Abstract: A handheld surgical instrument includes a motor that transmits rotational movement to a drill bit of the handheld surgical instrument. The drill bit extends through a depth measurement module with a depth measurement extension, and a cannula, which extends forward from the drill to measure bore depth. The depth measurement extension is moveably mounted to the drill so as to extend into the rotor bore of the motor. As the drill advances forward, the depth measurement extension remains static. As a result of the advancement of the drill, the rotor extends over the proximal end of the depth measurement extension. A controller is configured to determine a breakthrough time and a breakthrough displacement of the drill bit based on displacement data and derived signals. The controller is further configured to determine a proper length of a screw to be used in a fixation surgical procedure based on the displacement data.

Abstract: A digital-to-analog converter system has digital-to-analog converters, a common output, and a digital controller for transmitting first codes to one of the converters at a radio-frequency digital rate, and for transmitting second codes to another one of the converters at the same rate. The digital controller includes a timing system for operating each converter at the digital rate in a return-to-zero configuration, such that a signal from the first converter is transmitted to the common output while the second converter is reset, and vice versa. The digital-to-analog converter system can generate a radio-frequency analog signal having signals in first and second Nyquist zones simultaneously.

Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for utilizing focused aggregation of classification model outputs to classify variable length documents. For instance, the disclosed systems can utilize a classification model to determine category scores for segments from an electronic document. Furthermore, the disclosed systems can identify positive trigger segments from the segments by comparing the category scores to a threshold category score. Moreover, the disclosed systems can determine a positive trigger ratio for the target category based on the positive trigger segments and the segments. Additionally, the disclosed systems can generate an aggregated category score for the electronic document from the positive trigger segments (when the positive trigger ratio satisfies a threshold positive trigger ratio) and distribute the electronic documents to client devices based on the aggregated category score.

Abstract: Techniques for active learning-based data labeling are described. An active learning-based data labeling service enables a user to build and manage large, high accuracy datasets for use in various machine learning systems. Machine learning may be used to automate annotation and management of the datasets, increasing efficiency of labeling tasks and reducing the time required to perform labeling. Embodiments utilize active learning techniques to reduce the amount of a dataset that requires manual labeling. As subsets of the dataset are labeled, this label data is used to train a model which can then identify additional objects in the dataset without manual intervention. The process may continue iteratively until the model converges. This enables a dataset to be labeled without requiring each item in the data set to be individually and manually labeled by human labelers.

Abstract: A low noise amplifier for an RF sampling analog front end. The amplifier includes digital step attenuation for applying a selected attenuation to signals received at an input node, and a gain stage coupled to amplify the attenuated signal from the digital step attenuation circuit. In a differential amplifier implementation, a first input capacitor is coupled between a positive side input node and an output of the negative side digital attenuation circuit, and a second input capacitor is coupled between a negative side input node and an output of the positive side digital step attenuation circuit. In some embodiments, variable feedback circuits are coupled between each input node and an output of the corresponding gain stage, to selectively apply active termination at the input at high gain settings of the amplifier. Variable input and output resistors, and programmable noise filtering at the output, are provided in some embodiments.

Abstract: Analog gain correction circuitry and analog switching clock edge timing correction circuitry can provide coarse correction of interleaving errors in radio-frequency digital-to-analog converters (RF DACs), such as may be used in 5G wireless base stations. The analog correction can be supplemented by digital circuitry configured to “pre-cancel” an interleaving image by adding to a digital DAC input signal a signal equal and opposite to an interleaving image created by the interleaving DAC, such that the interleaving image is effectively mitigated. Error correction control parameters can be periodically adjusted for changes in temperature by a controller coupled to an on-chip temperature sensor. A model useful for understanding the sources of error in interleaving DACs is also described.

Abstract: The present disclosure provides a composition containing a polymeric blend. The polymeric blend contains (A) from 50 wt % to 90 wt % of a first ethylene-based polymer having a density from 0.895 g/cc to 0.905 g/cc; and a melt index from 0.1 g/10 min to 50 g/10 min; (B) from 8 wt % to 48 wt % of a second ethylene-based polymer having a density from 0.935 g/cc to 0.967 g/cc; and a melt index from 0.1 g/10 min to 180 g/10 min; and from 0.01 wt % to 2.0 wt % of a slip agent, based on the total weight of the polymeric blend. The polymeric blend has (i) an overall density from 0.900 g/cc to 0.925 g/cc; and (ii) a coefficient of friction (COF) after aging for 1 week at 60° C. from 0.001 to 0.400. The present disclosure also provides a multilayer film with a first layer containing the composition.

Abstract: Techniques for partitioning data flow operations between execution on a compute instance and an attached accelerator instance are described. A set of operations supported by the accelerator is obtained. A set of operations associated with the data flow is obtained. An operation in the set of operations associated with the data flow is identified based on the set of operations supported by the accelerator. The accelerator executes the first operation.

Abstract: Queries may be received and executed by a managed query service. A query directed to data sets that are separately stored in a remote data store may be received. Computing resources to execute the query may be provisioned from a pool of computing resources that are configured to execute queries. The query may be routed to the provisioned computing resources to execute the query. Results may be obtained from the computing resource and provided to a submitter of the query.

Abstract: Query execution status may be tracked to selectively route queries to resources for execution. The completion of queries executing at computing resources obtained from a pool of computing resources configured to execute queries may be detected. Instead of returning the computing resources to the pool, the computing resources may be identified as available in resource management data. When another query is received, the resource management data may be evaluated to select an available computing resource. The query may then be routed to the selected computing resource for execution.

