Abstract: A vertical cavity surface emitting laser (VCSEL) chip includes a structured light (SL) VCSEL array, and a fill VCSEL array. The SL VCSEL array includes a plurality of first VCSELs on a substrate. The fill VCSEL array includes a plurality of second VCSELs on the substrate. The fill VCSEL array is positioned orthogonal to the SL VCSEL array on the substrate. Light emitted from the SL VCSEL array may be used to form a bar pattern, and light from the SL VCSEL array and the fill VCSEL array together may be used to form flood illumination.

Abstract: An unlock method and system for an air-conditioning unit. The unlock system includes: a display apparatus; an input apparatus; and a control apparatus in communication with the display apparatus and the unlock system is configured to perform the following operations: generating a dynamic graphic according to at least an identification code and an update code; generating an unlock password according to at least a certificate, the identification code and the update code; receiving an unlock password through the input apparatus; comparing the unlock password received from the input apparatus with the generated unlock password; and granting a corresponding permission if the acquired unlock password is consistent with the generated unlock password.

Abstract: In some aspects, a method for object re-identification may include obtaining a first set of images from a first camera, and a second set of images from at least one second camera; determining a first set of features based on the first set of images, the first set of features lying in a first feature space; and determining a second set of features based on the second set of images, the second set of features lying in a second feature space. The method may additionally include determining a first feature projection matrix and a second feature projection matrix that respectively map the first set of features and the second set of features to a shared feature space; and determining a common dictionary based on the shared feature space.

Abstract: A machine learning (ML) model is described herein that predicts computational resource requirements (e.g., a memory and/or runtime metric) for evaluating an integrated circuit (IC) design (e.g., static verification) based on design features extracted from the IC design and auxiliary features related to the IC design. The model may be used to predict the metric for sub-blocks of the IC design. A platform selector may select one of multiple platforms on which to evaluate the IC design or sub-blocks of the IC design based on the predicted metric(s) and specifications of the platforms. The model may be trained to correlate a combination of design features extracted from training IC designs and auxiliary features related to the training IC designs, with metrics of computational resources used in evaluation of the training IC designs, such as with a multiple-linear-regression-based supervised learning technique.

Abstract: A wireless charging device includes a driver unit configured to generate one of a first AC voltage signal having a first frequency and a second AC voltage signal having a second frequency. Also, the wireless charging device includes a transmitting unit having a first coil and a first capacitor and configured to transmit the first AC voltage signal. Further, the transmitting unit includes a second coil and a second capacitor and configured to transmit the second AC voltage signal. Additionally, the wireless charging device includes a control unit configured to detect a first receiver device operating at the first frequency based on a change in a first voltage in the transmitting unit, and detect a second receiver device operating at the second frequency based on a change in a second voltage in the transmitting unit.

Abstract: A system and a method for performing programmable analytics on network data are described. A data layer constructs flow behavior information based on information present within headers of data packets flowing across one or more network devices configured in a computer network. An inline heuristics layer performs one or more inline heuristic operations on the flow behavior information to obtain aggregate statistical information. An integrated analytics layer performs one or more analytical operations on the flow behavior information to obtain network insights. A presentation layer filters and plots information obtained from the data layer, the inline heuristics layer, and the integrated analytics layer, based on a user input.

Abstract: The present disclosure is directed to a mechanism for optimized application performance in SD-WAN, and includes the steps of receiving initial traffic packets at a first site for transmission to a second site; determining whether a direct tunnel is established between the first site and the second site based on a state of the second site, the state comprising an active state indicating that a direct tunnel is established between the first and second sites or an inactive state indicating that the direct tunnel is not established between the first and second sites; and in response to determining that the direct tunnel is not established, determining that the initial packets satisfy a configured trigger; forwarding the initial packets to the second site via a backup path; establishing the direct tunnel between the first and second sites; and forwarding subsequent traffic packets to the second site via the established direct tunnel.

Abstract: A method may include generating views materializing tensors generated by a convolutional neural network operating on an image. Determining the outputs of the convolutional neural network operating on the image with a patch occluding various portions of the image. The outputs being determined by generating queries on the views that performs, based at least on the changes associated with occluding different portions of the image, partial re-computations of the views. A heatmap may be generated based on the outputs of the convolutional neural network. The heatmap may indicate the quantities to which the different portions of the image contribute to the output of the convolutional neural network operating on the image. Related systems and articles of manufacture, including computer program products, are also provided.

Abstract: A system for efficiently parsing semi-structured deep packet inspection traffic data tied to a telecommunications entity. The system is capable of parsing such records at million-records-per-second scale through use of a numerical data model, leverage on proven fundamental algebraic techniques, and shortcuts to label streaming traffic on the fly. In some embodiments, the system may perform parallel accumulation of data traffic into business grade counters using elementary techniques and subsequently identify subscribers exhibiting specific data patterns in real time for contextual targeting of promotional offers. A method of efficiently parsing the traffic data via the system of the disclosure.

