input by using the selected at least one application.