Abstract: A method that includes receiving an input at an interactive conversation service that uses an intent classification model. The method may further include generating, using an encoder model of the intent classification model, a set of output vectors corresponding to the input, where the encoder model is configured to determine a set of metrics corresponding to intent classifications. The method may further include determining, using an outlier detection model of the intent classification model, whether the input is in-domain or out-of-domain (OOD) based on a first vector of the set of output vectors satisfying a domain threshold relative to one or more of the intent classifications. The method may further include outputting, by the intent classification model, a second vector of the set of output vectors that indicates the set of metrics corresponding to the intent classifications or an indication that the input is OOD.

Abstract: Various embodiments include a camera voice coil motor (VCM) actuator configured to shift an image sensor along multiple axes. Some embodiments include a magnet and coil arrangement. Some embodiments include a position sensing arrangement. Some embodiments include a flexure arrangement. Some embodiments include a coil structure and coil carrier assembly.

Abstract: Methods, systems, and devices for imprint recovery management for memory systems are described. In some cases, memory cells may become imprinted, which may refer to conditions where a cell becomes predisposed toward storing one logic state over another, resistant to being written to a different logic state, or both. Imprinted memory cells may be recovered using a recovery or repair process that may be initiated according to various conditions, detections, or inferences. In some examples, a system may be configured to perform imprint recovery operations that are scaled or selected according to a characterized severity of imprint, an operational mode, environmental conditions, and other factors. Imprint management techniques may increase the robustness, accuracy, or efficiency with which a memory system, or components thereof, can operate in the presence of conditions associated with memory cell imprinting.

Abstract: Prioritization in cloud migration for deduplication systems is described. A system creates a set of priorities corresponding to backup files in a set of backup files, wherein each priority is based on estimating a time required for a corresponding backup file to migrate from a local storage system to a cloud storage system, and/or an amount of data deduplicated when the corresponding backup file is stored. The system copies a backup file, which corresponds to the highest priority in the set of priorities, from the set of backup files stored in the local storage system to a cloud storage system. Completing the copying of the set of backup files to the cloud storage system, the system copies a backup file, which corresponds to the lowest priority in the set of priorities, from the set of backup files stored in the local storage system to a cloud storage system.

Abstract: There is disclosed a system and method of providing services on a home gateway, including providing a set of security scans for traffic to and from a plurality of devices on a home network; cryptographically verifying that a secured device from the plurality of devices provides for itself internal security services; and based on the cryptographic verification, skipping at least one security scan of the set of security scans for traffic of the secured device.

Abstract: Training the ANN can include providing an initial ANN model to a plurality of groups of edge devices and providing an input to a group of edge devices from the plurality of groups of edge devices. Training the ANN can also include, responsive to providing the input, receiving activation signals from a first portion of the plurality of groups. Training the ANN can include providing the activation signals to a second portion of the plurality of groups and provide commands to the plurality of groups of edge devices to train the initial ANN model to generate a trained ANN model based on training feedback generated using different activation signals received from the second portion of the plurality of groups. Training the ANN can also include receiving the trained ANN model from the plurality of groups of edge devices.

Abstract: There is disclosed in one example an enrollment over secure transport (EST)-capable gateway device, including: a hardware platform including a processor and a memory; a first network interface to communicatively couple to an external network, including an external DNS server; a second network interface to communicatively couple to a home network; a caching DNS server including a local DNS cache, and logic to provide DNS services to the home network; and an EST proxy to authenticate to a local endpoint on the home network, provision a DNS server certificate on the local endpoint, provision an authentication domain name (ADN) on the local endpoint, and provide encrypted domain name system (DNS) services to the local endpoint.

Abstract: In some cases, grasp point algorithms can be implemented so as to compute grasp points on an object that enable a stable grasp. It is recognized herein, however, that in practice a robot in motion can drop the object or otherwise have grasp issues when the object is grasped at the computed stable grasp points. Path constraints that can differ based on a given object are generated while generating the trajectory for a robot, so as to ensure that a grasp remains stable throughout the motion of the robot.

Abstract: A system for failure detection tools is disclosed. The system may include at least one user device, an application server, and a failure detection system, each of which may be in communication with one or more of the others via at least one network. The failure detection system may receive first data from a data source, process the first data to generate second data, apply a statistical modeling algorithm to make a prediction relating to the first data or the second data, and communicate data relating to the prediction and/or a trend related to the first data or the second data to the user device for displaying at least a portion of the data relating to the prediction and/or the trend on a display of the user device.

Abstract: A covariate shift generally refers to the change of the distribution of the input data (e.g., noise distribution) between the training and inference regimes. Such covariate shifts can degrade the performance grasping neural networks, and thus robotic grasping operations. As described herein, an output of a grasp neural network can be transformed, so as to determine appropriate locations on a given object for a robot or autonomous machine to grasp.

