Abstract: A method for preventing data leakage may include: identifying data that is generated by at least one framework application in response to a data request from a first machine learning (ML) engine of a plurality of ML engines; creating a plurality of data blocks based on the generated data, a category of the first ML engine, and a tag associated with the first ML engine and the at least one framework application; determining whether the plurality of data blocks are valid to share with the first ML engine using an activity block chain associated with each of the plurality of framework applications; based on the plurality of data blocks being valid, sharing the plurality of data blocks with the first ML engine, and otherwise discarding the plurality of data blocks not to share with the first ML engine.

Abstract: Techniques for searching documents are described. An exemplary method includes receiving a document search query; querying at least one index based upon the document search query to identify matching data; fetching the identified matched data; determining one or more of a top ranked passage and top ranked documents from the set of documents based upon one or more invocations of one or more machine learning models based at least on the fetched identified matched data and the document search query; and returning one or more of the top ranked passage and the proper subset of documents.

Abstract: A speech-processing system may provide access to multiple virtual assistants via one or more voice-controlled devices. Each assistant may leverage language processing and language generation features of the speech-processing system, while handling different commands and/or providing access to different back applications. Different assistants may be available for use with a particular voice-controlled device based on time, location, the particular user, etc. The voice-controlled device may include components for facilitating user interaction with multiple assistants. For example, a multi-assistant component may facilitate enabling/disabling assistants, assigning gestures and/or wakewords, etc. The multi-assistant component may handle routing commands to a command processing subsystem corresponding to an assistant invoked by the command. The voice controlled device may further include observer components, each configured to monitor the voice-controlled device for invocations of a particular assistant.

Abstract: A method implemented via execution of computing instructions configured to run at one or more processors and stored at one or more non-transitory computer-readable media. The method can include receiving, via a computer network, a user interaction signal from a user device for a user. The method further can include after receiving the user interaction signal, determining, in real-time via a machine learning model, a plurality of user intent labels based at least in part on transaction data, interaction data, and incident data for the user. The machine learning model can include pre-trained based on historical input data and historical output data associated with multiple users comprising the user. The historical input data can comprise historical feature embedding vectors for historical transaction data, historical interaction data, and historical incident data associated with the multiple users.

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: Techniques are provided for secure and scalable electronic messaging. In one technique, a decision tree data and targeting criteria for a content delivery campaign are received and stored. Multiple entities that satisfy the targeting criteria are identified. First content from the decision tree data is retrieved and sent to a messaging account of each of the entities. The first content is presented in a message interface of a first entity. In response to detecting that the first entity has provided particular input, second content from the decision tree data is identified based on the particular input. First data associated with the particular input and the second content are presented in the messaging interface along with the first content.

Abstract: The present disclosure relates to an internally plasticized polyvinyl chloride resin and a process for preparation thereof. The internally plasticized polyvinyl chloride resin comprises a polyvinyl chloride (PVC) resin covalently bonded to at least one plasticizer. The process is simple and economical and provides internally plasticized PVC with enhanced flexibility, and improved characteristics than conventional PVC resin.

Abstract: An example method for thermally preconditioning a meeting space includes determining that a meeting is electronically scheduled for a meeting space for a plurality of attendees. A thermal preconditioning setpoint for the meeting space is determined based on individual thermal preferences of the plurality of attendees, and a historical setpoint of the meeting space. A time required to achieve the thermal preconditioning setpoint is determined based on the thermal preconditioning setpoint and a temperature of the meeting space before the scheduled meeting. Thermal preconditioning of the meeting space is initiated based on the determined thermal preconditioning setpoint and the determined time.

Abstract: The present composition for maintaining or improving the quality of processed meat comprises on a dry matter basis: between 20 and 60% w/w acid equivalent of an organic acid component selected from the group of acetate, lactate and combinations thereof; between 0.05 and 5% w/w acid equivalent of nitrite; between 0.5 and 5% w/w acid equivalent of ascorbate; and between 5 and 50% w/w of a vegetal fiber selected from the group of microfibrillated cellulose fiber, inulin and combinations thereof; wherein the composition when diluted with distilled water of 20° C. to a dry matter content of 10% w/w has a pH in the range of 5.0 to 9.0. This composition can replace conventional stabilizers, acid regulators and anti-oxidants without deteriorating the quality of the processed meat. Furthermore, this composition can be composed of “label friendly” ingredients, with a more attractive consumer perception. The invention also relates to a method for the preparation of the aforementioned meat treatment composition.

Abstract: Disclosed herein is a neuromorphic percolating network (100). The network comprises a substrate (102) having at least two electrical contacts (104A, 104B); a plurality of nanoparticles (106, 108, 100) distributed on the substrate (102), at least some of the nanoparticles positioned between at least two of the at least two electrical contacts, the surface coverage of the nanoparticles within a tolerance of a percolation threshold; and at least one memristive element (116) located at least partially in a gap between nanoparticles, or groups of nanoparticles, that are not otherwise directly connected to each other, the memristive element(s) at least partially providing at least one persistent pathway (118,120) of increased activity. Disclosed herein are methods for fabricating a neuromorphic percolating network or component thereof, and neuromorphic percolating networks formed by such methods.

