Abstract: A mechanism for adjusting the data rate of data to be transmitted over a data channel based on anticipated changes in the communication channel, rather than based on the current state of the communication channel. This is done by accessing real time environment context data obtained from sensor data generated by one or more sensors of a sensor device, and then predicting a future capacity of a communication channel with a subject head-mounted device based on the accessed real time environment context data. The appropriate data rate is then determined based on this predicted future channel capacity rather than the current channel capacity. The data rate of data that is initiated towards the communication channel is then adjusted based on the determined data rate in anticipation of the predicted future capacity of the communication channel.

Abstract: Techniques for correcting an overlay misalignment between an external camera image and a system camera image are disclosed. A first system camera image and a first external camera image are acquired. A first visual alignment is performed between those two images to produce an overlaid image. Some of the content in the overlaid image is surrounded by a bounding element. A position of the bounding element is modified based on movements of the system camera and/or the external camera. In response to performing a second visual alignment using new images, an update vector is computed. Relative movement between the two cameras is determined. Based on the movement and based on the update vector, the bounding element is progressively transitioned to a corrected position in the overlaid image. A speed by which the bounding element is progressively transitioned is proportional to the amount of movement.

Abstract: Embeddable extensions of the functionality of email and calendaring applications are described herein. An originating email and calendaring application formats meeting items to include extensible content, e.g., within the body field of the meeting item. Recipient email and calendaring applications receive the meeting items and, depending on whether they are configured to provide an extended functionality, will either deploy the extensible content item according to the extended functionality or present the extensible content item according to a standardized functionality. The body field includes the extensible content item according to the standardized functionality that is interpretable by configured clients to provide the extended functionality.

Abstract: A thermal management system for cooling electronics includes an immersion tank, a working fluid in the immersion tank, a heat exchanger, a first fluid conduit, and a second fluid conduit. The heat exchanger is configured to transfer thermal energy from the working fluid to ambient air to cool the working fluid. The first fluid conduit provides fluid communication from the immersion tank to the heat exchanger, and the second fluid conduit provides fluid communication from the heat exchanger to a spray nozzle to spray working fluid into the immersion tank.

Abstract: A near-eye display device comprises a pupil-expansion optic, a laser, a drive circuit coupled operatively to the first and second lasers, a spatial light modulator (SLM), and a computer. The SLM has a matrix of electronically controllable pixel elements and is configured to receive emission from the laser and to direct the emission in spatially modulated form to the pupil-expansion optic. Coupled operatively to the drive circuit and to the SLM, the computer is configured to parse a digital image, trigger the emission from the laser by causing the drive circuit to drive a periodic current through a gain structure of the laser, and control the matrix of pixel elements such that the spatially modulated form of the emission projects an optical image corresponding to the digital image, wherein the periodic current includes plural cycles of modulation driven through the gain structure while the optical image is projected.

Abstract: A computing apparatus comprising one or more computer readable storage media, one or more processors operatively coupled with the one or more computer readable storage media, and an application comprising program instructions stored on the one or more computer readable storage media that direct the computing apparatus to at least display electronic document in a user interface to an application and send a request to an energy analysis service to analyze an energy footprint of the electronic document, wherein the request identifies a characteristic of the electronic document. The program instructions further direct the computing apparatus to receive a reply to the request, wherein the reply includes a recommendation to decrease the energy footprint of the electronic document and modify the electronic document in accordance with the recommendation.

Abstract: Techniques performed by a data processing system for a machine learning driven teleprompter include displaying a teleprompter transcript associated with a presentation on a display of a computing device associated with a presenter; receiving audio content of the presentation including speech of the presenter in which the presenter is reading the teleprompter transcript; analyzing the audio content of the presentation using a first machine learning model to obtain a real-time textual translation of the audio content, the first machine learning model being a natural language processing model trained to receive audio content including speech and to translate the audio content into a textual representation of the speech; analyzing the real-time textual representation and the teleprompter transcript with a second machine learning model to obtain transcript position information; and automatically scrolling the teleprompter transcript on the display of the computing device based on the transcript position informatio

Abstract: A computer system is provided, including a processor coupled to a mass storage device that stores instructions, which, upon execution by the processor, cause the processor to store an original string formed of a plurality of characters, perform a wordbreak algorithm on the original string, and tokenize the original string to generate a processed string including a plurality of word tokens separated by spaces. The processor is further configured to generate an offset map between locations within the word tokens in the processed string and corresponding locations in the original string and classify a portion of the processed string as a target. The processor is further configured to identify target characters in the original string that correspond to the target using the offset map and perform a predetermined action on the target characters in the original string.

