Abstract: Systems, methods, and data storage devices for data recovery from network storage systems are described. The data storage device may include a host data channel for data transfer with the host and a network data channel for data transfer with the network storage system over a network. Responsive to a read error when reading a data unit, the data storage device establishes a secure data transfer connection with the network storage system to request the failed data unit from the network storage system. The data unit retrieved from the network storage system may be used to respond to the original read request and restore the data unit in the data storage device.

Abstract: Some embodiments include an integrated assembly having a first deck. The first deck has first memory cell levels alternating with first insulative levels. A second deck is over the first deck. The second deck has second memory cell levels alternating with second insulative levels. A cell-material-pillar passes through the first and second decks. Memory cells are along the first and second memory cell levels and include regions of the cell-material-pillar. An intermediate level is between the first and second decks. The intermediate level includes a buffer region adjacent the cell-material-pillar. The buffer region includes a composition different from the first and second insulative materials, and different from the first and second conductive regions. Some embodiments include methods of forming integrated assemblies.

Abstract: A data storage device and method for host-initiated cached read to recover corrupted data within timeout constraints are provided. In one embodiment, a data storage device is provided comprising a volatile memory, a non-volatile memory, and a controller. The controller is configured to receive a read look-ahead command from a host to perform a read look-ahead of a first logical address; receive a read command from the host to read a second logical address; and execute the read look-ahead command by performing the following as background operations while executing the read command: read data for a location in the non-volatile memory that corresponds to the first logical address; correct an error in the data; and cache the corrected data in the volatile memory. The cached corrected data can be sent back to the host in response to the host requesting a read of the same logical address. Other embodiments are provided.

Abstract: A system for configuring an Electric Vehicle (EV) charging infrastructure, the apparatus comprising. The system receives user direction and inputs regarding a custom EV charging infrastructure, submits the data an optimal planning module which is configured for performing optimization based on objectives in view of a set of constraints; and generates a recommendation from the optimal planning module for a custom EV charging infrastructure based on charging needs and behavior of the consumers toward deferring upgrades in electric infrastructure without compromising energy required for electrical transportation.

Abstract: The present disclosure relates to methods and systems for identifying an individual in a crowd. The method comprises the steps of capturing a plurality of crowd-viewing images using multiple image-capturing devices. For each image, a reference point within a facial contour of a person in the image is selected. The reference point is selected based on a facial feature on the facial contour of the person. The method further comprises the step of processing the image to obtain one or more angular measurements associated with a posture displayed by the person in the image. Based on the obtained angular measurements, location data of a predetermined body point of the person relative to the reference point is extracted.

Abstract: Automated recovery of execution roles in a distributed historian system in accordance with actions and rules customized to each execution role. A monitoring service monitors the health status of execution roles and automatically performs a corrective action in response to the health state of an execution role triggering a predetermined rule.

Abstract: Techniques for entity and relationship detect from unstructured text as a service are described. A service may receive a request to identify entities within a provided unstructured text element, and the service may segment and tokenize the unstructured text and send the result to multiple services implementing multiple deep machine learning models trained to identify particular entities. The service may send additional requests to an additional service or services implementing additional deep machine learning models to identify relationships between detected attributes and ones of the detected entities. The outputs from all services can be analyzed and consolidated into a single result that identifies the entities, any attributes of the entities, and confidence scores indicating the confidence in each detected entity.

Abstract: In this work, we investigated the blood platelet adhesion and activation of truly superhemophobic surfaces and compared them with that of hemophobic surfaces and hemophilic surfaces. Our analysis indicates that only those superhemophobic surfaces with a robust Cassie-Baxter state display significantly lower platelet adhesion and activation. The understanding gained through this work will lead to the fabrication of improved hemocompatible, superhemophobic medical implants.

Abstract: An electronic lock can enter a lockdown mode in response to a lockdown command comprising a mechanical command, e.g. a button or door handle being pressed on the lock in a predefined time-series sequence, or touching the lock in a time-series sequence). Alternatively, an audio or visual command can be issued, e.g. saying certain words or making a hand gesture. The lock may require additional authentication before executing the lockdown command, e.g. recognizing an authorized electronic key. Other embodiments are also provided.

Abstract: A distributed computing system for artificial intelligence in autonomously appreciating a circumstance context of a smart device. Raw context data is detected by sensors associated with the smart device. The raw context data is pre-processed by the smart device and then provided to a cloud based server for further processing. At the cloud based server, various sets of feature data are obtained from the pre-processed context data. The various sets of feature data are compared with corresponding classification parameters to determine a classification of a continuous event and/or a classification of transient event, if any, which occur in the context. The determined classification of the continuous event and the transient event will be used to autonomously configure the smart device or another related smart device to fit the context.

Abstract: Systems and methods are described for efficiently performing various operations at the granularity of a consistency group (CG) within a cross-site storage solution. An example of one of the various operations includes an independent and parallel resynchronization approach that independently brings individual volumes of a CG to a steady state of in-synchronization (InSync), thereby contributing to scalability of CGs by supporting CGs having a large number of member volumes without requiring a change to the resynchronization process. Another example includes preserving dependent write-order consistency when a remote mirror copy goes out-of-synchronization (OOS) for any reason by driving all member volumes OOS responsive to any member volume becoming OOS. Yet another example includes independent creation of snapshots by member volumes to support efficient and on-demand creation by an application of a common snapshots of all or a subset of peered member volumes of a CG with which the application is associated.

