Abstract: A method for training a machine learning model using information pertaining to characteristics of upload activity performed at one or more client devices includes generating first training input including (i) information identifying, for each of the application categories, a frequency of upload activity that corresponds to uploading first amounts of data during a specified time interval. The method includes generating a first target output that indicates whether the frequency of upload activity that corresponds to uploading the first amounts of data corresponds to malicious or non-malicious upload activity. The method includes providing the training data to train the machine learning model on (i) a set of training inputs including the first training input, and (ii) a set of target outputs including the first target output.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for an early fraud detection system. One of the methods includes generating a tracker for a personal communication with a user. The method includes transmitting the personal communication to the user. The method also includes receiving a request identifying the tracker, wherein the request originates from an address. In addition, the method includes detecting a potential security breach based on the address.

Abstract: This disclosure relates generally to a method and a system for computing using a field programmable gate array (FPGA) neuromorphic architecture. Implementing energy efficient Artificial Intelligence (AI) applications at power constrained environment/devices is challenging due to huge energy consumption during both training and inferencing. The disclosure is a FPGA architecture based neuromorphic computing platform, the basic components include a plurality of neurons and memory. The FPGA neuromorphic architecture is parameterized, parallel and modular, thus enabling improved energy/inference and Latency-Throughput. Based on values of the plurality of features of the data set, the FPGA neuromorphic architecture is generated in a modular and parallel fashion. The output of the disclosed FPGA neuromorphic architecture is the plurality of output spikes from the neuron, which becomes the basis of inference for computing.

Abstract: Disclosed herein are immunogenic compositions for preventing or treating infection with filarial parasites and biomarkers for diagnosing infection with filarial parasites.

Abstract: A method may include receiving static input data comprising a plurality of heath states for individuals over a period of time with respect to respective locations, receiving event scenario data comprising expected paths for weather events, and generating a quantum health state model based on the static input data and the event scenario data. The quantum health state model may evaluate each health state with respect to the individuals at the respective locations and the weather events in superposition. The method may receive dynamic input data associated with the individuals and a plurality of sensors acquired after the first dataset. The method may determine that an individual of the plurality of individuals is associated with a health data value that is greater than a threshold based on the quantum health state model and the dynamic input data and automatically transmit notifications indicative of the expected location to devices.

Abstract: A method for agent interaction analysis using artificial intelligence according to an embodiment includes receiving a transcript for a real-time agent interaction between a contact center agent and client, processing the interaction using at least one artificial intelligence model to determine a call adherence score, an agent positivity score, a client sentiment, an agent sentiment, and a plurality of agent skill levels associated with respective agent skills, determining a combined agent performance score based on the call adherence score and the agent positivity score, transmitting the combined agent performance score to an agent device for display on a gamification dashboard, retrieving agent-specific content of the contact center agent in response to determining that the agent sentiment is negative, and transmitting the agent-specific content to the agent device for display in conjunction with the real-time agent interaction to improve the agent sentiment.

Abstract: A method for conducting an automated dialogue between an inbound automated voice resource (IAVR) and an outbound automated voice resource (OAVR) during a voice communication session. The IAVR receives an initiation of the session from the OAVR and transmits a speech communication to the OAVR during the session, wherein a digital watermark is embedded in the speech communication. The OAVR identifies the digital watermark in response to analyzing the speech communication and converts an OAVR communication language from speech to machine language in response to determining that the IAVR interprets machine language based on the digital watermark. The OAVR transmits a machine language communication to the IAVR, whereby the IAVR converts an IAVR communication language from speech to machine language in response to determining that the OAVR interprets machine language based on the machine language communication. The automated dialogue is completed between the IAVR and the OAVR using machine language.

Abstract: Various embodiments described herein provide systems and methods for identifying potentially erroneous transactions. A hardware processing device may receive user data indicative of historical actions taken by a user relative to transactions, automatically process the user data to generate a plurality of rules, and automatically apply the rules to a transaction to determine that the transaction is likely to be erroneous. An output device may output a notification to the user to indicate that the transaction is likely to be erroneous. The transaction may have a plurality of attributes, each of which falls within one of a plurality of categories. Automatically processing the user data may include analyzing historical actions of the user relative to historical transactions that also have the attributes. Automatically applying the rules to the transaction may include comparing the attributes of the transaction with the rules.

Abstract: Described are a system, method, and computer program product for generating a synthetic control group. The method includes receiving transaction data associated a first set of transaction accounts in a first time period and generating a synthetic control group including a subset of transaction accounts. The method also includes determining, for each transaction account of the synthetic control group, a propensity score representative of a likelihood of said transaction account being associated with a test group, and a predictive spending score for a second time period. The method further includes balancing the synthetic control group and altering at least one operational parameter of a computer-implemented advertisement program to be executed in a second time period based on the transaction data and the synthetic control group. The method further includes executing the computer-implemented advertisement program in the second time period based on the at least one operational parameter that was altered.

