Abstract: A method for consolidating backup status data associated with backup operations performed at a specialty backup service platform into a centralized backup service platform may be provided. The method may include receiving data feeds associated with each backup operation, each data feed comprising backup status data associated with a backup operation performed at the specialty backup service platform. The method may also include extracting the backup status data from each data feed and following the extracting, conforming the backup status data at the centralized backup service platform to be consistent with the standardized format. The method may also include for each data feed received from the specialty backup service platform, running a performance-scan on the backup status data within the data feed for determining whether the backup operation was a success or a failure.

Abstract: Techniques for digital content capture recommendations are described and are implementable to generate a recommendation for a digital content capture at a particular location based on capture data stored in a database. The described implementations enable generation of a recommendation including a suggested location, time of day, date, and/or various device configuration settings to capture an instance of digital content such as a photograph. For instance, a request for a recommendation for a digital content capture at a particular location is received. A database including capture data associated with digital content captured at the particular location is accessed, and the recommendation is generated based on the capture data. The recommendation is then displayed in a user interface of a client device.

Abstract: Techniques for personalized digital content generation are described and are implementable to generate digital content based on content that depicts a scene from one or more locations and content that depicts one or more individuals. The described implementations, for instance, enable generation of a personalized photo album for a user depicting the user at the one or more locations. The described implementations further enable generation of an itinerary including personalized digital content. In an example, an input including a location is received. Environment content is generated that depicts a scene of the location. User content is generated that includes a representation of one or more individuals. Personalized content is then generated by incorporating the representation of the one or more individuals into the scene, and the personalized content is output for display. The personalized content is further usable to generate a personalized itinerary for a user.

Abstract: Techniques for personalized product recommendations based on an itinerary are described and are implementable to generate a recommendation for a good and/or service based on product data associated with a destination. The described implementations, for instance, enable generation of a recommendation for a user to acquire the good and/or service prior to visiting the destination based on digital content associated with the destination. The described implementations further enable generation of synthetic digital content that depicts the user at the destination with the good and/or service. Additionally, the techniques described herein include a monitoring system that is operable to detect a development related to the destination, and generate an updated recommendation based on the development.

Abstract: Systems, methods, and computer-readable media are disclosed for systems and methods for dynamic product summary images. The dynamic product summary images may be displayed on product pages or in association with individual product search results. The dynamic product summary images may comprise a number of different visual icons that provide a customer quick and easily-digestible information about a product. The dynamic product summary image may also be specific to the user such that different users may be presented with different icons based on details about the product that they are likely to find most important. For example, a dynamic product summary image for a laptop may include an icon indicating a processor type, an icon indicating a graphics card type, an icon indicating an operating system, etc. This provides for a more efficient product browsing process and mitigates or eliminates the need for the customer to search the entire product page for important details about the product.

Abstract: Techniques for personalized product recommendations based on an itinerary are described and are implementable to generate a recommendation for a good and/or service based on product data associated with a destination. The described implementations, for instance, enable generation of a recommendation for a user to acquire the good and/or service prior to visiting the destination based on digital content associated with the destination. The described implementations further enable generation of synthetic digital content that depicts the user at the destination with the good and/or service. Additionally, the techniques described herein include a monitoring system that is operable to detect a development related to the destination, and generate an updated recommendation based on the development.

Abstract: In aspects of display photo update recommendations, a catalyst is identified for updating a display photo of a user on a social media website. Further, a first collection of photos that are associated with the catalyst are retrieved from a photo gallery maintained in memory of a computing device. Using a machine learning model trained on a second collection of display photos utilized by connections of the user on the social media website, one or criteria are determined for display photos. Moreover, candidate display photos that satisfy the one or more criteria are identified from the first collection of photos and output to the photo gallery.

Abstract: Techniques for intelligently routing IO to a storage class memory (SCM) namespace are disclosed. A configuration for a namespace is determined, where the configuration indicates a type of IO that the namespace is structured to handle. Details about the configuration of the namespace are stored in a repository. A forwarding rule is generated based on the namespace's stored configuration. When incoming IO having attributes similar to that type is received, implementation of the forwarding rule causes the incoming IO to be directed to the namespace. Attributes of a particular incoming IO are determined. As a result of the attributes satisfying a similarity threshold relative to the type, the forwarding rule is implemented such that the particular incoming IO is directed to the namespace.

Abstract: Embodiments include a method of storing digital data in a blockchain by receiving the digital data from a user, deduplicating the data in a deduplication system of the user to form deduplicated data, and encoding the deduplicated data into an array format for storage on a blockchain. A smart contract is deployed for deduplication on the destination side of the data, and the deduplicated data is encoded into a Binary Aligned Map (BAM) format for storage on the blockchain. A process on the destination side stores the deduplicated array data as a next block in the blockchain only if the next block agrees with the smart contract, and the blockchain is stored in system storage comprising hard disk, solid state, tape, or optical devices.

Abstract: Systems and methods are provided for context-aware maintenance window identification. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: estimate a completion time of a maintenance operation; predict future usage of the IHS; identify a time window for the maintenance operation based upon the estimation and the prediction.

Abstract: A message broker resource monitoring service obtains message broker resource parameter data of a resource, based on communications of a message broker. Based on the resource parameter data and historical data, the message broker resource monitoring service obtains a predicted message delivery time value, which can be in association with confidence. If the predicted message delivery time value satisfies a resource deletion criterion, e.g., the predicted message delivery time value, with sufficient confidence, exceeds a threshold value, the message broker resource monitoring service triggers an action to delete the resource. To obtain the predicted value, a regression such as symmetric conformal quantile regression can be applied to the parameter data, e.g., to obtain a predicted message delivery time/latency value.