Abstract: Systems are provided for improving computer security systems that are based on user risk scores. These systems can be used to improve both the accuracy and usability of the user risk scores by applying multiple tiers of machine learning to different the user risk profile components used to generate the user risk scores and in such a manner as to dynamically generate and modify the corresponding user risk scores.

Abstract: A method and system for predicting an intended time interval for a content segment may include receiving a request for natural language processing (NLP) of the content segment, the content segment including one or more temporal expressions, accessing contextual data associated with each of the one or more temporal expressions, decoding the content segment into a program that describes a temporal logic of the content segment based on the one or more temporal expressions, evaluating the program using the contextual data to predict an intended time interval for the content segment, and providing the intended time interval as an output.

Abstract: A method and system for providing one or more suggested application features to a user of an application may include receiving an indication of a user action in a document, accessing contextual document data associated with the document, providing at least one of information about the user action or the contextual document data as input to a machine-learning (ML) model to predict a desired intent for the document, obtaining the predicted desired intent as an output from the ML model, identifying based on the predicted desired intent one or more application features that fulfil the desired intent, and providing data about the one or more application features for display.

Abstract: A user interface may present multiple presentation slides for user selection. Each slide may include one or more shapes, and a shape thread may be associated with each shape on the slide. For a selected slide, the user interface may present one or more shape threads associated with the selected slide. Each shape displayed on the selected slide may be associated with a particular shape thread, and a user may independently adjust one or more slide transition attributes of a shape via the associated shape thread.

Abstract: Techniques for mitigating loss of vaporized working fluid in a two-phase immersion cooling system may be implemented using one or more supplemental condensers that facilitate condensation of vaporized working fluid when the immersion tank is open, and one or more vapor collection points that are in fluid communication with at least one supplemental condenser. One or more fluid displacement devices may be configured to create suction pressure at the one or more vapor collection points. One or more vents may be positioned in the door. The one or more vents may be configured to permit movement of air from outside the immersion tank into an interior portion of the immersion tank without permitting loss of vaporized working fluid. A directional blowing device may be configured to blow a gaseous substance against a computing device in a downward direction as the computing device is being pulled upward out of the immersion tank.

Abstract: A function processing service may receive a request to execute source code. The source code may include instructions to perform a function. The function processing service may determine whether at least one hardware acceleration condition has been satisfied for the function. If at least one hardware acceleration condition has been satisfied, the instructions in the source code may be translated into hardware-specific code corresponding to a hardware circuit. The hardware circuit may be configured based on the hardware-specific code, and the hardware circuit may perform the function. The function processing service may then provide the result obtained from the hardware circuit to the requesting entity.

Abstract: In an implementation, a computing device under the control of a spreadsheet application displays a spreadsheet in a user interface. The application detects a user action in the spreadsheet associated with an unstructured table and responsively drives the computer to display a suggestion component in the user interface. A selection of the component causes the computer to display a preview of a suggested table feature in the user interface.

Abstract: A machine reading comprehension system (MRCS) can analyze a larger-sized document that includes multiple pages to predict an answer to a query. For example, the document can have two, five, tens, or hundreds of pages. The MRCS divides the document into multiple sections with each section including a portion of the document. Each section is processed separately by one or more processing circuitries to determine a score for that section. The score indicates how related the section is to the query and/or a probability that the section provides a possible answer to the query. Once all of the sections have been analyzed, the sections are ranked by their scores and a subset of the ranked sections are processed again to determine a predicted answer to the query.

