Abstract: The system uses the non-repudiatory persistence of blockchain technology to store all task statuses and results across the distributed computer network in an immutable blockchain database. Coupled with the resiliency of the stored data, the system may determine a sequence of processing tasks for a given processing request and use the sequence to detect and/or predict failures. Accordingly, in the event of a detected system failure, the system may recover the results prior to the failure, minimizing disruptions to processing the request and improving hardware resiliency.

Abstract: A system, including a housing having a front and a rear, a controller contained within the housing, a trigger module contained within the housing, the trigger module coupled to the controller, the trigger module receiving a trigger signal and outputting a range measurement signal, a range module contained within the housing, the ranging module coupled to the controller, the range module outputs a range data signal in response to the range measurement signal, a memory module contained within the housing, the memory module coupled to the controller, the memory module storing the range data signal, a wireless transceiver contained within the housing, the wireless transceiver coupled to the controller the wireless transceiver outputting the stored range data signal and an affixment coupled to the housing rear enabling physical connection to a shipping structure.

Abstract: A method, including, associating a wireless tracker with an asset, tracking a location of the asset via the wireless tracker, determining a recipient mobile device authorized to accept receipt of the asset, determining a recipient mobile device holder is authorized to accept receipt of the asset, determining if the location of the asset is within a defined delivery location, determining if the authorized recipient mobile device is within the defined delivery location, sending a passcode to the authorized recipient mobile device if the authorized recipient mobile device location and the location of the asset are within the defined delivery location, receiving an authenticated passcode from the authorized recipient mobile device within the defined delivery location and notifying a delivery agent that delivery of the asset is approved.

Abstract: Method for making a coating on a surface of a substrate are described herein. The methods include applying a mixture to a surface of a substrate while maintaining the substrate at an elevated temperature. The mixture includes a particulate material and a proteinaceous material.

Abstract: Embodiments of the present disclosure include systems, methods, and devices for tracking a shipment using a wireless tracker. In such embodiments, the wireless tracker determines a location of the wireless tracker device and regulates battery usage of wireless tracker based on the location. In addition, the wireless tracker is configured to determine a current location of the wireless tracker device at one or more intervals such that the one or more intervals are based on a delivery route of the shipment. Moreover, the wireless tracker is configured to receive and verify one or more codes to for a chain of custody of the shipment. Also, the wireless tracker is configured to determine a trigger event based on the location of the wireless tracker device and/or sensor information as well as send a notification to a computer server based on the trigger event.

Abstract: Embodiments of the present disclosure include systems, methods, and devices for tracking a shipment using a wireless tracker. In such embodiments, the wireless tracker determines a location of the wireless tracker device and regulates battery usage of wireless tracker based on the location. In addition, the wireless tracker is configured to determine a current location of the wireless tracker device at one or more intervals such that the one or more intervals are based on a delivery route of the shipment. Moreover, the wireless tracker is configured to receive and verify one or more codes to for a chain of custody of the shipment. Also, the wireless tracker is configured to determine a trigger event based on the location of the wireless tracker device and/or sensor information as well as send a notification to a computer server based on the trigger event.

Abstract: Systems, methods, and computer-readable media for scoring an individual interaction session between a user and a software program are disclosed. A method includes recording, by a processing device, one or more actions undertaken by the user with the software program to obtain recorded session data, determining, by the processing device in real-time, one or more metrics that correspond to at least one of the one or more actions undertaken by the user with the software program, measuring, by the processing device, the one or more actions undertaken by the user based on the one or more metrics to obtain metric data, and providing, by the processing device, the recorded session data and the metric data as an input for one or more of a machine learning algorithm and a predictive analytic algorithm. The one or more of the machine learning algorithm and the predictive analytic algorithm scores the individual interaction session.

Abstract: A system, including, associating a wireless tracker with an asset, wherein the wireless tracker emits a tracker identification and a sensor payload including a fixed identification, receiving by at least one of a plurality of mobile devices the tracker identification, the sensor payload and an associated location of the at least one of the plurality of mobile devices and monitoring the tracker identification and the associated location of the at least one of the plurality of mobile devices.

Abstract: Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support optimization of communications transmitted over a plurality of communication mediums. Historical communications data may be analyzed to identify clusters of users and a model may be constructed based on the clusters. Candidate sequences of communications over a period of time (e.g., sequences of communication successfully triggering events) are identified using metrics (e.g., probabilities, attribution penalties, etc.) derived from the model or other information. The candidate sequences of communications may be determined at a group or cluster level and then tuned or optimized (e.g., using transition sequences, harmonization, entity priors, etc.) for individual users to produce optimized sequences of communications. The optimized sequences of communications may then be transmitted to individual users according to each user's optimized sequence of communications.

Abstract: A system and method for determining a result that includes a solution for a discrete non-linear optimization model for an optimization problem is disclosed. A non-linear relationship between a key performance indicator (KPI) to be optimized and at least one decision variable is determined using econometric modeling. A discrete optimization framework for the optimization problem is determined using a plurality of discrete values of decision variables of the optimization problem. A binary optimization framework is determined from the determined discrete optimization framework based on automatically revising an optimization equation of the discrete optimization framework. A continuous framework is determined from the determined binary optimization framework based on imposing additional constraints and based on modifying the optimization problem. The result is generated, and an action is controlled based on the result.