Abstract: An issuing authority (IA) may validate the identity of a user and issue a digital license to the user. IA may generate IA public-private key pair, and provide IA public key to the certification authority (CA). IA may sign the digital license with IA private key, and provision the signed digital license on the user device. IA may request CA to certify the digital license. CA may use IA public key to validate the digital license, and sign IA public key with CA private key, thereby generating a digital certificate associated with the issuing authority that is linked to the digital license. A relying party may use CA public key to validate the digital license. The relying party can retrieve the information from the digital license and trust that the retrieved information is legitimate.

Abstract: A method of optimizing a design of a wellbore drilling operation based on at least one set of offset well data. A drilling path record for each offset well comprises a set of drilling parameters separated into depth segments. An optimization process determines a drilling dysfunction for each set of drilling parameter by comparing the drilling parameter to a maximum value. The optimization process determines the maximum rate of penetration for each depth segment by comparing the sets of drilling parameters without a drilling dysfunction. The optimization process generates an optimum drilling roadmap in response to determining the drilling parameters for the maxim um rate of penetration for each depth segment. A drilling operation can drill a wellbore via the optimum drilling roadmap.

Abstract: Systems and methods related to an online security center are provided. For example, one or more processors may determine a distance between electronic devices associated with a user and a login attempt. When a threshold distance is exceeded, an alert may be provided to the electronic device associated with the user.

Abstract: A method comprises a token requestor computer transmitting a first authorization request message comprising a token and first cryptogram for authorization of an interaction to a server computer. The token requestor computer receives a first authorization response message comprising a response code from the server computer, then generates a cryptogram request message comprising the token or a token identifier and the response code. The token requestor computer transmits the cryptogram request message to a token provider computer, which generates a second cryptogram. The token requestor computer receives the second cryptogram and credential and generates a second authorization request message comprising the second cryptogram and the credential. The token requestor computer transmits the second authorization request message to the server computer. A second authorization response message is received from the server computer in response to the second authorization request message.

Abstract: A cloud-based application is implemented on a processing system in communication with a media automation system via a communications network. The cloud-based application includes instructions to obtain user information associated with a user of the cloud-based application, to transmit the user information through the communications network to the media automation system, and to transmit a request for available media items through the communications network to the media automation system, which selects available media items in accordance with the user information. In response to its request for available media items, the cloud-based application receives from the media automation system a message identifying at least one media item to be delivered to the user. The cloud-based application transmits the at least one media item to the user of the cloud-based application via the communications network.

Abstract: Technology for determining a queue position of a call from a user can include receiving, at an enterprise, the call from a user device associated with the user. The user device includes an application associated with the enterprise. The call is placed into an on-hold queue. A weighted level of importance associated with the call is determined based on call history information associated with the user device and call frequency associated with the user. The weighted level of importance is compared to at least one weight threshold. A wait time for the call is decreased based on the weighted level of importance meeting or exceeding the at least one weight threshold.

Abstract: A method can be used to determine multi-phase measurements of fluid flowing with respect to a wellbore. Signals can be received, and the signals can be emitted by each variable frequency acoustic emitter of a set of variable frequency acoustic emitters positioned spaced apart in a sensing transducer that is in an interior of a wellbore. The received signals can be converted into a flow rate of each of a set of different fluid phases of a fluid in the wellbore. The multi-phase measurements of the fluid can be determined using the converted flow rate.

Abstract: At least some embodiments are directed to a dynamic card. The dynamic card transmits a first temporary card identification number to a computing device. The dynamic card is without an internal power source and is powered up by an external power source housed within the computing device. The dynamic card determines an absence of unused encrypted card identification numbers and receives a set of encrypted card identification numbers from a server. The dynamic card decrypts a second temporary card identification number from the encrypted card identification numbers and shows the second temporary card identification number on a display, replacing the first temporary card identification number. The second temporary card identification number remains shown on the display after the power from the external power source is discontinued. The second temporary card identification number can be used in a subsequent interaction with another computing device.

Abstract: A tank car recovery system utilizes a lifting bar that attaches at two points to the tank car by lifting points. The lifting bar is raised by hoists attached at either side. Rigging is connected to the hoists and the lifting bar. Rigging is also used to attach the lifting bar to the tank car. The hoists are operated separately to adjust the position or rate of movement of each side of the tank car.

Abstract: Disclosed embodiments include systems and methods for providing maintenance to a pump of a pumping unit in situ within a red zone of a pressurized wellbore services system. Ballistic barriers may be disposed between the pumping unit and the pressurized wellbore services manifold, and the pump may be remotely isolated from fluid communication with the wellbore services manifold and depressurized. Additionally, a secondary barrier, for example on a shielded work platform, may further protect workers, allowing for safe and efficient maintenance of the pump.