Abstract: A computing device including a plurality of sensors, a system-on-module, a safety microcontroller and a plurality of communication interfaces communicatively coupling the system-on-module, the safety microcontroller and the plurality of sensors together. The system-on module can include an integrated interconnection of a plurality of different types of cores and one or more different types of memory. The system-on module can be configured to control operation and or performance of a system. The safety microcontroller can be configured to provide safety supervision of the system-on-module.

Abstract: In some aspects, the techniques described herein relate to a method including: receiving, at a query platform, a query text string; tokenizing, by the query platform, the query text string, wherein the tokenizing generates a query vector embedding; determining, by the query platform, a document vector embedding, wherein the document vector embedding is above a similarity threshold with respect to the query vector embedding; retrieving, by the query platform, textual document data related to the document vector embedding; sending, by the query platform, the query text string and the textual document data to a generative model engine; receiving, by the query platform and from the generative model engine, a natural language response to the query text string; and displaying, by the query platform, the natural language response via an interface.

Abstract: An automated cruise control system is disclosed. Sensors detect driving parameters associated with the ground vehicle as the ground vehicle maneuvers along a segment of the roadway. A ground vehicle control detector detects ground vehicle control inputs associated with an operation of the ground vehicle. The ground vehicle control inputs are generated from a longitudinal operation of the ground vehicle. A energy consumption cruise controller automatically adjusts the operation of the ground vehicle as the ground vehicle maneuvers along the segment of the roadway to maintain the operation of the ground vehicle within an operation threshold based on the detected driving parameters and ground vehicle control inputs. The operation threshold is the operation of the ground vehicle that decreases an amount of overall energy consumed by the ground vehicle and maintains a longitudinal speed of the ground vehicle within a longitudinal speed threshold.

Abstract: According to one embodiment, a method, computer system, and computer program product for privacy-enhanced, biometrics-based authentication is provided. The embodiment may include capturing credential information on a credential medium and biometric information for a user, each provided by the user, by one or more information capture devices. The embodiment may also include identifying a hash stored on the credential medium based on the captured credential information. The embodiment may further include calculating, locally, a hash of the biometric information using a preconfigured hashing algorithm. The embodiment may also include, in response to the identified hash matching the calculated hash, authenticating the user.

Abstract: In some aspects, the techniques described herein relate to a method including: receiving, at a query platform, a query text string; tokenizing, by the query platform, the query text string, wherein the tokenizing generates a query vector embedding; determining, by the query platform, a document vector embedding, wherein the document vector embedding is above a similarity threshold with respect to the query vector embedding; retrieving, by the query platform, textual document data related to the document vector embedding; sending, by the query platform, the query text string and the textual document data to a generative model engine; receiving, by the query platform and from the generative model engine, a natural language response to the query text string; and displaying, by the query platform, the natural language response via an interface.

Abstract: A computing device including a plurality of sensors, a system-on-module, a safety microcontroller and a plurality of communication interfaces communicatively coupling the system-on-module, the safety microcontroller and the plurality of sensors together. The system-on module can include an integrated interconnection of a plurality of different types of cores and one or more different types of memory. The system-on module can be configured to control operation and or performance of a system. The safety microcontroller can be configured to provide safety supervision of the system-on-module.

Abstract: A method and a system for using machine learning technology to optimize a scheduling strategy for establishing contact with a customer are provided. The method includes: receiving a data set that relates to a customer account; analyzing the data set to determine at least one proposed schedule for an attempt to contact the customer; and generating, based on a result of the analysis, a report that includes the proposed schedule. The analysis may be performed by applying a machine learning model that is trained by using historical data that relates to interactions associated with the customer.

Abstract: According to one embodiment, a method, computer system, and computer program product for privacy-enhanced, biometrics-based authentication is provided. The embodiment may include capturing credential information on a credential medium and biometric information for a user, each provided by the user, by one or more information capture devices. The embodiment may also include identifying a hash stored on the credential medium based on the captured credential information. The embodiment may further include calculating, locally, a hash of the biometric information using a preconfigured hashing algorithm. The embodiment may also include, in response to the identified hash matching the calculated hash, authenticating the user.

Abstract: Compositions and methods for reducing the growth of and/or preventing the formation of a microbial biofilm are disclosed. The composition comprises an antimicrobial SMR peptide comprising an HIV-1 SMRwt peptide and a cell penetrating peptide (CPP) domain. In some embodiments, the composition further comprises one or more other antimicrobial peptides (AMPs), antibiotics, matrix-inhibiting compounds, matrix-disaggregating compounds, quorum sensing inhibitors, or a combination thereof. In other embodiments, the compositions are used for impregnating or coating an article and/or material surface with the composition to render it less prone to microbial infections.