Abstract: In some examples, personality trait-based customer behavior prediction may include extracting personality features from images associated with a user. Social style features may be extracted from social data associated with the user. Consumer demographics features may be extracted from consumer demographics data associated with the user. Based on a probability analysis of the extracted features, relevant features may be selected from the images, the social data, and the consumer demographics data. Historical purchase features may be extracted from historical purchase data associated with the user. At least one machine learning model may be trained based on the extracted features, and used to generate a next best offer for the user for purchase of a product or a service. A purchase of the product or the service may be performed based on the generated offer.

Abstract: A method, including recognizing an indicia pattern on an asset utilizing a mobile device based augmented reality vision system, prompting one of acceptance and disapproval of the indicia pattern on the asset, detecting a wireless signal from a wireless tracking device if the asset indicia pattern is accepted, pairing the asset and the wireless tracking device and prompting one of confirmation and refusal of the pairing.

Abstract: A method, including, associating a wireless tracker with an asset, tracking a location of the asset via the wireless tracker, determining a recipient mobile device authorized to accept receipt of the asset, determining a recipient mobile device holder is authorized to accept receipt of the asset, determining if the location of the asset is within a defined delivery location, determining if the authorized recipient mobile device is within the defined delivery location, sending a passcode to the authorized recipient mobile device if the authorized recipient mobile device location and the location of the asset are within the defined delivery location, receiving an authenticated passcode from the authorized recipient mobile device within the defined delivery location and notifying a delivery agent that delivery of the asset is approved.

Abstract: In some examples, personality trait-based customer behavior prediction may include extracting personality features from images associated with a user. Social style features may be extracted from social data associated with the user. Consumer demographics features may be extracted from consumer demographics data associated with the user. Based on a probability analysis of the extracted features, relevant features may be selected from the images, the social data, and the consumer demographics data. Historical purchase features may be extracted from historical purchase data associated with the user. At least one machine learning model may be trained based on the extracted features, and used to generate a next best offer for the user for purchase of a product or a service. A purchase of the product or the service may be performed based on the generated offer.

Abstract: A system, including a housing having a front and a rear, a controller contained within the housing, a trigger module contained within the housing, the trigger module coupled to the controller, the trigger module receiving a trigger signal and outputting a range measurement signal, a range module contained within the housing, the ranging module coupled to the controller, the range module outputs a range data signal in response to the range measurement signal, a memory module contained within the housing, the memory module coupled to the controller, the memory module storing the range data signal, a wireless transceiver contained within the housing, the wireless transceiver coupled to the controller the wireless transceiver outputting the stored range data signal and an affixment coupled to the housing rear enabling physical connection to a shipping structure.

Abstract: A method includes receiving, at a computing device, an electronic document, wherein the electronic document is a legal brief comprising a plurality of paragraphs; identifying one or more argument paragraphs from among the plurality of paragraphs, wherein each of the one or more argument paragraphs includes one or more legal arguments; performing a textual search of a corpus of legal documents based on a selected set of the identified argument paragraphs; performing a semantic search of the corpus of legal documents based on the selected set of the identified argument paragraphs; combining results of the textual search and the semantic search; and presenting the combined results to a user.

Abstract: Embodiments of the present disclosure include systems, methods, and devices for tracking a shipment using a wireless tracker. In such embodiments, the wireless tracker determines a location of the wireless tracker device and regulates battery usage of wireless tracker based on the location. In addition, the wireless tracker is configured to determine a current location of the wireless tracker device at one or more intervals such that the one or more intervals are based on a delivery route of the shipment. Moreover, the wireless tracker is configured to receive and verify one or more codes to for a chain of custody of the shipment. Also, the wireless tracker is configured to determine a trigger event based on the location of the wireless tracker device and/or sensor information as well as send a notification to a computer server based on the trigger event.

Abstract: Systems and methods for open domain question-answering are disclosed. In one embodiment, a method of providing answers to a question includes retrieving, by a computing device, a plurality of passages relevant to a search query generating a plurality of question-passage pairs, wherein each question-passage pair includes the search query and an individual passage of the plurality of passages, and determining, using a computer model, a probability that a passage of each question-passage pair of at least some of the plurality of question-passage pairs is an answer to a question posed by the search query. The method also includes displaying, on an electronic display, a selected passage of a question-passage pair having a highest probability that the passage is the answer to the question posed by the search query.

Abstract: Embodiments of the present disclosure include systems, methods, and devices for tracking a shipment using a wireless tracker. In such embodiments, the wireless tracker determines a location of the wireless tracker device and regulates battery usage of wireless tracker based on the location. In addition, the wireless tracker is configured to determine a current location of the wireless tracker device at one or more intervals such that the one or more intervals are based on a delivery route of the shipment. Moreover, the wireless tracker is configured to receive and verify one or more codes to for a chain of custody of the shipment. Also, the wireless tracker is configured to determine a trigger event based on the location of the wireless tracker device and/or sensor information as well as send a notification to a computer server based on the trigger event.

Abstract: A system selects a set of advertisement media associated with a product. A set of persistent advertisement media from the set of advertisement media is identified based on one or more tests. A Gaussian Bayesian (GB) network based on the set of advertisement media. A net persistence rate for each of the set of persistent advertisement media is determined based on the GB network. a competitor factor associated with another vendor of the product is computed based on one or more marketing parameters associated with the another vendor. A predicted sales (PS) value associated with each of the set of persistent advertisement media is determined. A persistent advertisement medium is selected in real time based on corresponding PS value. An advertisement is rendered on the selected persistent advertisement medium in real time for marketing the product.