Abstract: Techniques are provided for machine learning-based anomaly detection for repetitive tasks performed using edge instruments. One method includes obtaining sensor data characterizing an orientation and/or an acceleration of an edge instrument utilized to perform a repetitive task, comprising a sequence of actions, by a user. The sensor data is obtained from at least one sensor embedded in the edge instrument. The sensor data is applied to a machine learning model trained to identify a deviation from an expected sequence of actions associated with the repetitive task. The machine learning model is embedded in the edge instrument. An automated action is initiated in response to the machine learning model identifying the deviation from the expected sequence of actions.

Abstract: Ionizable lipids with a disulfide moiety and lipid nanoparticles comprising said lipids are disclosed. In select preferred embodiments, the ionizable lipids have a structure of formulae 11-15. The lipid nanoparticles formed from the ionizable lipids can be used as delivery vehicles for medicinal small molecules, antibodies, nucleotides, and polypeptides. Such nanoparticles can be used as vaccines or the treatment of cancer.

Abstract: A method includes capturing shipment milestone data of cost, insurance, and freight (CIF) shipments, recording the shipment milestone data within a distributed ledger, generating a training dataset using past shipment milestone data recorded within the distributed ledger, and generating a machine learning (ML) model configured with explainable artificial intelligence (XAI) based on the training dataset. The method also includes receiving information regarding a CIF shipment from a computing device, determining one or more relevant features from the information regarding the CIF shipment, the relevant features influencing prediction of a lead time for ownership transfer, and generating, using the ML model configured with XAI, a prediction of a lead time for ownership transfer with an explanation of the prediction for the CIF shipment based on the determined relevant features. The method may also include sending the prediction of the lead time for ownership transfer with the explanation to the computing device.

Abstract: Techniques are provided for managing an end-to-end software development life cycle. A software development lifecycle management system performs a plurality of stages of work for developing a software application, and records transactions which result from performing the plurality of stages of work, in an immutable digital ledger. The immutable digital ledger can be a blockchain ledger.

Abstract: A system comprises at least one camera disposed in an environment, and at least one computing node which hosts and executes an energy management system. The energy management system is configured to utilize computer vision processing of the images of the environment to extract information from the images, to utilize the extracted information from the images to determine usage patterns of light sources in the environment, and to generate intelligent recommendations for automated control of the light sources in the environment based on the determined usage patterns, to conserve energy consumption from use of the light sources in the environment.

Abstract: In a distributed ledger (DLT) network, a transaction, related to movement of a monitored entity from a first party's location to a second party's location, is monitored. The transaction is associated with a respective real-time status and with at least a first predetermined milestone. Sensor outputs from an IoT enabled sensor that is operably coupled to the monitored entity, are received while the monitored entity is located remotely from the first and second parties during its movement from the first location to the second location. Updates to a real-time status of the monitored entity, relating to progress towards a milestone, are determined based on the received sensor outputs. The transaction is updated, in real time, on the DLT network when the milestone is reached. Information is communicated relating to the update of the transaction and the first predetermined milestone, in real-time, to the first party and the second party.

Abstract: In a distributed ledger (DLT) network, a transaction, related to movement of a monitored entity from a first party's location to a second party's location, is monitored. The transaction is associated with a respective real-time status and with at least a first predetermined milestone. Sensor outputs from an IoT enabled sensor that is operably coupled to the monitored entity, are received while the monitored entity is located remotely from the first and second parties during its movement from the first location to the second location. Updates to a real-time status of the monitored entity, relating to progress towards a milestone, are determined based on the received sensor outputs. The transaction is updated, in real time, on the DLT network when the milestone is reached. Information is communicated relating to the update of the transaction and the first predetermined milestone, in real-time, to the first party and the second party.

Abstract: A system and method for or facilitating correction of data in documents is disclosed. The method includes receiving one or more documents from and scanning the received one or more documents by using a document processing system for obtaining one or more mis-captured data fields. The method further includes obtaining a historical correction data and determining one or more deltas based on the obtained historical correction data by using a trained data correction-based ML model. Further, the method includes parsing the determined one or more deltas into one or more datasets, generating one or more correct data fields corresponding to the one or more mis-captured data fields and automatically replacing the one or more mis-captured data fields with the generated one or more correct data fields based on one or more predefined rules.

Abstract: A system is provided for selectively implementing an electronic transaction based on proximity detection of a user device. The electronic transaction includes primary parameters in the form of the user device being within a distance of a location by a predefined time, and secondary parameters in the form of a bid amount and a bid recipient. The system includes a central server and the user device having a UI configured to receive secondary parameters and being in communication with the central server. The user device further includes a location module for selective location tracking of the user device by the central server. Primary and secondary parameters are transmitted to the central server and the central server conditionally pre-authorizes the electronic transaction such that if the primary parameters are not met, the electronic transaction is implemented based on the secondary parameters.

