Abstract: A system including one or more processors is provided. The one or more processors can receive data regarding charging sessions of electric vehicles at a plurality of chargers. The one or more processors can generate a score for each of the plurality of chargers based at least on the data regarding the charging sessions. The one or more processors can generate a path from a current location of a vehicle to a destination that includes a location for each of at least one of the plurality of chargers selected at least based on the scores. The one or more processors can update a user interface to depict the path including the location for each of the at least one of the plurality of chargers.

Abstract: A plethysmograph variability processor inputs a plethysmograph waveform having pulses corresponding to pulsatile blood flow within a tissue site. The processor derives plethysmograph values based upon selected plethysmograph features, determines variability values, and calculates a plethysmograph variability parameter. The variability values indicate the variability of the plethysmograph features. The plethysmograph variability parameter is representative of the variability values and provides a useful indication of various physiological conditions and the efficacy of treatment for those conditions.

Abstract: Various systems, methods, and devices are described for AI platform that may utilize a machine learning model configured to generate one or more overlays associated with a received input. In an example, systems and methods of generating one or more overlays may include receiving a media item and an input. The input may be natural language text or audio associated with a user. The machine learning model may be used to determine context associated with the input. Based on determining the context of the input, the machine learning model may generate one or more overlays. The user may select from the one or more overlays, indicating one or more overlays to user in conjunction to the media item. A combined media may be provided to the user where the selected overlays may be superimposed on the media item.

Abstract: A computer-implemented method includes receiving information corresponding to a data center, the information including an identifier of a type of the data center, identifying a server cluster type according to the data center type, outputting, to a user interface, a predefined list configured to obtain mapping information from a user, wherein the predefined list and mapping information are structured based on the server cluster type, receiving the mapping information from the user interface in response to the predefined list, wherein the mapping information includes one or more identifiers of material installed in the data center, and storing the structured mapping information in a storage device.

Abstract: Disclosed are various embodiments for self-healing data clusters. One or more candidates are determined from the candidate pool to be evaluated with the new record. A unique pair combination is generated for each one of the candidates of the candidate pool and the new record. Next, candidate data for the one or more candidates is identified from the existing record based at least in part on one or more matching rules. A weight is assigned to one or more matching rules. Then, the candidate data of the one or more candidates and the new record is evaluated for a data linkage. A distance is calculated between each of the unique pair combinations. Finally, the candidates of the existing record and the new record are clustered into groups.

Abstract: A method for processing image data, may include: receiving at least one image; segregating the at least one image into at least one region, based on a requested noise reduction level; and denoising the at least one image by varying at least one control feature of the segregated at least one region by a neural network to achieve the requested noise reduction level.

Abstract: The present application relates to a system and method for highlight detection, and includes a highlight detection method for detecting highlights of a stream. The method comprises: collecting purchasing information from a user terminal; and detecting the highlight of the stream according to the purchasing information. The purchasing information includes purchasing actions of the user terminal, and the purchasing actions are actions related to purchase of the user terminal. According to the subject application, the highlights may be detected, captured and generated automatically, and the time and efforts for manual work may be saved.

Abstract: A method of managing desired states of software-defined data centers (SDDCs), includes the steps of: in response to a user selection of a first modular template that includes a first set of desired configurations and a user selection of a second modular template that includes a second set of desired configurations, creating a composite template that includes desired configurations from the first and second modular templates; and in response to a user selection to assign the composite template to an SDDC, creating a desired state document that includes desired configurations from the composite template and then transmitting an instruction to update actual configurations of the SDDC to match corresponding desired configurations from the desired state document.

Abstract: A computer implemented approach is proposed for computationally establishing joint custodial features to augment functionality of digital data objects recorded on a distributed ledger data structure. A specialized smart contract data object used as an improved digital wallet object is persisted on the distributed ledger data structure which provides a feature interface between a cryptographic wallet controlled directly by an individual, and a set of institutional computing systems and corresponding protocols. The specialized smart contract data object is configured to be a multi-signature joint custody safe data object, the specialized smart contract data object persisted as an interactive data object on a decentralized virtual environment that is configured to automatically execute code consistently and securely across nodes of a decentralized network whose ledger forms a Turing Complete state-machine based computing environment.

Abstract: A glass manufacturing apparatus includes a forming apparatus defining a travel path extending in a travel direction. The forming apparatus conveys a ribbon of glass-forming material along the travel path in the travel direction of the forming apparatus. The glass manufacturing apparatus includes a cooling tube extending substantially parallel to the travel path and extending across the travel direction. The cooling tube includes a plurality of orifices spaced apart along the cooling tube and facing the travel path. Methods of manufacturing glass can comprise flowing a coolant from an outlet of a conduit in a direction toward a target location of a flowing ribbon of molten material. Methods can also include changing a phase of the coolant while the coolant is flowing towards the target location. The change in phase can cool the target location.

Abstract: Systems, computer program products, and methods are described herein for determining causes of network anomalies across a distributed network. The method includes determining one or more known indicator patterns from one or more error logs for one or more applications on a network. The method also includes receiving one or more performance indicators during an execution of an application. The method further includes comparing the one or more performance indicators to one or more known indicator patterns. The method also includes determining at least one of the one or more performance indicators that is malfeasant. The method also includes determining a malfeasant component of the network based on the one or more performance indicators that is malfeasant. The method also includes determining a remediation action to be executed in response to the comparison of the one or more performance indicators to one or more known indicator patterns.

