Abstract: Methods and systems for detecting systemwide service issues by using anomaly localization. In an example, a method includes receiving time-series monitoring data for multiple services, the time-series monitoring data including multiple dimensions and an error metric; for the monitoring data from each service, evaluating scopes within the monitoring data based on an objective function for a time-series of the error metric to identify at least one anomalous scope, each scope including at least one dimension and a value for the dimension; based on evaluating the scopes, generating a ranked list of scopes for each service based on objective function scores for the scopes; correlating the ranked lists of scopes across the multiple services to identify a cross-service anomaly; and generating an alert for the services based on the cross-service anomaly, the alert indicating at least one scope as a potential root cause for the cross-service anomaly.

Abstract: Systems, computer program products, and methods for interactive automated code generation and modification for data processing are provided. The method includes causing a rendering of a flow designer interface including a flow portion and a plugin portion. The plugin portion includes engageable plugin icon(s) corresponding to one or more plugins. The method also includes receiving a first plugin input based on engagement of a first plugin icon. The first plugin input is a selection of a first plugin. The method further includes causing a rendering of a representation of the first plugin on the flow portion. The method further includes receiving a second plugin input based on engagement of a second plugin icon. The method also includes causing a rendering of a representation of the second plugin on the flow portion. The method also includes generating a flow operation based on the flow portion of the flow designer interface.

Abstract: A machine learning model is trained from characteristics of code changes and characteristics of tests to generate an output indicative of a likely test result of running a corresponding test on a code change. One or more machine learning models may be trained for a specific code repository and based on developer feedback. When a code change is generated by a developer to code in a code repository, a machine learning model is selected based on the repository and characteristics or features of the code change are extracted and input to the machine learning model. The machine learning model generates a model output indicative of the likely test results of running each of a plurality of different tests on the code change. The model output indicates how likely it is that each of the plurality of different tests will fail. Based on the model output, a test selection system selects a subset of the plurality of different tests that should be run against the code changes.

Abstract: The present disclosure provides an approach that captures one or more wireless signals in a geographic area. Each one of the one or more wireless signals includes channel state information (CSI) data. The present disclosure produces a channel state information (CSI) representation based on the CSI data that indicates multiple channel responses corresponding to the one or more wireless signals. The present disclosure filters the CSI representation to remove at least one of the channel responses that correspond to a stationary object within the geographic area to produce a filtered CSI representation. The present disclosure predicts a presence of a moving object within the geographic area based on the filtered CSI representation.

Abstract: A machine learning model hosted on a cloud platform may be used to proactively predict if a maintenance procedure should be performed for a vehicle. In some examples, to support the prediction, the machine learning model may be connected to a different cloud platform that includes a customer relationship management (CRM) system and receives data from sensors of the vehicle. As such, the cloud platform with the CRM data may transmit the CRM data and the sensor data of the vehicle to the cloud platform hosting the machine learning model to aid in generating the maintenance procedure predictions. Further, the maintenance procedure predictions may also include the generation of a prediction score associated with a maintenance procedure. In some examples, the prediction score may satisfy a prediction score threshold, thus a notification may be transmitted to a computing device that indicates the maintenance procedure to be performed for the vehicle.

Abstract: Systems and methods are described for performing persistent inflight tracking of operations (Ops) within a cross-site storage solution. According to one embodiment, a method comprises maintaining state information regarding a data synchronous replication status for a first storage object of a primary storage cluster and a second storage object of a secondary storage cluster. The method includes performing persistent inflight tracking of I/O operations with a first Op log of the primary storage cluster and a second Op log of the secondary storage cluster, establishing and comparing Op ranges for the first and second Op logs, and determining a relation between the Op range of the first Op log and the Op range of the second Op log to prevent divergence of Ops in the first and second Op logs and to support parallel split of the Ops.

Abstract: Systems/techniques that facilitate interpretable task-specific dimensionality-reduction are provided. In various embodiments, a system can access a three-dimensional medical image. In various aspects, the system can generate, via execution of a first deep learning neural network, a voxel-wise weight map corresponding to the three-dimensional medical image and a set of projection vectors corresponding to the three-dimensional medical image. In various instances, the system can generate a set of two-dimensional projection images of the three-dimensional medical image, based on the voxel-wise weight map and the set of projection vectors. In various cases, the first deep learning neural network can be trained in a serial pipeline with a second deep learning neural network that is configured to perform an inferencing task on two-dimensional inputs. This can cause the set of two-dimensional projection images to be tailored to the inferencing task.

Abstract: Techniques are described that facilitate dynamic multimodal segmentation selection and fusion in medical imaging. In one example embodiment, a computer processing system receives a segmentation dataset comprising a combination of different image segmentations of an anatomical object of interest respectively segmented via different segmentation models from different medical images captured of the (same) anatomical object, wherein the different medical images and the different image segmentations vary with respect to at least one of, capture modality, acquisition protocol, or acquisition parameters. The system employs a dynamic ranking protocol as opposed to a static ranking protocol to determine ranking scores for the different image segmentations that control relative contributions of the different image segmentations in association with combining the different image segmentations into a fused segmentation for the anatomical object.

Abstract: The present disclosure provides for a hybrid DC-DC, Hybrid Variable Switched Capacitor (HVSC) power converter. The converter may include one or more power switching networks supporting a plurality of power conversion modes and characterised in that: an input terminal connected to an input power source and an associated input capacitance, an output terminal connected to a load and an associated output capacitance to obtain a desired output voltage or output load current regulation; and at least six switches, one or more inductors and one or more flying capacitors. The converter addresses the problems faced by inductor-based and inductor-less DC-DC power converters while providing higher power conversion efficiencies alike the inductor-less switched capacitor converters and voltage/current regulation alike the inductor-based power converters in a single power conversion unit and enable a duty cycle-based output voltage/current regulation.