Abstract: The embodiments herein provide a system and method for personalized cartoon image generation. The method (100) comprises launching a keyboard interface (101), capturing a digital picture (102), face segmentation using neural network (103), normalization of segmented face (104), face cartoonification (105), which generates bobble head, facial landmark extraction (106), facial expression feature transfer (109) and customization of the generated plurality of cartoon images (110). Hence, the embodiments herein helps in creation of personalized plurality of cartoon images to make the user part of the conversations and the graphics or content shared look similar to the user input face and more aesthetically pleasing instead of using any reference stickers to convey the messages.

Abstract: An addition system for introducing particulate material into an industrial process is disclosed. The addition system comprises a vessel for holding the particulate material, wherein the vessel has a top and a bottom; one or more weighing devices; a controller for controlling operation of the addition system; a base plate to support the vessel and optionally the controller; and three or more legs, each leg having an uppermost section that connects to the vessel and a foot that is connected to the base plate. The widest diameter of the vessel is less than the diameter of a circle drawn through the feet of the legs. The one or more weighing device are mounted on the base plate and support the legs of the vessel.

Abstract: An actionable content generation system (ACGS) and a method for generating and rendering intent-based actionable content in real time are provided. The ACGS, integrated within an input interface, for example, a keyboard, detects and simultaneously analyzes one or more messages being entered by a user in an input field of a user application using the input interface in real time. The ACGS generates tokens from the message(s) and determines intent with a confidence element from the tokens in real time based on a stored mapping and a confidence computation. The ACGS generates actionable content based on the intent using campaign data. The ACGS renders at least one element containing the actionable content on a graphical user interface and/or the input interface for interaction by the user and performance of one or more recommended actions.

Abstract: The present invention discloses a system and for sentence completion in an edge device. The method comprises receiving input from a user through a user interface (202); scrutinizing a length of the received input by a smart sentence composer; sanitizing the received input text and restricting the length of the input text to be within a preset threshold number; splitting the received input text from into letters/words (208); predicting several words and a cluster of most probable word's indices by the smart sentence composer (210), and wherein the word's indices have a similarity above the preset threshold number; converting the word's indices to words using index to word mapping (212); choosing the word/words in the cluster having highest score for prediction (214); and the words are continuously predicted until the end of token of word index (216), is determined for completing the sentence prediction.

Abstract: The present invention provides systems and methods for dynamic word prediction and suggestion. The method includes an AI engine configured to render a touch-enabled keyboard interface on a display unit of the electronic device, identify a plurality of elements of an input message of a user on a messaging application and transform the input message into an array of a specific numbers based on the plurality of elements. The method further includes converting the array into a 2D matrix of embeddings by the AI engine, wherein the embeddings include semantic information of the input message to identify a context of the input message and converting the matrix into an output array with a changed dimension. The AI engine is further configured to convert the output array into probabilities of one or more words corresponding to the input message of the user on the messaging application.

Abstract: A method for testing and analyzing privacy of a mobile application is disclosed. The method includes displaying (203)/ (502) a list of mobile devices connected to a privacy testing system; enabling (202) a user to select a target mobile application for carrying out a privacy analysis and testing; checking (204)/ (504) if an android debug bridge (ADB) command line tool is enabled on the mobile device; employing (215)/ (508) an SSL unpinning process if the mobile application is embedded with SSL pinning; scanning (225)/ (510) one or more encryptions and one or more obfuscations used by the target mobile application; monitoring (220)/ (514) one or more file access requests generated by the target mobile application and generating (230)/ (516) an analysis testing report of the target mobile application.

Abstract: A system including an avatar generation engine (AGE) (607) and a method for automatically generating an avatar with pronounced features are provided. The AGE (607) extracts a primary image of a primary component, for example, a face component, and a secondary image of a secondary component, for example, a hair component, from an input image of a target object. The AGE (607) normalizes and processes the primary image for extracting a feature image corresponding to a feature indicating a distinct characteristic of the target object. The AGE (607) processes the extracted feature image for graphically pronouncing the features. The AGE (607) generates a primary canvas including a predicted tone of the primary component. The AGE (607) generates an avatar with pronounced features by merging a primary graphical image generated by merging the primary canvas with the graphically pronounced features, with a secondary graphical image of the secondary component.

Abstract: A method for converting speech in one of a plurality of input languages into text using machine transliteration and transfer learning is disclosed. The method includes a training stage. The training stage includes receiving a training set of a plurality of audio files and an input text corresponding to the audio input in any input language using the speech recognition engine; transliterating the training set to transform the input text into transliterated text that includes characters of a base language and training acoustic model with the plurality of audio files and corresponding transliterated text using transfer learning. The method further includes an inference stage. The inference stage includes performing decoding on output of the trained acoustic model to generate text includes characters of the base language at inference and transliterating the generated text to output text includes characters in input language using reverse transliteration.

Abstract: A system including a direct message sending engine (DMSE) and a method for directly sending messages with minimal user input are provided. When a user invokes an input interface proximal to an input message field (IMF) of a user application, the DMSE renders a list of preconfigured messages on the input interface. When the user performs a selection action on at least one of the preconfigured messages on the input interface, the DMSE receives the selection action and in response, the DMSE transforms properties of the IMF, commits the preconfigured message(s) to the IMF, and simultaneously and directly sends the preconfigured message(s) to a recipient device. On committing the preconfigured message(s) to the IMF, the DMSE simultaneously executes a programmatic simulation of an action key press, thereby directly sending the preconfigured message(s) to the recipient device free of a manual user input.