Abstract: A method includes receiving a learning requirement for a user. A preliminary learning recommendation is generated based on the learning requirement of the user and learning histories of a plurality of users. The preliminary learning recommendation is filtered to generate a filtered learning recommendation. A problem of finding an improved learning recommendation from the filtered learning recommendation is mapped to a quantum Ising model. A quantum annealing process is performed one or more times to determine one or more final quantum states from an initial quantum state. One or more energies of the quantum Ising model are determined for the one or more final quantum states. A minimum energy is determined among the determined energies. A target quantum state that corresponds to the minimum energy is determined among the determined final quantum states. The improved learning recommendation is determined from the target quantum state and is sent to the user.

Abstract: A computer-implemented method includes receiving a sequence of acoustic frames as input to an automatic speech recognition (ASR) model. Here, the ASR model includes a causal encoder and a decoder. The method also includes generating, by the causal encoder, a first higher order feature representation for a corresponding acoustic frame in the sequence of acoustic frames. The method also includes generating, by the decoder, a first probability distribution over possible speech recognition hypotheses. Here, the causal encoder includes a stack of causal encoder layers each including a Recurrent Neural Network (RNN) Attention-Performer module that applies linear attention.

Abstract: There is provided a device for processing harvested skin. The device includes a bed 104 to hold a skin graft held over a template 110 and a support part 102 with multiple cutting slots 114 running through a length of the support part 102. The support part 102 is positioned over the bed 104 to apply a uniform force to press the support part 102 against the skin graft. A first cut of the skin graft is performed with a scalpel blade by locking the support part 102 at a zero position against the bed 104 and a second cut of the skin graft is performed by lifting the support part 102 facilitated by a lifting element and locking the support part 102 by rotating the support part 102 to 90 degrees from the zero position with respect to the bed 102 to obtain a square shaped skin graft pieces.

Abstract: An electric drive system of a motor vehicle or another battery electric system includes a power inverter module (PIM) connected to a DC power supply, an alternating current (AC) motor connected to the PIM and to a load, and a controller. The motor is a salient machine. Control logic of the controller includes a plant model of the electric drive system. The plant model includes an asymmetric time constant of the motor. The controller selectively modifies the asymmetric time constant via selective and independent operating point-specific manipulation of direct axis (d-axis) and quadrature axis (q-axis) inductance and resistance. The asymmetric time constant is virtually translated in the control logic into a symmetric modified time constant by manipulating or adding virtual inductive and virtual resistive terms independently and per operating point. The controller controls the motor at the operating point using the symmetric modified time constant.

Abstract: The present disclosure relates to a system, a method and a computer-readable tangible non-transitory medium for recommending live streaming data. The method includes identifying a set of live streaming programs according to an attribute of the user and a tag of each live streaming program in the set of live streaming programs, generating a first subset of live streaming programs from the set of live streaming programs according to a first criterion, and generating a second subset of live streaming programs from the set of live streaming programs according to a second criterion. The first criterion is different from the second criterion. The present disclosure can recommend contents in a more efficient way and increase user engagements.

Abstract: The present invention is directed to certain 2-aminoquinzaoline derivatives of Formula (I): Formula (I) and pharmaceutically acceptable salts thereof, wherein R1, R2, and R3 are as defined herein, which are potent inhibitors of LRRK2 kinase and may be useful in the treatment or prevention of diseases in which the LRRK2 kinase is involved, such as Parkinson's Disease and other diseases and disorders described herein. The invention is also directed to pharmaceutical compositions comprising these compounds and the use of these compounds and compositions in the prevention or treatment of such diseases in which LRRK-2 kinase is involved.

Abstract: The present disclosure relates to systems and methods for detecting and assessing microbiome diseases by assaying a biological sample of a subject. The system comprising: means for providing the biological sample containing microorganisms, means for isolating the microorganisms from the biological sample, means for performing one or more tests on the isolated microorganisms selected from the group consisting of a sequencing test, a PCR-based test, an ELISA-based test, a mass spectrometry-based test, or other suitable tests to detect and identify the presence of a microbiome disease; andmeans for generating and providing a report based on results of the tests performed.

Abstract: A method and system for providing patient indications to an entity, the method comprising: for each of a set of patients: by way of an application executing at a mobile computing device, accessing a sensor system and a log of use of a communication application executing on the mobile computing device; receiving a survey response dataset; generating a behavioral dataset, derived from the sensor system and the log of use; generating a predictive model derived from at least one of the survey response dataset and the behavioral dataset; generating comparisons of outputs of blocks of the method to threshold conditions; producing a set of indications corresponding to the set of patients, derived from generation of, for each of the set of patients, an indication in response to the comparisons; and transmitting a portion of the set of indications to the entity according to a resource constraint of the entity.

Abstract: A framework provides a detailed explanation regarding specific aspects of a (complex) calculation produced by an application (e.g., an analytical application). An explainability engine receives a request for explanation of the calculation. The explainability engine traverses homogenous data clusters according to the request, in order to produce a final path. The final path is used to select and then populate a template comprising explanation note(s). The outcome (comprising the final path and the template) is processed with a ruleset according to a covariance (COV) function in order to provide a first intermediate outcome. The first intermediate result is then processed with a second input according to a correlation (COR) function to provide a second intermediate outcome. The second intermediate result is processed according to a challenge function to provide a challenged outcome, and feedback (e.g., reward or penalization) to the ruleset. The challenged outcome provides detailed explanation to the user.