Abstract: The present invention extracts and then analyses data based on a set of communication between an enterprise and a user associated with the enterprise. A system for extracting and analyzing the data comprising: a database and a processor communicatively coupled with the database and an Output Unit. The processor is configured to categorize data present in the database after extraction, associate the data with a set of parameters, and send the associated data to the output unit. The database includes user metadata, interaction data, and interaction metadata and the processor comprises a Data Acquisition Unit, a Data Categorization Unit, and a Model Processing Unit. The Model Processing Unit comprises of a Habit Formation Unit and a Recommendation Unit. Further, a method for extracting and analyzing data of a user of an enterprise over a pre-defined period of time has also been discussed.

Abstract: Systems and methods for batching operations in a virtualization environment. A method embodiment operates over a plurality of virtual machines in the virtualization environment. A user interface is used to select two or more virtual machines that are to be subjected to the same batch actions. A method step then generates at least one batch request to be performed over the two or more selected virtual machines. In forming the batch request, the states of the individual virtual machines are analyzed to determine one or more entity-specific operations that apply to the virtual machines and/or to constituent entities of the virtual machines. Once the state-specific and entity-specific operations have been determined, an entity management protocol initiates execution of the one or more entity-specific operations over the individual ones of the two or more selected virtual machines.

Abstract: Systems and techniques are described herein for updating a machine learning model on edge servers. Local parameters of the machine learning model are updated at a plurality of edge servers using fresh data on the edge servers, rather than waiting for the data to reach a global server to update the machine learning model. Hence, latency is significantly reduced, making the systems and techniques described herein suitable for real-time services that support streaming data. Moreover, by updating global parameters of the machine learning model at a global server in a deterministic manner based on parameter updates from the edge servers, rather than by including randomization steps, global parameters of the converge quickly to their optimal values. The global parameters are sent from the global server to the plurality of edge servers at each iteration, thereby synchronizing the machine learning model on the edge servers.

Abstract: A service provider system may provision virtualized computing resources to implement a virtual desktop instance. An interactivity agent installed on the virtual desktop instance may collect data representing interactions between a user and various input devices (e.g. a keyboard or mouse) that are associated with the execution of various desktop applications, and may provide the interactivity data to a desktop application preferences service implemented in the service provider system. The desktop application preferences service may, based on the interactivity data, characterize the usage of the desktop applications and their targets (e.g., documents) to determine which applications and targets are likely to be used during subsequent virtual desktop sessions (e.g., those used most or most recently).

Abstract: A computer-implemented technique is described herein for assisting a user in advancing a task objective. The technique uses a suggestion-generating system (SGS) to provide one or more suggestions to a user in response to at least a last-submitted query provided by the user. The SGS may correspond to a classification-type or generative-type neural network. The SGS uses a machine-trained model that is trained using a multi-task training framework based on plural groups of training examples, which, in turn, are produced using different respective example-generating methods. One such example-generating method constructs a training example from queries in a search session. It operates by identifying the task-related intent the queries, and then identifying at least one sequence of queries in the search session that exhibits a coherent task-related intent. A training example is constructed based on queries in such a sequence.

Abstract: Provided is a method, performed by an electronic device, of performing an operation based on bending, the method including: sensing bending that deforms a shape of the electronic device; determining a first region, from which the bending is sensed, from among regions of the electronic device; selecting an object indicated by the first region from at least one object displayed on the electronic device; and performing an operation on the selected object.

Abstract: Contextual spelling methods and systems are provided that utilize natural language processing and n-gram frequencies to group documents into logical groups and to provide spelling correction suggestions. For example, a contextual spelling correction system may receive a set of documents, group the documents into separate logical groups, generate dictionaries associated with the logical groups, receive a user input, determine scores for potential spelling correction suggestions regarding the user input, and provide spelling correction suggestions based at least partly on the dictionaries associated with the logical groups.

Abstract: A computer-implemented technique receives an input expression that a user submits with an intent to accomplish some objective. The technique then uses a machine-trained intent encoder component to map the input expression into an input expression intent vector (IEIV). The IEIV corresponds to a distributed representation of the intent associated with the input expression, within a vector intent vector space. The technique then leverages the intent vector to facilitate some downstream application task, such as the retrieval of information. Some application tasks also use a neighbor search component to find expressions that express an intent similar to that of the input expression. A training system trains the intent encoder component based on the nexus between queries and user clicks, as recorded in a search engine's search log.

Abstract: A system is provided that includes a memory system storing a plurality of executable instructions. The system also includes a processing system operably coupled to the memory system. The executable instructions when executed by the processing system cause the system to access a plurality of building structural data, ductwork layout data, and fire suppression system layout data associated with a building. A location of a user device within the building is identified. An overlay image is created that includes a three-dimensional depiction of a portion of a ductwork layout and a fire suppression system layout based on an overlay of the ductwork layout data and the fire suppression system layout data with respect to the building structural data and the location of the user device. The overlay image is output to a display component.

Abstract: The present invention relates to a cost effective and single step process for rapid manufacturing of paper-based SERS substrates (100), wherein chitosan is used for direct in situ reduction of the metallic precursor solutions for production of metallic nanoparticles on the substrates. The crucial step in the process involves the incubation of the paper-based substrates under humidifying conditions at an elevated temperature for a predetermined duration. The metal nanoparticles thus produced are homogenously deposited over the paper-based substrate making the paper-based substrate suitable for SERS analysis. The paper-based substrate thus developed is cost-effective, flexible, easy to load and is demonstrated to have exceptional sensitivity with detection limits of up to 1 pM.