Abstract: Some embodiments determine automatically which synthesized or otherwise autocreated suggestions for source code editing are presented to developers. Some filter out autocreated coding suggestions that have not been sufficiently endorsed by a developer's team, based on a suggestion trust score. The trust score may reflect the suggestion's adoption in a particular repository or codebase, or affiliation of the suggestion with a library release, or an actual or implied review of the suggestion by team members. Some suggestion filters enhance existing development team code review practices, by offering endorsed suggestions in autocompletion or analysis interfaces of tools and by withholding non-endorsed suggestions from display. Context illustrating the autocreated suggestion's provenance may be displayed to help developers decide whether to adopt the suggestion themselves while editing code.

Abstract: The disclosure is directed towards controlling the persistency of information provided to a service worker. A method includes receiving a response that includes response data. The response is received at a security service and was transmitted by a second computing device in response to receiving an information request from a first computing device. The first computing device implements a service worker. Sensitive data included in the response data is identified. The response includes caching instructions that instruct the service worker to cache the sensitive data at the first computing device. In response to identifying the sensitive data, the caching instructions are updated such that any portion of the response data that the updated caching instructions instruct the service worker to cache at the first computing device excludes the sensitive data. The updated response is transmitted to the first computing device and includes the response data and the updated caching instructions.

Abstract: Techniques and tools for encoding enhancement layer video with quantization that varies spatially and/or between color channels are presented, along with corresponding decoding techniques and tools. For example, an encoding tool determines whether quantization varies spatially over a picture, and the tool also determines whether quantization varies between color channels in the picture. The tool signals quantization parameters for macroblocks in the picture in an encoded bit stream. In some implementations, to signal the quantization parameters, the tool predicts the quantization parameters, and the quantization parameters are signaled with reference to the predicted quantization parameters. A decoding tool receives the encoded bit stream, predicts the quantization parameters, and uses the signaled information to determine the quantization parameters for the macroblocks of the enhancement layer video. The decoding tool performs inverse quantization that can vary spatially and/or between color channels.

Abstract: Techniques for securing displayed data on computing devices are disclosed. One example technique includes upon determining that the computing device is unlocked, capturing and analyzing an image in a field of view of the camera of the computing device to determine whether the image includes a human face. In response to determining that the image includes a human face, the technique includes determining facial attributes of the human face in the image via facial recognition and whether the human face is that of an authorized user of the computing device. In response to determining that the human face is not one of an authorized user of the computing device, the technique includes converting user data on the computing device from an original language to a new language to output on a display of the computing device, thereby securing the displayed user data even when the computing device is unlocked.

Abstract: A transfer learning system is used for the development of neural transformer models pertaining to software engineering tasks. The transfer learning system trains source code domain neural transformer models with attention in various configurations on a large corpus of unsupervised training dataset of source code programs and/or source code-related natural language text. A web service provides the trained models for use in developing a model that may be fine-tuned on a supervised training dataset associated with a software engineering task thereby generating a tool to perform the software engineering task.

Abstract: Techniques are described herein that are capable of evaluating a result of enforcement of access control policies instead of enforcing the access control policies. For instance, a result of enforcement of an access control policy with regard to sign-in processes is evaluated instead of enforcing the access control policy with regard to the sign-in processes. The evaluation includes monitoring access requests that are received during the sign-in processes. Each access request requests access to a resource. The evaluation further includes comparing attributes of each access request against the access control policy that specifies criteria that are to be satisfied as a prerequisite to granting access to the resource to which access is requested by the respective access request. Metadata associated with the sign-in processes is generated instead of enforcing the access control policy with regard to the sign-in processes.

Abstract: The present disclosure applies trained artificial intelligence (AI) processing adapted to automatically generating transformations of formatted templates. Pre-existing formatted templates (e.g., slide-based presentation templates) are leveraged by the trained AI processing to automatically generate a plurality of high-quality template transformations. In transforming a formatted template, the trained AI processing not only generates feature transformation of objects thereof but may also provide style transformations where attributes associated with a presentation theme may be modified for a formatted template or set of formatted templates. The trained AI processing is novel in that it is tailored for analysis of feature data of a specific type of formatted template.

