Abstract: A method of treating a deficient native mitral valve of a heart of a patient includes advancing a steerable, first catheter through the patient's vasculature, advancing the distal end portion of the first catheter into the heart to position the distal end portion of the first catheter adjacent the native mitral valve, adjusting the curvature of the distal end portion of the first catheter to form a first curve, advancing a distal end portion of a second catheter from a distal end of the first catheter, wherein the distal end portion of the second catheter is pre-shaped to form a second curve when advanced from the first catheter, and deploying a wire from the second catheter such that the wire extends around native leaflets of the native mitral valve.

Abstract: Methods and systems for inference generation are disclosed. To manage inference generation, a system may include an inference model manager and any number of data processing systems. The inference model manager may represent an inference model as a bipartite graph in order to obtain portions of the inference model. Each portion of the inference model may be distributed to one data processing system so that the data processing systems may collectively generate inferences usable by a downstream consumer. Portions of the inference model may be obtained so that each portion matches the available computing resources of a data processing system throughout the distributed environment. In addition, the portions may be obtained in order to reduce inter-data processing system communications during execution of the inference model.

Abstract: Methods and systems for seamlessly changing over between inference models are disclosed. The inference models may be distributed across multiple data processing systems. Provide a seamless changeover, updated inference models and original inference models may be managed in accordance with an update framework. The update framework may ensure that the original inference model continues to operate until all of the portions of the updated inference model are in place and ready to operate. During the update process, the update framework may ensure that redundancy goals continue to be met so that failures of some of the data processing systems are not be fatal to continued operation of at least one of the inference models, such as the original or updated inference model.

Abstract: Methods and systems for inference generation are disclosed. To manage inference generation, a system may include an inference model manager and any number of data processing systems. The inference model manager may partition an inference model into portions. Portions of the inference model may be distributed to data processing systems in accordance with an execution plan. The execution plan may include instructions for timely execution of the inference model with respect to the needs of a downstream consumer. The inference model manager may manage execution of the inference model by monitoring the functionality of the data processing systems and dynamically re-assigning and/or re-locating data processing systems in the event that one or more data processing systems becomes unable to execute a portion of the inference model.

Abstract: Techniques and apparatus to provide for interactions between system components are described. In one embodiment, an apparatus to provide a component interface, the apparatus comprising at least one memory, a first component comprising at least one register, logic, at least a portion of comprised in hardware, the logic to define at least one interface field stored in the at least one register, generate an interface with a second component based on the at least one interface field, and receive interface information from the second component via the interface, the interface information comprising at least one value for the at least one interface field.

Abstract: A Geo-synchronization system involves a video camera in a vehicle, such as a drone, that captures aerial images of an area. The success rate and the accuracy of the geo-synchronization algorithms is improved by using a trained feed-forward Artificial Neural Network (ANN) for identifying dynamic objects, that changes overtime, in frames captured by the video camera. Such frames are tagged, such as by adding metadata. The tagged frames may be used in a geosynchronization algorithm that may be based on comparing with reference images or may be based on another or same ANN, by removing the dynamic object from the fame, or removing the tagged frame for the algorithm. A dynamic object may change over time due to environmental conditions, such as weather changes, or geographical changes. The environmental condition may change is in response to the Earth rotation, the Moon orbit, or the Earth orbit around the Sun.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training neural networks. In one aspect, a system includes a neural network shrinking engine that is configured to receive a neural network being trained and generate a reduced neural network by a shrinking process. The shrinking process includes training the neural network based on a shrinking engine loss function that includes terms penalizing active neurons of the neural network and removing inactive neurons from the neural network. The system includes a neural network expansion engine that is configured to receive the neural network being trained and generate an expanded neural network by an expansion process including adding new neurons to the neural network and training the neural network based on an expanding engine loss function. The system includes a training subsystem that generates reduced neural networks and expanded neural networks.

Abstract: This application discloses configurations for arranging transducer arrays on a person's head to impose tumor treating fields (TTFields) in the brain at field strengths that are as uniform as possible throughout the entire brain. In some embodiments, L-shaped sets of electrodes are positioned near the right and left ears, each with a horizontal arm above the ear and a vertical arm behind the ear. Optionally, these embodiments may be combined with a second pair of electrodes positioned on top of the head and behind the neck. In other embodiments, one pair of electrodes is positioned above the right ear and on the left/rear portion of the neck; and a second pair of electrodes is positioned above the left ear and on the right/rear portion of the neck. These configurations improve the uniformity of the electric fields imposed throughout the brain, and are particularly useful for preventing and/or treating metastases.

Abstract: Systems, methods and non-transitory computer readable media for ownership determination in privacy firewalls are provided. A request of a user to perform an action for creating a new data collection using source data collections may be received. In response to the user not having permission to view at least part of at least one of the source data collections and the user not being an owner of the at least one of the source data collections, it may be determined that the user is not an owner of the new data collection, and in response to the user being at least an owner of the data collection or having permission to view the entire data collection for all source data collections, it may be determined that the user is an owner of the new data collection.

Abstract: A clock generator calibration system can include a phased-locked loop and a correction circuit. The PLL can generate an output clock signal, and the correction circuit can adjust a frequency signal of the PLL based on a digital signal of the PLL. The digital signal can be generated based on the adjusted frequency signal.

Abstract: Various implementations described herein are directed to methods for connecting power devices prior to deployment in a photovoltaic installation, for cost savings and easy deployment. Some embodiments disclosed herein include manufacturing a chain of power devices already coupled by conductors, and providing a mechanical assembly for convenient storage and deployment.

