Abstract: A system and method for creating a machine learning (ML) classifier for a database uses a weakly-supervised training data set created automatically from database items on the basis of a human-created keyword set. The automatically created training data set is used to construct one or more deep learning classifier checkpoints, which can then be compared with one another and with a classifier based on the original keyword set in order to select a classifier for use by other users viewing the database.

Abstract: Methods and apparatuses for depositing approximately equal thicknesses of a material on at least two substrates concurrently processed in separate stations of a multi-station deposition apparatus are provided.

Abstract: Example methods and client devices and network access nodes for link failure recovery in connected-mode-discontinuous-reception (C-DRX) mode are described. In one example method, the client device performs beam/link monitoring according to a first link recovery procedure if the client device is in non-discontinuous-reception (non-DRX) mode operation with a network access node. The client device performs beam/link monitoring according to a second link recovery procedure if the client device is in C-DRX mode operation with the network access node.

Abstract: Intelligent systems for detecting SIM swap in mobile devices, wherein if a user requests access to an account via a mobile device, a mobile device application (MDA) sends the request along with mobile device ID and IMSI. If all information received from the MDA matches information stored in memory, the user can access the account. If the mobile device ID or IMSI received from the MDA do not match the mobile device ID or IMSI stored in memory, a social intelligence module compares a mobile device user profile with a profile for a user associated with the account ID. If the mobile device user profile matches or is within a confidence level of the profile for the user associated with the account ID, the user can access the account. Otherwise, additional methods to validate the user may be implemented to prevent possible fraudsters from accessing the account.

Abstract: Techniques are described for an adaptive CoPP that can adapt and change based on actual network control traffic rather than static CoPP rates. An aggressive CoPP can protect the CPU (route processor) of a network device, e.g., routers and switches, but may also penalize convergence and performance. An adaptive CoPP may protect CPU as well as boost convergence and performance parameters. In particular, traffic between two sites may be managed by proactively changing the thresholds of lower CoS traffic based on the CoPP utilization of various protocol/BPDU class traffic, thereby improving data plane convergence and application performance in scaled environments.

Abstract: Disclosed herein is a method, an Access Point (AP) device for creating a closed Wireless Fidelity (Wi-Fi) hotspot network, and a method, a station device for connecting to the closed Wi-Fi hotspot network. The AP device receives a first input for creating the closed Wi-Fi hotspot network, transmits an encryption key to the station device, which is present within a predefined region, over an in-band communication medium or an out-of-band communication medium, and creates the closed Wi-Fi hotspot network by communicating management frames in cipher text with the station device. The station device receives the encryption key and the management frames from the AP device; and transmits a connection request to the AP device for connecting to the closed Wi-Fi hotspot network. The communication of the management frames in the cipher text provides improved security against attacks associated with Wi-Fi hotspot networks.

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: Computing devices with dual computing architectures for use in a subscription model are disclosed. For example, a computing device comprises a first computing architecture comprising a first set of computing resources dedicated to executing one or more first computing tasks, wherein the one or more first computing tasks are associated with a subscription-based user of the computing device. The computing device further comprises a second computing architecture comprising a second set of computing resources dedicated to executing one or more second computing tasks, wherein the one or more second computing tasks are associated with a subscription-based provider of the computing device.

Abstract: Data transfer between caching domains of a data processing system is achieved by a local coherency node (LCN) of a first caching domain receiving a read request for data associated with a second caching domain, from a requesting node of the first caching domain. The LCN requests the data from the second caching domain via a transfer agent. In response to receiving a cache line containing the data from the second caching domain, the transfer agent sends the cache line to the requesting node, bypassing the LCN and, optionally, sends a read-receipt indicating the state of the cache line to the LCN. The LCN updates a coherency state for the cache line in response to receiving the read-receipt from the transfer agent and a completion acknowledgement from the requesting node. Optionally, the transfer agent may send the cache line via the LCN when congestion is detected in a response channel of the data processing system.

Abstract: An electronic device, computer program product, and method avoids presenting certain objects during a video communication session. During a video communication session with second electronic device(s), a controller of an electronic device identifies baseline image(s) from an image stream provided by an image capturing device of the electronic device. The baseline image includes a primary image portion of participant(s) and including a scene of objects within the foreground or background of participant (s), during an initial portion of the video communication session. The controller monitors the image stream for a subsequent detection of the primary image portion and of non-participant(s) or object(s) as a secondary image portion that is not included within the baseline image(s).

Abstract: The present disclosure provides systems and methods for test pattern generation to detect a hardware Trojan. One such method includes determining, by a computing device, a set of initial test patterns to activate the hardware Trojan within an integrated circuit design; evaluating nodes of the integrated circuit design and assigning a rareness attribute value and a testability attribute value associated with respective nodes of the integrated circuit design; and generating a set of additional test patterns to activate the hardware Trojan within the integrated circuit design using a reinforcement learning model. The set of initial test patterns is applied as an input along with rareness attribute values and testability attribute values associated with the nodes of the integrated circuit, and the reinforcement learning model is trained with a stochastic learning scheme to identify optimal test patterns for triggering nodes of the integrated circuit design.

