Abstract: Among other things, the present disclosure provides various agents. In some embodiments, provided agents can bind to beta-catenin. In some embodiments, the present disclosure provides technologies for modulating beta-catenin functions. In some embodiments, the present disclosure provides technologies for preventing and/or treating conditions, disorders or diseases associated with beta-catenin. In some embodiments, the present disclosure provides designed amino acids which can provide improved properties and/or activities. In some embodiments, the present disclosure provides agents comprising such amino acids.

Abstract: Implementations relate to generating multi-modal response(s) through utilization of large language model(s) (LLM(s)). Processor(s) of a system can: receive natural language (NL) based input, generate a multi-modal response that is responsive to the NL based output, and cause the multi-modal response to be rendered. In some implementations, and in generating the multi-modal response, the processor(s) can process, using a LLM, LLM input (e.g., that includes at least the NL based input) to generate LLM output, and determine, based on the LLM output, textual content for inclusion in the multi-modal response and multimedia content for inclusion in the multi-modal response. In some implementations, the multimedia content can be obtained based on a multimedia content tag that is included in the LLM output and that is indicative of the multimedia content. In various implementations, the multimedia content can be interleaved between segments of the textual content.

Abstract: Devices, computer-readable media, and methods for making a cache admission decision regarding a video chunk are described. For instance, a processing system including at least one processor may obtain a request for a first chunk of a first video, determine that the first chunk is not stored in a cache, and apply, in response to the determining that the first chunk is not stored in the cache, a classifier to predict whether the first chunk will be re-requested within a time horizon, where the classifier is trained in accordance with a set of features associated with a plurality of chunks of a plurality of videos. When it is predicted via the classifier that the first chunk will be re-requested within the time horizon, the processing system may store the first chunk in the cache.

Abstract: Provided are methodology and system countering fraudulent document and/or image use when authentication of a transaction based on a given document or image use is required. Additionally provided is a manner of machine learning adapting the methodology for implementation thereof.

Abstract: A method for regression and time series forecasting includes obtaining a set of hierarchical time series, each time series in the set of hierarchical time series including a plurality of time series data values. The method includes determining, using the set of hierarchical time series, a basis regularization of the set of hierarchical time series and an embedding regularization of the set of hierarchical time series. The method also includes training a model using the set of hierarchical time series and a loss function based on the basis regularization and the embedding regularization. The method includes forecasting, using the trained model and one of the time series in the set of hierarchical time series, an expected time series data value in the one of the time series.

Abstract: Devices, computer-readable media, and methods for making a cache admission decision regarding a video chunk are described. For instance, a processing system including at least one processor may obtain a request for a first chunk of a first video, determine that the first chunk is not stored in a cache, and apply, in response to the determining that the first chunk is not stored in the cache, a classifier to predict whether the first chunk will be re-requested within a time horizon, where the classifier is trained in accordance with a set of features associated with a plurality of chunks of a plurality of videos. When it is predicted via the classifier that the first chunk will be re-requested within the time horizon, the processing system may store the first chunk in the cache.

Abstract: A device, system and method for content-adaptive resolution-enhancement is provided. A plurality of subframe streams are generated from a video stream, each of the plurality of subframe streams comprising a lower resolution version of the video stream, pixel-shifted from one another. A plurality of output subframe streams are generated from the plurality of subframe streams in a one-to-one relationship by: applying a plurality of video enhancement filters to each of the plurality of subframe streams, each of the plurality of video enhancement filters for enhancing different features of the video stream; and, combining one or more resulting enhanced subframe streams into a respective output subframe stream based on data in one or more regions of the video stream. One or more projectors are controlled to project the plurality of output subframe streams to combine the plurality of output subframe streams into a higher resolution projected video stream.

Abstract: A device, system and method for content-adaptive resolution-enhancement is provided. A plurality of subframe streams are generated from a video stream, each of the plurality of subframe streams comprising a lower resolution version of the video stream, pixel-shifted from one another. A plurality of output subframe streams are generated from the plurality of subframe streams in a one-to-one relationship by: applying a plurality of video enhancement filters to each of the plurality of subframe streams, each of the plurality of video enhancement filters for enhancing different features of the video stream; and, combining one or more resulting enhanced subframe streams into a respective output subframe stream based on data in one or more regions of the video stream. One or more projectors are controlled to project the plurality of output subframe streams to combine the plurality of output subframe streams into a higher resolution projected video stream.