Abstract: Making an information retrieval process public, so that it can be followed by others, allows capturing of an interest graph that allows people to learn more about shared interests with other people. This also allows items of interest to a trusted resource (such as an expert) to be identified. These items can then be brought to the attention of other users that share the same interest as the expert. In addition, by keeping track of what particular content a user has already seen, the system can bring items of interest to the user's attention, where the user has not yet seen those items.

Abstract: The disclosure herein describes changing a mode of operation of a computing device using signals from a pen device. The pen device obtains gesture input data from at least one sensor of the pen device and the obtained gesture input data is compared to at least one gesture pattern. Based on the gesture input data matching the at least one gesture pattern, the pen device transitions to an active state. The pen device detects, via an electrostatic communication channel, an uplink signal from the computing device and sends a signal to change a mode of operation of the computing device by at least one of a network interface or a communication channel, other than the electrostatic communication channel. Changing modes of operation of a computing device provides a flexible, stream-lined way to enhance the user experience of using a computing device with a pen device (e.g., performing an initial pairing process).

Abstract: A method for function call invocation is described. A function call that is implemented in a first programming language and corresponds to a function implemented in a second programming language is received by an application bridge interface implemented in the first programming language. The first programming language is different from the second programming language. A common data structure is generated by a bridge module based at least in part on the function call received by the application bridge interface. The common data structure is sent by the bridge module to a native bridge interface implemented in the second programming language. The common data structure is converted by the native bridge interface to a native data structure implemented in the second programming language. The function is called by the native bridge interface using the native data structure implemented in the second programming language.

Abstract: A multi-battery system implements operations to equalize discharge path impedance. The system includes first and second batteries of different capacities each coupled to a battery rail that supports source load electronics. The system includes charge control electronics configured to decouple the first battery from the battery rail when the discharge path of the first battery and the discharge path of the second battery have unequal impedance and to recouple the first battery to the battery rail when the discharge path of the first battery and the discharge path of the second battery have substantially equal impedance.

Abstract: High surface area coatings are applied to solid substrates to increase the surface area available for solid-phase synthesis of polymers. The high surface area coatings use three-dimensional space to provide more area for functional groups to bind polymers than an untreated solid substrate. The polymers may be oligonucleotides, polypeptides, or another type of polymer. The solid substrate is a rigid supportive layer made from a material such as glass, a silicon material, a metal material, and plastic. The coating may be thin films, hydrogels, microparticles. The coating may be made from a metal oxide, a high-? dielectric, a low-? dielectric, an etched metal, a carbon material, or an organic polymer. The functional groups may be hydroxyl groups, amine groups, thiolate groups, alkenes, n-alkenes, alkalines, N-Hydroxysuccinimide (NHS)-activated esters, polyaniline, aminosilane groups, silanized oxides, oligothiophenes, and diazonium compounds.

Abstract: A switching network for effecting point-to-point communication between nodes has a time-varying switching configuration, which causes successive activation and deactivation of multiple channels of the switching network, a first of the channels connecting, when activated, a transmitter node and a first receiver node, and a second of the channels connecting, when activated, the transmitter node and a second receiver node.

Abstract: Techniques of reproduction of graph data during query time are disclosed herein. One example technique includes receiving, at a query processor, a query having a set of predicates to be evaluated on data in a graph. Upon receiving the query, the example technique includes evaluating the set of predicates based on data in the first or second partition of the graph and recording a sequence of query states of the first or second partition whose data is used to evaluate each of the set of predicates. Subsequently, the example technique includes constructing a set of snapshots of the data in the first or second partition based on the recorded query states and reevaluating the set of predicates on the constructed set of snapshots of the data in the first or second partition to troubleshoot the detected query error when the set of predicates were previously evaluated.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for executing gesture operations are provided. A touchpad gesture manager and a touchscreen gesture manager may be maintained. Both managers may comprise the identities of gesture operations and conditions for executing the gesture operations. The conditions for one or more touchscreen gesture operations may be the same as the conditions for one or more corresponding touchpad gesture operations. The gestures that have same conditions for the touchscreen and the touchpad may comprise application window operations and virtual desktop transition operations. In some examples, one or more display elements, animations, or intermediate operations may be different in executing the touchscreen operations than for executing the touchpad operations.