Abstract: A system and method for adaptive encryption for SD-WAN includes identifying an encrypted conversational flow and determining whether a duration of the encrypted conversational flow exceeds a threshold. The method also includes selecting a header-less tunnel for the encrypted conversational flow when the duration is more than the threshold. The method further includes transmitting the encrypted conversational flow to an egress router over the selected header-less tunnel.

Abstract: Embodiments are generally directed apparatuses, methods, techniques and so forth determine an access level of operation based on an indication received via one or more network links from a pod management controller, and enable or disable a firmware update capability for a firmware device based on the access level of operation, the firmware update capability to change firmware for the firmware device. Embodiments may also include determining one or more configuration settings of a plurality of configuration settings to enable for configuration based on the access level of operation, and enable configuration of the one or more configuration settings.

Abstract: A method, computer program product, and computing system for processing historical input/output (IO) performance data associated with one or more storage objects of a storage system. A plurality of IO modeling systems may be trained using the historical IO performance data. Modeling performance information may be determined for the plurality of IO modeling systems across the historical IO performance data. A forecast score may be determined for each IO modeling system based on the modeling performance information for the plurality of IO modeling systems. A subset of the plurality of IO modeling systems may be selected based upon the forecast score for each IO modeling system. The at least one IO modeling system may be trained using the historical IO performance data. IO performance data may be forecasted using the at least one trained IO modeling system from the subset of the plurality of IO modeling systems.

Abstract: Techniques of generating input for a kernel-based machine learning system that uses a kernel to perform classification operations on data involve generating unbiased estimators for gaussian kernels according to a new framework called Structured Orthogonal Random Features (SORF). The unbiased estimator KSORF to the kernel involves a linear transformation matrix WSORF computed using products of a set of pairs of matrices, each pair including an orthogonal matrix and respective diagonal matrix whose elements are real numbers following a specified probability distribution. Typically, the orthogonal matrix is a Walsh-Hadamard matrix, the specified probability distribution is a Rademacher distribution, and there are at least two, usually three, pairs of matrices multiplied together to form the linear transformation matrix WSORF.

Abstract: Techniques are described for personalizing customer interactions using one or more machine learning models for customer communications. For example, a computing system includes a memory and one or more processors in communication with the memory. The one or more processors are configured to: retrieve, from a database in memory, one or more sets of emotion factor values for communication data associated with a customer over time; classify, using an emotion propensity model running on the one or more processors, the customer into an emotional profile according to the customer's typical emotional response during customer communications based on the one or more sets of emotion factor values for the communication data associated with the customer over time; and determine a probability that the customer will respond positively to a particular type of customer engagement based on the emotional profile for the customer.

Abstract: Methods, systems, and apparatuses include receiving a write command including user data. The write command is directed to a portion of memory including a first block and a second block. A buffer is allocated for executing the write command to the first block. The buffer includes multiple buffer decks and the buffer holds the user data written to the first block. User data is programmed into the first block to a threshold percentage. The threshold percentage is less than one hundred percent of the first block. A buffer deck is invalidated in response to programming the first block to the threshold percentage. The buffer deck is reallocated to the second block for programming the user data into the second block. The buffer deck holds user data written to the second block.

Abstract: A urine removal device includes a plurality of layers suitable to capture and transfer urine. A conduit system is disposed inside of the device and extends from the proximal portion of the device, where it interfaces via an outlet conduit member, to the distal end of the device where it draws in urine from the device. The device allows air flow through the device to support suction that is applied. The fluid layer system has at least one conduit configured to draw urine from the distal portion of the device up to the proximal end of the device, and into the outlet conduit where it exits the urine removal device.

Abstract: A load control system for controlling an electrical load in a space of a building occupied by an occupant may include a controller configured to determine the location of the occupant, and a load control device configured to automatically control the electrical load in response to the location of the occupant. The load control system may include a mobile device adapted to be located on or immediately adjacent the occupant and configured to transmit and receive wireless signals. The load control device may be configured to automatically control the electrical load when the mobile device is located in the space. The load control system may further comprise an occupancy sensor and the load control device may automatically control the electrical load when the occupancy sensor indicates that the space is occupied and the mobile device is located in the space.

Abstract: A method includes receiving a value and an identifier from a first memory and hashing the identifier to produce a memory block identifier. The method also includes routing, based on the memory block identifier, a read request to a memory block of a plurality of memory blocks and updating the value received from the first memory based on a property received from the memory block in response to the read request. The memory further includes storing the updated value in the first memory.