Abstract: A method of forming an electrical contact in semiconductor structure includes performing a selective deposition process on a semiconductor structure having a semiconductor region and a dielectric layer having a trench therewithin, the selective deposition process comprising epitaxially forming a contact layer on the semiconductor region within the trench of the dielectric layer, and performing a microwave anneal process to activate dopants in the epitaxially formed contact layer.

Abstract: Disclosed herein is a humeral head and cup trials, a system for humeral trialing, and a method for removing a humeral head and cup trial from a humeral stem. The humeral trial may include a first portion, a second portion, and a post extending from the second portion. The first portion may define an articular surface. The post may define a first length in a first configuration and a second length in a second configuration. The first length may be greater than the second length. The post may change from the first configuration to the second configuration by moving the first portion with respect to the second portion.

Abstract: A system may include a memory and a processor in communication with the memory. The processor may be configured to perform operations. The operations may include extracting a first multiple dimensional dataset and a second multiple dimensional dataset and encoding the first multiple dimensional dataset into a first encoded dataset and the second multiple dimensional dataset into a second encoded dataset. The operations may include combining the first encoded dataset and the second encoded dataset into a combined encoded dataset and conveying the combined encoded dataset to a user.

Abstract: Use of watermarking in a media stream as a trigger for carrying out a fingerprint-related action, such as starting to generate fingerprints of the media stream, increasing a rate of generation of fingerprints of the media stream, starting to report fingerprints of the media stream, requesting fingerprints, or engaging in a fingerprint comparison. In an implementation, a media client that is processing the media stream could detect the watermark in the media stream and could responsively carry out or cause to be carried out a fingerprint-related action. Or an entity in a media-distribution path along which the media stream flows to a media client could detect the watermark in the media stream and could responsively carry out or cause to be carried out a fingerprint-related action. Further, the watermark could be inserted into the media stream in the first place based on transport-stream carried metadata, among other possibilities.

Abstract: In one aspect, an example method includes (i) causing a content-presentation device to output for presentation reference visual content; (ii) causing a lighting device to emit light in accordance with a lighting parameter, wherein initially the light emitted in accordance with the lighting parameter does not correspond to the reference visual content; (iii) receiving first input indicating an adjustment to the lighting parameter; (iv) responsive to receiving the first input, causing the lighting device to adjust the lighting parameter, thereby causing the lighting device to adjust the emitted light; (v) receiving second input indicating that the adjusted emitted light corresponds to the reference visual content; and (vi) responsive to receiving the second input, calibrating the lighting device at least by (i) causing storage of the adjusted lighting parameter and (ii) causing the lighting device to be configured to emit light in accordance with the stored lighting parameter.

Abstract: The present disclosure relates to contaminant detection systems and related optical systems and methods. An example contaminant detection system includes an optical coupler configured to couple light into and/or out of an optical element. The contaminant detection system also includes a plurality of light-emitter devices configured to emit emission light toward the optical coupler. The contaminant detection system additionally includes a plurality of detector devices configured to detect at least a portion of the emission light by way of the optical element and the optical coupler. The plurality of detector devices is also configured to provide detector signals indicative of a presence of a contaminant on the optical element.

Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to implement contextual key management for data encryption are disclosed. Example apparatus disclosed herein are to identify a combination of context rules mapped to a key associated with encrypted data, the combination of context rules including at least two context rules. Disclosed example apparatus are also to discover first context information and second context information associated with the combination of context rules, the first context information obtained from a request to access the encrypted data, the second context information separate from the request. Disclosed example apparatus are further to evaluate the combination of context rules based on the first context information and the second context information to validate the request.

Abstract: A method, computer program, and computer system are provided for collecting and annotating data based on user preference. Unlabeled data corresponding to one or more entries within a dataset is received. Pseudo-labeled data is generated based on the unlabeled data. Based on one or more quality metrics, each entry from among the pseudo-labeled data is determining to be included within a final dataset. A user is prompted for annotations corresponding to entries of the pseudo-labeled data included within the final dataset. A determination is made as to whether additional data is needed based on comparing the final dataset to the one or more quality metrics, and the additional information is collected if the final dataset does not meet the quality metrics.

Abstract: A method for the efficient management of a fleet of electric vehicles in a target area couples vehicle dynamics and battery dynamics modeling with environmental factors to accurately incorporate the impact that the environment has on the range of the battery into the placement of the chargers by simulating trips of fleets of electric vehicles. The vehicles can be of various types, for example, motorcycles, cars, trucks or aircraft, and will each have their battery state of charge monitored as they traverse a simulated trip through the target area.

Abstract: Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, and/or the like that are configured to accurately and concisely generate one or more action item logs of one or more document data objects. For example, certain embodiments of the present invention provide methods, apparatuses, systems, computing devices, and/or the like that are configured to generate an action item log of a document data object comprising one or more semantically complete or incomplete units of text data, by generating content segmentation units, determining action item presence predictions, generating action item sets from each content segmentation unit within a candidate action item subset, aggregating the action item sets to create an action item log, and storing the action item log.