Abstract: Exemplary substrate processing systems may include a chamber body defining a transfer region. The systems may include a first lid plate seated on the chamber body. The first lid plate may define a plurality of apertures through the first lid plate. The systems may include a plurality of lid stacks equal to a number of the plurality of apertures. The systems may define a plurality of isolators. An isolator may be positioned between each lid stack and a corresponding aperture of the plurality of apertures. The systems may include a plurality of annular spacers. An annular spacer of the plurality of annular spacers may be positioned between each isolator and a corresponding lid stack of the plurality of lids stacks. The systems may include a plurality of manifolds. A manifold may be seated within an interior of each annular spacer of the plurality of annular spacers.

Abstract: An electronic device comprising a lower deck and an upper deck adjacent to a source. Each of the lower deck and the upper deck comprise tiers of alternating conductive materials and dielectric materials. Each of the lower deck and the upper deck also comprise an array region and one or more non-array regions. Memory pillars are in the lower deck and the upper deck of the array region and the memory pillars are configured to be operably coupled to the source. Dummy pillars are in the upper deck of the one or more non-array regions and the dummy pillars are configured to be electrically isolated from the source. Another conductive material is in the upper deck and the lower deck of the one or more non-array regions. Additional electronic devices and related systems and methods of forming an electronic device are also disclosed.

Abstract: Devices and techniques are generally described for using user feedback to determine routing decisions in a speech processing system. In various examples, first data representing a first utterance may be received. Second data representing a first semantic interpretation of the first utterance may be determined. A first intent data processing application may be selected for processing the second data. Feedback data may be determined related to the first intent data processing application processing the second data. Third data representing a semantic interpretation of a second utterance may be received, wherein the first semantic interpretation is the same as the second semantic interpretation. A second intent data processing application may be determined for processing the third data based at least in part on the feedback data.

Abstract: The present technology addresses deficiencies associated with common practices for handling out of order data in a streaming data database. An aspect of the present technology is avoid storing out of order data in a snapshot but just store the out of order data as additional data linked to the temporal graph. The present technology receives out of order data and records a modification time for the data and a next modification time for the data that equals a timestamp of data previously stored in the database. If there is also data in the database for a time earlier than the timestamp of the out of order data, the earlier data is adjusted so that its next modification time matches the timestamp of the out of order data.

Abstract: An imaging system and method for operating the system to display images generated by the imaging system is capable of presenting the images on the display of a remote device along with various markers and/or indications in the displayed or viewable portion of the image that provide information on the location(s) of and direction(s) to any cropped portions or areas of the image not shown in the displayed portion, as well as any ROIs in the image displayed, but disposed in cropped areas of the image. The indications provide the user with information regarding the presence and location of these items, as well as other relevant information, such that the user can operate the remote device, such as by manipulating the display screen in a known manner, to move the areas of the image containing the selected item onto the display screen or area of the remote device.

Abstract: An imaging system and method for operating the system provides summary information about frames within video or cine loop files obtained and stored by the imaging system. During an initial review and analysis of the images constituting the individual frames of the cine loop or video, the frames are classified into various categories based on the information identified in the individual frames, and this information is stored with the video file. When the video file is accessed by a user, this category information is displayed in association with the video file to improve and facilitate navigation to desired frames within the video file. The imaging system also utilizes the category information and a representative image from the video file as an identifier for the stored video file to enable the user to more readily locate and navigate directly to the desired video file.

Abstract: A polymer composite thin film exhibiting piezoelectric properties may include a polymer matrix with base material of Polyoxymethylene (POM) and a piezoelectric additive of greater than approximately five (5) percent by weight of the polymer composite thin film. The piezoelectric additives may include BaTiO3 and KNN. The polymer composite thin film exhibits piezoelectric characteristics and may be used in electronic devices in piezoelectric actuators and piezoelectric sensors.

Abstract: This disclosure relates generally to a method and system for biometric verification. Conventional biometric verification method and system performs one or more computations in non-encrypted domain, thereby leading to security threats. The disclosed method includes performing computations such as enrollment and verification feature vector computation, dimensionality reduction of said feature vectors, and comparison of dimensionally reduced encrypted feature vectors to obtain matching scores indicating the extent of match therebetween between in encrypted domain using fully homomorphic encryption, thereby leading to secure biometric verification.

Abstract: Multi-object tracking in autonomous vehicles uses both camera data and LiDAR data for training, but not LiDAR data at query time. Thus, no LiDAR sensor is on a piloted autonomous vehicle. Example systems and methods rely on camera 2D object detections alone, rather than 3D annotations. Example systems/methods utilize a single network that is given a camera image as input and can learn both object detection and dense depth in a multimodal regression setting, where the ground truth LiDAR data is used only at training time to compute depth regression loss. The network uses the camera image alone as input at test time (i.e., when deployed for piloting an autonomous vehicle) and can predict both object detections and dense depth of the scene. LiDAR is only used for data acquisition and is not required for drawing 3D annotations or for piloting the vehicle.