Abstract: A microfluidic device and a method for sensing and sorting of cells or particles in a microfluidic channel are disclosed. The microfluidic device may include a substrate with a microfluidic channel having an inlet, the microfluidic channel being coupled with two or more output channels; one or more sensors located adjacent to a first region of the microfluidic channel for sensing respective particles flown through the microfluidic channel; and a first piezoelectric actuator located adjacent to a second region of the microfluidic channel downstream from the first region for deflecting the respective particles flowing through the microfluidic channel to respective output channels of the two or more output channels based on signals from the one or more sensors.

Abstract: Techniques are provided for replay of metadata and data operations. During initial execution of operations, identifiers of objects modified by the execution of each operation are identified and stored in association with the operations. When the operations are to be replayed (e.g., executed again, such as part of a replication operation or as part of flushing content from a cache to persistent storage), the identifiers are evaluated to determine which operations are independent with respect to one another and which operations are dependent with respect to one another. In this way, independent operations are executed in parallel and dependent operations are executed serially with respect to the operations from the dependent operations depend.

Abstract: Systems and methods are provided for proctoring online exams that collects reference samples of a student's speech and video of them looking at their computer screen. Audio and video of the student are then captured during the exam. That audio and video is segmented and compared to the reference samples in order to identify segments that potentially contain at least one of another speaker who is not the student, the student looking away from the computer screen, another face that is not the student's. The frequency and severity of flagged segments are used to indicate the overall level of suspicion to an exam proctor.

Abstract: A method of inferring user intent in search input in a conversational interaction system is disclosed. A method of inferring user intent in a search input includes providing a user preference signature that describes preferences of the user, receiving search input from the user intended by the user to identify at least one desired item, and determining that a portion of the search input contains an ambiguous identifier. The ambiguous identifier is intended by the user to identify, at least in part, a desired item. The method further includes inferring a meaning for the ambiguous identifier based on matching portions of the search input to the preferences of the user described by the user preference signature and selecting items from a set of content items based on comparing the search input and the inferred meaning of the ambiguous identifier with metadata associated with the content items.

Abstract: Systems, methods, and devices manage associations between wireless devices. Methods include identifying a plurality of wireless devices communicatively coupled to an access point and generating, using one or more processing elements, a plurality of groups of wireless devices based, at least in part, on a plurality of device classification parameters associated with the plurality of wireless devices. Methods further include generating, using the one or more processing elements, a plurality of containers for the plurality of groups of wireless devices based on network configuration information, and implementing, using the one or more processing elements, the plurality of containers in 10 the access point, wherein each of the plurality of groups of wireless devices has at least one associated container.

Abstract: Methods are provided for making a guide RNA (gRNA) suitable for use within a RNA-guided endonuclease complex, wherein the gRNA comprises a nucleic acid sequence that is configured to hybridise with a target nucleic acid sequence within the genome of a cell, and wherein the target nucleic acid sequence is characterised as being comprised within a locus that is active within a specific cell type. Also provided are RNA-guided endonuclease complexes and cell or tissue type selective or preferential gRNAs.

Abstract: A mobile device includes a display, a non-transitory computer readable medium configured to store instructions thereon, and a processor connected to the non-transitory computer readable medium and the display. The processor is configured to execute the instructions for receiving image data. The processor is further configured to execute the instructions for determining a phone number based on the imaging data. The processor is further configured to execute the instructions for, in response to the phone number being determined, automatically causing the display to: display the phone number, wherein the display is configured to receive instructions for contacting the displayed phone number.

Abstract: To provide a low latency near RT RIC, some embodiments separate the RIC's functions into several different components that operate on different machines (e.g., execute on VMs or Pods) operating on the same host computer or different host computers. Some embodiments also provide high speed interfaces between these machines. Some or all of these interfaces operate in non-blocking, lockless manner in order to ensure that critical near RT RIC operations (e.g., datapath processes) are not delayed due to multiple requests causing one or more components to stall. In addition, each of these RIC components also has an internal architecture that is designed to operate in a non-blocking manner so that no one process of a component can block the operation of another process of the component. All of these low latency features allow the near RT RIC to serve as a high speed IO between the E2 nodes and the xApps.

Abstract: The invention provides composite materials that form a biocompatible and bioresorbable settable ceramic-forming composition, and that possesses high strength when set and other desirable mechanical properties. The composite materials may include additive materials that provide beneficial advantages in the handling and physical properties of the material. When a hydrated precursor, the composite material is capable of being injected through cannulas for placement in treatment sites. The composite material provided desirable handling properties and sets in a clinically relevant time period.

Abstract: One example method includes, in a network attached storage platform, determining a size of a slice of data that is included in a share of the network attached storage platform, when the size of the slice exceeds a threshold, re-slicing the slice to generate multiple new slices, and each of the new slices has a size that is smaller than the threshold, and when all slices in the share have been evaluated in terms of their respective sizes, generating a slice list that includes the new slices.

Abstract: A system and method are provided that enables a processor to undergo a functional test of its circuits prior to attachment to a semiconductor package and prior to use in a computing platform. The method of testing chips includes attaching a non-packaged semiconductor circuit to a test bed, loading computer instructions into a memory of the non-packaged semiconductor circuit, and operating the non-packaged semiconductor circuit in a test boot mode and executing the computer instructions in that mode. The operation logs one or more events of the execution of the instructions in the test boot mode and transmits the logs of the one or more events from the non-packaged semiconductor circuit via a joint test action group (JTAG) interface or a universal asynchronous receiver/transmitter (UART) interface.