Abstract: A method may include accessing, from a data store, telemetry data for an application, the telemetry data identifying actions executed by the application for a set of users of the application; retrieving an engagement index for the application using the telemetry data based on an engagement index profile, the engagement index profile identifying a selection of actions and a set of calculation dimensions; and presenting a user interface, the user interface including: a first portion identifying the selection of actions; a second portion identifying the set of calculation dimensions; a third portion identifying an original value of an action of the selection of actions with respect to a dimension in the set of calculation dimensions; and a fourth portion identifying a weighted composite value of the action with respect to set of calculation dimensions.

Abstract: The present invention extends to methods, systems, and computer program products for identifying and consenting to permissions for workflow and code execution. Aspects of the invention can be used to automatically scan a workflow or code definition to identify (potentially all) the actions/triggers a workflow or program intends to perform on behalf of a user. The user is shown the actions/triggers the workflow or program intends to perform (e.g., at a user interface) before consent to perform the actions/triggers is granted. As such, a user is aware of intended actions/triggers of a workflow or program before granting consent. Further, since actions/triggers are identified from the workflow or code definition (and not formulated by an author), permission requests better align with permissions that workflow or program functionality actually uses during execution.

Abstract: This application relates to video encoding and decoding, and specifically to tools and techniques for using and providing supplemental enhancement information in bitstreams. Among other things, the detailed description presents innovations for bitstreams having supplemental enhancement information (SEI). In particular embodiments, the SEI message includes picture source data (e.g., data indicating whether the associated picture is a progressive scan picture or an interlaced scan picture and/or data indicating whether the associated picture is a duplicate picture). The SEI message can also express a confidence level of the encoder's relative confidence in the accuracy of this picture source data. A decoder can use the confidence level indication to determine whether the decoder should separately identify the picture as progressive or interlaced and/or a duplicate picture or honor the picture source scanning information in the SEI as it is.

Abstract: A cloud computing capacity management system can include a fine-grained admission control layer, a policy engine, and an enforcement layer. The fine-grained admission control layer can be configured to ingest capacity signals and create a capacity mitigation policy, based at least in part on the capacity signals, to protect available capacity of a cloud computing system for prioritized users. The capacity mitigation policy can be directed to users of the cloud computing system. The policy engine can be configured to control how the capacity mitigation policy is applied to the cloud computing system. The enforcement layer can be configured to handle incoming resource requests and to enforce resource limits based on the capacity mitigation policy as applied by the policy engine.

Abstract: A text input system is described for inputting text to a computing device. The text input system has a memory storing a composing region comprising a plurality of text items selected by a user for potential input into the computing device. The text input system has a composing region updater which detects one of the plurality of text items as being a designated symbol. The composing region updater is configured to detect a corrective action acting to correct associated text associated with the selected text items and, when the corrective action is detected, to return the plurality of text items including the designated symbol to the composing region.

Abstract: Methods, systems and computer program products are provided for improving performance (e.g., reducing power consumption) of a hardware accelerator (e.g., neural processor) comprising hybrid or analog multiply and accumulate (MAC) processing elements (PEs). Selective variation of the precision of an array of MAC PEs may reduce power consumption of a neural processor. Power may be conserved by dynamically controlling the precision of analog to digital (ADC) output bits for one or more MAC PEs. Dynamic control of ADC output bit precision may be based on precision information determined during training and/or post-training (e.g., quantization) of an artificial intelligence (AI) neural network (NN) model implemented by the neural processor. Precision information may include a range of dynamic precision for each of a plurality of nodes of a computation graph for the AI NN model.