Abstract: Techniques for active learning-based data labeling are described. An active learning-based data labeling service enables a user to build and manage large, high accuracy datasets for use in various machine learning systems. Machine learning may be used to automate annotation and management of the datasets, increasing efficiency of labeling tasks and reducing the time required to perform labeling. Embodiments utilize active learning techniques to reduce the amount of a dataset that requires manual labeling. As subsets of the dataset are labeled, this label data is used to train a model which can then identify additional objects in the dataset without manual intervention. The label data can be added to an augmented manifest, the augmented manifest can be used to filter the dataset to perform further labeling jobs on the same or different subsets of the dataset.

Abstract: Systems and methods are provided herein for transitioning a supplicant from one virtual local area network (VLAN) to another using a change of authorization (COA) message. This may be accomplished by an authentication server notifying a network device that a host should be granted access to the network, wherein the authentication server authenticates the host using MAC based authentication. Based on this notification and the MAC address of the host, the network device assigns the host to a first VLAN. If the authentication server determines that the host needs to change from the first VLAN to a second VLAN the authentication server generates a COA message, associated with the host, wherein the COA message comprises a VLAN identifier related to the second VLAN. The authentication server transmits the COA message to the network device causing the network device to route traffic to and from the host using the second VLAN.

Abstract: A surgical handpiece system for use with a drill bit having an identification feature that includes magnetic material. A handpiece transfers torque to the drill bit to rotate the drill bit. A measurement module that includes a housing is coupled to the handpiece. A measurement cannula made of a non-magnetic material surrounds the drill bit during operation. The measurement cannula extends forward or rearward relative to the housing and has a distal end adapted for placement against a workpiece. A transducer assembly generates a transducer signal based on a position of the measurement cannula relative to the housing. A sensor generates an identification signal responsive to a magnetic field or magnetoresistance of the identification feature of the drill bit through the measurement cannula during operation. A controller receives the identification signal and identifies the coupled drill bit corresponding to the received identification signal.

Abstract: A method for integrating data from assets of a technical installation into a platform, wherein general models are initially defined for the assets of domain-specific technical installations, where data from the identified general data sources are then assigned to previously defined general models, an asset is then selected for a specific installation and the corresponding general model is imported into the platform, the data sources of the specific installation are configured such that a general model can be iteratively filled at runtime with the specific data relating to this installation for the selected asset based on data sources of specific installations, entities for the selected asset are formed by filling the general model with the specific data and stored in the platform, and where the asset entities are configurable in the platform, such that applications can access asset entities and the data thereof without any problems via programming interfaces.

Abstract: The configuration of computing resources for executing queries may be selected. A comparison of the configuration of computing resources that executed previous queries may be made to select the configuration of computing resources for a received query. A historical query execution model maybe applied, in some embodiments, to determine a resource configuration for computing resources to execute a query. The computing resources may be selected from available computing resources according to the determined resource configuration.

Abstract: A spur correction system for a transmit chain having an interleaving multiplexer. In some embodiments, the spur correction system includes a spur sense chain, a correction controller, and a Q path corrector. The interleaving multiplexer combines signals from multiple bands in response to a clock signal. The spur sense chain estimates an error that is in phase with the clock signal (an I-phase error) and an error that is a derivative of the clock signal (a Q-phase error). The correction controller compensates for the estimated I-phase error by injecting an I-phase correction signal into the transmit chain. The Q path corrector compensates for the estimated Q-phase error by selectively connecting one or more capacitors within the interleaving multiplexer.

Abstract: A system that transforms electronic messages into annotated messages that include contextual information to aid a recipient in utilizing the electronic message, understanding its meaning, and responding to the message. Annotations are additions or modifications to the original message with contextual information that is related to the features and contents of the original message. Message features are extracted and used to search one or more sources of contextual information. Relevant items are retrieved and added to the message, for example as attachments, hyperlinks, or inline notes. Machine learning techniques may be used to generate or refine modules for feature extraction and information selection. Feedback components may be used to track the usage and value of annotations, in order to iteratively improve the annotation system.

Abstract: A method and system for allocation of feature-maps in a system cache in a DRAM includes receiving input feature maps associated with data at the system cache, and then creating clusters of spatially co-located features maps and calculating a priority of each of the clusters based on one or more cluster parameters. The method further includes placing the clusters based on the execution order and the calculated priorities of each of the clusters to obtain a prioritized plurality of the clusters. Thereafter, a first address is assigned to each of the prioritized clusters and then an overlap is determined of assignment of addresses to each of consecutive clusters of the prioritized clusters based on a conflict of life parameter. The method further includes reassigning a second address to each of the prioritized clusters based on a determination result and the calculated priorities of each of the clusters.

Abstract: A method for maintaining peak intensity frames is provided. The method includes receiving a plurality of frames, each of which has an associated frame intensity, from a camera sensor; selecting a preview frame and a previous preview frame from among the plurality of frames; performing a coarse phase detection based on a frame intensity of the previous preview frame and the preview frame to identify a trend of frame intensity; monitoring a plurality of transitional preview frames after the preview frame; detecting at least one transitional frame having a frame intensity less than a previous transitional frame; and selecting a next transitional frame as a succeeding preview frame after the preview frame based on a frame intensity of the at least one transitional frame.