Abstract: A system and method for or facilitating correction of data in documents is disclosed. The method includes receiving one or more documents from and scanning the received one or more documents by using a document processing system for obtaining one or more mis-captured data fields. The method further includes obtaining a historical correction data and determining one or more deltas based on the obtained historical correction data by using a trained data correction-based ML model. Further, the method includes parsing the determined one or more deltas into one or more datasets, generating one or more correct data fields corresponding to the one or more mis-captured data fields and automatically replacing the one or more mis-captured data fields with the generated one or more correct data fields based on one or more predefined rules.

Abstract: Techniques are provided for managing an end-to-end software development life cycle. A software development lifecycle management system performs a plurality of stages of work for developing a software application, and records transactions which result from performing the plurality of stages of work, in an immutable digital ledger. The immutable digital ledger can be a blockchain ledger.

Abstract: A method for converting an electronic flash storage device having a byte addressable storage (ByAS) and a block addressable flash storage (BlAS) to a single byte addressable storage includes receiving, by a host, a request for memory allocation from the ByAS, the receiving being from a first application among of a plurality of applications running on a processor; deallocating, by the host, a least relevant page allocated to at least one second application among the plurality of applications; moving, by the host, a content to the BlAS at a first BlAS location, the content related to the least relevant page, the moving based on the deallocation; allocating, by the host, the least relevant page to the first application; and updating, by the host, a cache metadata and a page lookup table of the first application and the at least one second application based on the deallocation and allocation.

Abstract: Described herein are systems and methods for designing and tailoring insurance solutions and advertising for users. The systems and methods utilize third-party websites and data retrieved therefrom, which is processed via machine learning components of the system. The systems and methods can utilize machine learning and artificial intelligence to generate content and tailor insurance solutions for users.

Abstract: A method includes receiving code for computer programming, analyzing the code and extracting a plurality of configuration properties from the code. In the method, one or more configuration files are generated from the extracted plurality of configuration properties, and microservice code is generated from the one or more configuration files. The microservice code is configured for deployment on one or more cloud computing platforms.

Abstract: A method comprises receiving at least one natural language input, and determining an intent of the at least one natural language input. In the method, a virtual assistant of a plurality of virtual assistants is recommended to respond to the at least one natural language input based at least in part on the determined intent, and the at least one natural language input is transmitted to the recommended virtual assistant. The determining and recommending are performed using one or more machine learning models, and the plurality of virtual assistants respectively correspond to a plurality of different functions of an enterprise.

Abstract: Chitosan-nucleic acid polyplex compositions containing a reversibly bound polymer coat comprising linear block copolymers with a polyanionic anchor region and at least one polyethylene glycol tail region are described herein. In some cases, the compositions exhibit improved stability and/or mucosal diffusion as compared to uncoated particles. In some cases, the reversibly bound polymer coat does not interfere with, or enhances, transfection of target cells or tissues as compared to uncoated particles.

Abstract: The present disclosure relates to methods and compositions comprising derivatized-chitosan polyplexes reversibly coated with a polyanion-containing block co-polymer for the localized expression of IL-12 in mucosal tissues, preferably in combination with an IFN-1 activator/inducer, for use in cancer immunotherapy.

Abstract: A computer-program product, a system, and a computer-implemented method include a processor(s) obtaining a configuration of a network including configurations of multiple network nodes and configurations of the network communication devices. The program code automatically models the network to generate a system model. The program code derives, from the system model, a loop-free Bayesian inference model, by generating a loop-free Bayesian network from the network.

Abstract: A method comprises receiving at least one natural language input, and determining an intent of the at least one natural language input. In the method, a virtual assistant of a plurality of virtual assistants is recommended to respond to the at least one natural language input based at least in part on the determined intent, and the at least one natural language input is transmitted to the recommended virtual assistant. The determining and recommending are performed using one or more machine learning models, and the plurality of virtual assistants respectively correspond to a plurality of different functions of an enterprise.

Abstract: Methods, apparatus, and processor-readable storage media for device manufacturing cycle time reduction using machine learning techniques are provided herein. An example computer-implemented method includes obtaining video input related to one or more manufacturing resources in a manufacturing environment; determining availability status information for at least one of the one or more manufacturing resources by applying one or more machine learning models to the obtained video input; and outputting the determined availability status information to at least one user device associated with the manufacturing environment.