Abstract: Systems, methods, and devices are described for enabling a user to import a library into a computer program under development. The library includes a data storage interface, one or more semantic objects, and one or more data manipulation or data analysis operations. A user is able to reference code of the library within the computer program under development to generate a dataset from data obtained via the data storage interface and associate the one or more semantic objects with the dataset to generate a semantically-annotated dataset. Systems, methods, and devices enable, based on the importing: the user to invoke a semantic-guided operation of the library that utilizes the semantically-annotated dataset to infer an aspect of a data manipulation or data analysis operation to be performed on the semantically-annotated dataset; or the suggestion of a data manipulation or data analysis operation to the user based on the semantically-annotated dataset.

Abstract: Methods, systems, and computer storage media for providing a multi-attribute cluster-identifier that supports identifying malicious activity in computing environments. An instance of an activity having an attribute set can be assessed. The attribute set of the instance of the activity is analyzed to determine whether the instance of the activity is a malicious activity. The attribute set of the instance of the activity is compared to a plurality of multi-attribute cluster-identifiers of previous instances of the activity, such that, a determination that the instance of the activity is a malicious activity is made when the attribute set of the instance of the activity corresponds to an identified multi-attribute cluster-identifier. The identified multi-attribute cluster-identifier has a risk score and an attribute set that indicate a likelihood that the instance of the activity is a malicious activity. A visualization that identifies the instance of the activity as a malicious activity is generated.

Abstract: Cryptographically-secured deferral tickets provided by a minting process that runs in a secure enclave on a computing device reset an authenticated watchdog timer that reboots the device from a hardware-protected recovery operating system to re-image the device into a known good state if the timer expires. The deferral tickets are written to a secure channel using a symmetric key that is provisioned by repurposing an existing Intel SGX (Software Guard Extension) Versioning Support protocol that enables migration of secrets between enclaves that have the same author. In an illustrative embodiment, the deferral ticket minting process and authenticated watchdog timer execute locally to enable automated recovery of the computing device when utilized in far edge infrastructure of a fifth generation (5G) network such as a distributed unit (DU) of a radio access network (RAN).

Abstract: The present disclosure relates to selectively analyzing digital content items from a social networking system to generate a searchable graph object that facilitates visualization of correlations between entities of interest (e.g., brands, products, services, companies), concepts (e.g., domain-specific and/or general terms), hashtags, and other output classes. For example, systems described herein involve collecting images and/or videos that are publicly available via a social networking platform and evaluating content and metadata thereof to identify entities of interest therein and predict various concepts therein to generate a graph object that provides a searchable matrix. The systems herein provide a mechanism for processing a graph query that presents a relational graph showing correlations between the query and the various output classes.

Abstract: A tracing coprocessor that records execution trace data based on a cache coherency protocol (CCP) message. The tracing coprocessor comprises logic that causes the tracing coprocessor to listen on a bus that is communicatively coupled to a primary processor that executes executable code instructions. The logic also causes the tracing coprocessor to, based on listening on the bus, identify at least one CCP message relating to activity at a processor cache. The logic also causes the tracing coprocessor to identify, from the at least one CCP message, a memory cell consumption by the primary processor. The logic also causes the tracing coprocessor to initiate logging, into an execution trace, at least a memory cell data value consumed by the primary processor in connection with execution of at least one executable code instruction.

Abstract: This application relates to video encoding and decoding, and specifically to tools and techniques for using and providing supplemental enhancement information in bitstreams. Among other things, the detailed description presents innovations for bitstreams having supplemental enhancement information (SEI). In particular embodiments, the SEI message includes picture source data (e.g., data indicating whether the associated picture is a progressive scan picture or an interlaced scan picture and/or data indicating whether the associated picture is a duplicate picture). The SEI message can also express a confidence level of the encoder's relative confidence in the accuracy of this picture source data. A decoder can use the confidence level indication to determine whether the decoder should separately identify the picture as progressive or interlaced and/or a duplicate picture or honor the picture source scanning information in the SEI as it is.