Abstract: Compositions and methods for reducing the growth of and/or preventing the formation of a microbial biofilm are disclosed. The composition comprises an antimicrobial SMR peptide comprising an HIV-1 SMRwt peptide and a cell penetrating peptide (CPP) domain. In some embodiments, the composition further comprises one or more other antimicrobial peptides (AMPs), antibiotics, matrix-inhibiting compounds, matrix-disaggregating compounds, quorum sensing inhibitors, or a combination thereof. In other embodiments, the compositions are used for impregnating or coating an article and/or material surface with the composition to render it less prone to microbial infections.

Abstract: The present application relates to methods of producing exosomes. The application also provides a method for preparing a protein composition comprising culturing an exosome-producing cell expressing a Nef-fusion protein comprising a Nef-derived peptide fused to a protein of interest; isolating exosomes from the exosome-producing cell culture; and purifying the protein of interest from the isolated exosomes. The application further discloses compositions that comprise exosomes containing the Nef-fusion protein, as well as methods of using the Nef-fusion protein and exosomes containing the Nef-fusion protein.

Abstract: A system and method for sizing defects in solid structures using guided waves. The system includes a magnetostrictive-strip EMAT transducer comprising at least one biasing static magnetic field, at least one RF coil for fixed-wavelength measurements, at least one RF coil for variable-wavelength measurements, and a strip of highly magnetostrictive material that is coupled with the structure. The fixed-wavelength RF coil permits obtaining measurements of amplitude and frequency content of signals reflected and/or attenuated when traveling through the structure which are used to estimate the size and geometry of any defects in this structure. The variable-wavelength RF coil permits recording the frequencies that are cut off or pass through the structure to also estimate the size of any defects in the structure. The fixed-wavelength sizing and geometry assessment is used to determine whether the variable-wavelength estimate is valid.

Abstract: An aqueous ink composition for inkjet printing on non-porous substrates and a method for forming the same are disclosed. For example, the method includes preparing a primary polymer latex with an aromatic functional group, a hydrogen-bonding group, a flexible side-chain, and an ionic functional group and mixing the primary polymer latex with a secondary latex binder and one or more co-solvents.

Abstract: The present application discloses a method for treating microbial infection using an antimicrobial composition comprises antimicrobial peptide which contains at least one VGFPV motif.

Abstract: The present application discloses a method for treating microbial infection using an antimicrobial composition comprises antimicrobial peptide which contains at least one VGFPV motif.

Abstract: A normalized driver performance comparison framework can include predicting a plurality of scenarios of a ground vehicle. A Monte Carlo simulation can be utilized to determine results using the predicted plurality of scenarios and one or more predictive models. Best and worst possible scenarios and associated efficiency for an observed scenario can be determined based on the Monte Carlo simulation results. The efficiency for the observed scenario can be normalized as a function of the best and worst efficiencies.

Abstract: A ground vehicle control system including a plurality of sensors and one or more predictive controllers. The sensors can be configured to detect environment information and vehicle operating information. The one or more predictive controllers can be configured to self-train for an energy consumption solution based on one or more control parameters including the environment information and the vehicle operating information.

Abstract: A computing device including a plurality of sensors, a system-on-module, a safety microcontroller and a plurality of communication interfaces communicatively coupling the system-on-module, the safety microcontroller and the plurality of sensors together. The system-on module can include an integrated interconnection of a plurality of different types of cores and one or more different types of memory. The system-on module can be configured to control operation and or performance of a system. The safety microcontroller can be configured to provide safety supervision of the system-on-module.

Abstract: Presented systems and methods facilitate efficient and effective performance of vehicle operations. In one embodiment, a system comprises a user interface, a processor, and a memory. The user interface is configured to convey information associated with operation of a vehicle to and from a user, wherein the information associated with the operation of the vehicle includes information associated with a performance objective. Information associated with the operation of the vehicle can include metric information that expresses a characteristic corresponding to the performance objective. The metric information can be associated with various aspects (e.g., current, future, etc.) of the vehicle operation. Processing by the processor can include comparative analysis of actual performance of the vehicle operation to target values associated with the vehicle operation. The user interface can include a performance indicator.

Abstract: Techniques for utilizing a Monte Carlo model to perform pre-training of a ground vehicle controller. A sampled distribution of actions and corresponding states can be utilized to train a reinforcement learning controller policy, learn an action-value function, or select a set of control parameters with a predetermined loss.