Abstract: Techniques are provided for automated query modification using graphical query representations. One method comprises obtaining a query referencing multiple fields in one or more information elements; generating a graph of the query by: establishing nodes for referenced fields; connecting the established nodes corresponding to referenced fields from a same information element using one or more edges; adding edges, for operations in the query that establish a connection between information elements based at least in part on a related field in the information elements, to connect the nodes corresponding to the related fields; and setting a status of nodes corresponding to fields that are selected in the query to a selected status; and initiating an automatic generation of a modification of a portion of the query based at least in part on the graph. The modification may comprise a correction, completion and/or enrichment of the query.

Abstract: Methods and systems for managing data aggregation in a distributed environment are disclosed. The data may be aggregated using twin inference models which may be used to reduce a quantity of data transmitted to aggregate the data. To obtain twin inference models, models may be trained which may consume computing resources. A computing resource cost for training the twin inference models may be estimated based on an estimated number of twin inferences models necessary to meet inference accuracy goals. A model training device that has an available quantity of computing resources sufficient to meet the computing resource cost may be obtained. The model training device may be used to train and distribute inference models for data aggregation purposes.

Abstract: A system that is capable of performing a fully automated ultrasonic (US) scan. The subject that is undergoing the scan associates with the system and the scan is performed without any human intervention. The US probe comprises an US transducer that is configured to generate US signals and detect their reflections, to collect acoustic data during the scan. The US probe is moved by a probe-motioning unit that is affixed and is configured to move the US probe in up to six degrees of freedom according to the desired scan pattern that is determined by a processing circuitry of the system, i.e. a control unit. Therefore, any anatomical landmark of the eye can be scanned from any desired angle. The processing circuitry is configured to control the operation of the US probe and the probe-motioning unit to execute a desired scan pattern.

Abstract: Methods and systems for managing data collection are disclosed. A data aggregator may aggregate data collected by a data collector. To reduce computing resources used for aggregation, the data aggregator and data collector may use inferences provided by a twin inference model in place of data collected by the data collector rather than receiving copies of data from the data collector. Over time, the aggregated data may be revised using revised inference models that are revised using subsequently obtained data from the data collector. The revised inference models may be used to obtain revised inferences that may replace original inferences in the aggregated data. The revised inferences may be of higher accuracy due to differences in the data upon which the inference and revised inference models are based.

Abstract: Methods and systems for managing data collection are disclosed. A data aggregator may aggregate data collected by a data collector. To reduce computing resources used for aggregation, the data aggregator and data collector may implement a multi-stage data reduction processes to reduce the quantity of data transmitted for data aggregation purposes. The multi-stage data reduction process may include implementing twin inference models at the aggregator and collector, identifying relationships in the data collected by the data collector using feature relationship inference models, transmitting a portion of the collected data to the data aggregator and withholding a second portion of the collected data based on acceptable level of error for use of the collected data, and reconstructing the withheld portion of the collected data at the aggregator. The reconstructed portion of the collected data may include the acceptable level of error when compared to a corresponding portion of the collected data.

Abstract: Methods and systems for managing aggregation of data throughout a distributed environment are disclosed. To manage aggregation of data, a system may include a data aggregator and one or more data collectors. The data aggregator may obtain a threshold, the threshold indicating an acceptable error level associated with a downstream consumer of the aggregated data. The data aggregator may obtain the acceptable error level by simulating operation of the downstream consumer using synthetic data sets. The synthetic data sets may include different levels of error and, therefore, the data aggregator may determine a level of error that may impact the operation of the downstream consumer to an acceptable degree. In order to facilitate data aggregation, an inference model may be implemented that meets the threshold while consuming a minimum quantity of computing resources during operation.

Abstract: Methods and systems for managing distribution of inference models throughout a distributed system are disclosed. To manage distribution of inference models, a system may include a data aggregator and one or more data collectors. The data aggregator may obtain a threshold, the threshold indicating an acceptable inference error rate for an inference model. The data aggregator may obtain an inference model based on the threshold by training an inference model, performing a lookup in an inference model lookup table, or via other methods. The data aggregator may optimize the inference model to determine the minimum quantity of computing resources consumed by an inference model in order to generate inferences accurate within the threshold. In order to do so, the data aggregator may simulate the operation of more computationally-costly inference models and less computationally-costly inference models.

Abstract: Systems, methods and non-transitory computer readable media for controlling access in privacy firewalls are provided. A request to access a content of an element may be received, the content of the element may include a first portion and a second portion, the first portion may include identifiable information and the second portion may include no identifiable information. A permission record corresponding to the element may be accessed. In response to a first value in the permission record, access may be provided to the content of the element, including access to the first and second portions, and in response to a second value in the permission record, partial access may be provided to the content of the element, the partial access may include access to the second portion and may exclude access to the first portion.

Abstract: A radio-head apparatus can comprise memory to store dithering information of the apparatus. The radio-head can further include radio-head circuitry to generate a clock signal according to the dithering information and to provide a wakeup signal, subsequent to commencement of clock signal generation, to instruct a secondary RH to use the clock signal of the RH. The same wakeup signal is also used to synchronize the finite state machines of both RHs that govern and report the dithering information. Synchronization of the FSM allows estimation of information to be used in the secondary RH for compensation of the clock dithering applied in the primary RH. Other systems and apparatuses are described.