Abstract: This application relates to video encoding and decoding, and specifically to tools and techniques for using and providing supplemental enhancement information in bitstreams. Among other things, the detailed description presents innovations for bitstreams having supplemental enhancement information (SEI). In particular embodiments, the SEI message includes picture source data (e.g., data indicating whether the associated picture is a progressive scan picture or an interlaced scan picture and/or data indicating whether the associated picture is a duplicate picture). The SEI message can also express a confidence level of the encoder's relative confidence in the accuracy of this picture source data. A decoder can use the confidence level indication to determine whether the decoder should separately identify the picture as progressive or interlaced and/or a duplicate picture or honor the picture source scanning information in the SEI as it is.

Abstract: Examples of the present disclosure describe systems and methods for multichannel audio speech classification. In examples, an audio signal comprising multiple audio channels is received at a processing device. Each of the audio channels in the audio signal is transcoded to a predefined audio format. For each of the transcoded audio channels, an average power value is calculated for one or more data windows in the audio signal. A correlation value is calculated between the average power value for each audio channel and the combined average power value of the other audio channels in the audio signal. Each of the correlation values (or an aggregated correlation value for the audio channels) is then compared against a threshold value to determine whether the audio signal is to be classified as a speech-based communication. Based on the classification, an action associated with the audio signal may be performed.

Abstract: A method for text compression comprises recognizing a prefix string of one or more text characters preceding a target string of a plurality of text characters to be compressed. The prefix string is provided to a natural language generation (NLG) model configured to output one or more predicted continuations each having an associated rank. If the one or more predicted continuations include a matching predicted continuation relative to the next one or more text characters of the target string, the next one or more text characters are compressed as an NLG-type compressed representation. If no predicted continuations match the next one or more text characters of the target string, a longest matching entry in a compression dictionary is identified. The next one or more text characters of the target string are compressed as a dictionary-type compressed representation that includes the dictionary index value of the longest matching entry.

Abstract: According to examples, an apparatus may include a processor and a memory on which is stored machine-readable instructions that when executed by the processor, may cause the processor to identify configuration information to be used by an on-premise access management service to provide authentication services to applications by users. The processor may also transform the identified configuration information into a transformed set of configuration information to be used by a cloud-based access management service to provide authentication services to the applications by users. In addition, the processor may store the transformed set of configuration information for use by the cloud-based access management service to provide authentication services to the applications by users to migrate authentication of the users from the on-premise access management service to the cloud-based access management service.

Abstract: According to examples, a processor may receive data pertaining to a communication sent over a network by a device, extract a set of characteristics associated with the communication from the received data, and determine whether the extracted set of characteristics meets a predefined similarity threshold with respect to a previously identified set of characteristics, in which the previously identified set of characteristics is assigned with a certain device type. The processor may also, based on a determination that the extracted set of characteristics meets the predefined similarity threshold with respect to the previously identified set of characteristics, assign the device with the certain device type.

Abstract: Systems and methods are provided for training a data model based on training data. The training includes pre-training and fine-tuning the data model based on a combination of an autoregressive (AR) model and a non-autoregressive (NAR) model. Training data may be received and encoded into streams of tokens. A pre-trainer during decoding generates a continuum of data structures of the AR and NAR combined model including a main stream and a series of predicting streams. Masked tokens in predicting streams reference or attend to one or more preceding tokens in the main stream or the preceding predicting streams. A fine-tuner selects streams to generate a trained model according to a target data model. The target data model is determined based on balancing an accuracy constraint and an efficiency constraint for predicting tokens. The decoder acts as abridge between the AR and NAR models in generating a trained data model.

Abstract: A system and method and for searching for an element in and replacement a portion of a video is conducted by retrieving the video and generating a video index for the video, the video index indexing a plurality of elements of the video such as text, audio and video. To search in the vide, a search query is received that includes at least one of a text element, an audio element, an image element, or a video element. Features and embeddings are extracted from the search query before comparing the search query features with the video index to identify a portion of the video that includes one of the text element, audio element, image element or video element of the search query. The identified portion is then automatically replaced with a replacement portion to generate a revised video.