Abstract: A system for training a machine learning framework to estimate depths of objects captured in 2-D images includes a first trained machine learning network and a second untrained or minimally trained machine learning framework. The first trained machine learning network is configured to analyze 2-D images of target spaces including target objects and to provide output indicative of 3-D positions of the target objects in the target spaces. The second machine learning network can be configured to provide an output responsive to receiving a 2-D input image. A comparator receives the outputs from the first and second machine learning networks based on a particular 2-D image. The comparator compares the output of the first trained machine learning network with the output of the second machine learning network. A feedback mechanism is operative to alter the second machine learning network based at least in part on the output of the comparator.

Abstract: An exhaust aftertreatment system includes a catalyst, an exhaust conduit system, a first sensor, a second sensor, a reductant pump, a dosing module, and a reductant delivery system controller. The exhaust conduit system is coupled to the catalyst. The first sensor is coupled to the exhaust conduit system upstream of the catalyst and configured to obtain a current first measurement upstream of the catalyst. The second sensor is coupled to the exhaust conduit system downstream of the catalyst and configured to obtain a current second measurement downstream of the catalyst. The reductant pump is configured to draw reductant from a reductant source. The dosing module is fluidly coupled to the reductant pump and configured to selectively provide the reductant from the reductant pump into the exhaust conduit system upstream of the catalyst. The reductant delivery system controller is communicable with the first sensor, the second sensor, the reductant pump, and the dosing module.

Abstract: A system for classifying to apply for a microloan by a user is provided. The system includes user device associated with a user, and loan applying user classification system. The loan applying user classification system 106 collects raw data from at least one of (i) one or more programs on the user device directly; (ii) the one or more programs indirectly through the network or (iii) both. The raw data includes mobile brand, screen height, demographic details, mcc, session timestamp, sessionid, session duration, etc. The loan applying user classification system is configured to (i) pre-process the raw data to obtain pre-processed data; (ii) identify representative set of features (i.e. training dataset) from the pre-processed data; (iii) balance an imbalanced training dataset to obtain balanced dataset; and (iv) generate a classification model using balanced dataset to classify in applying for micro-loan by the user.

Abstract: Scheduling work of a machine learning application includes instantiating kernel objects by a computer processor in response to input of kernel definitions. Each kernel object is of a kernel type indicating a compute circuit. The computer processor generates a graph in a memory. Each node represents a task and specifies an assignment of the task to one or more of the kernel objects, and each edge represents a data dependency. Task queues are created in the memory and assigned to queue tasks represented by the nodes. Kernel objects are assigned to the task queues, and the tasks are enqueued by threads executing the kernel objects, based on assignments of the kernel objects to the task queues and assignments of the tasks to the kernel objects. Tasks are dequeued by the threads, and the compute circuits are activated to initiate processing of the dequeued tasks.

Abstract: Systems, methods, and computer products are described herein for identifying data inconsistencies within database tables associated with an application. A master data inconsistency evaluator receives data including at least one selection parameter within at least one database table. By the master data inconsistency evaluator evaluates the at least one selection parameter by comparing the at least one selection parameter with other database tables associated with the application to identify data inconsistencies. The master data inconsistency evaluator repairs the data inconsistencies to further facilitate an error free transaction.

Abstract: Disclosed is a system comprised of different points-of-presence (“PoPs”) that provide software defined hybrid private and public networking for different entity sites. A system PoP may establish and/or maintain different network circuits for accessing different destinations or services. The system PoP may receive a tunnel creation request from a particular site, may obtain entity-defined policies that are specified for the particular site, and may establish a particular network tunnel to the particular site. The system PoP may then route egress traffic with a first classification through a first network circuit with a different quality of service (“QoS”) than egress traffic with a second classification according to the policies. Similarly, the system PoP may route ingress traffic arriving over the first network circuit through the particular network tunnel with a different QoS than ingress traffic arriving over the second network circuit according to the policies.

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: Techniques for ontology linking of unstructured text as a service are described. A service may receive a request to link unstructured text to a standardized ontology, 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 and one or more relationships between entities. The service may perform a search of the standardized ontology to identify a set of similar candidates from the standardized ontology for the detected entities and the one or more relationships, and then rank the set of similar candidates from the standardized ontology according to their similarity to the detected entities within the unstructured text. The output from the service may include a result identifying a highest ranked candidate of the set of similar candidates from the standardized ontology for the detected entities within the unstructured text.

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: Devices and techniques are generally described for a speech processing routing architecture. In various examples, first data comprising a first feature definition is received. The first feature definition may include a first indication of first source data and first instructions for generating feature data using the first source data. In various examples, the feature data may be generated according to the first feature definition. In some examples, a speech processing system may receive a first request to process a first utterance. The feature data may be retrieved from a non-transitory computer-readable memory. The speech processing system may determine a first skill for processing the first utterance based at least in part on the feature data.

Abstract: Provided is an electronic device comprising: a memory storing instructions; and at least one processor configured to execute the instructions to: detect at least one event of the electronic device operating in a first mechanism; in response to the detected at least one event, operate in a second mechanism; and transmitting screen information of the electronic device to another electronic device for displaying a virtual reality screen at the other electronic device based on the screen information.