Abstract: An approach for tuning a data management system is provided. A processor retrieves one or more samples pairs of record data. A processor determines an error rate regarding the performance of a matching operation of a data management system based on the one or more sample pairs. In response to the error rate being above a value, a processor adjusts at least one threshold value associated with the matching operation of the data management system.

Abstract: Multiple non-silicon semiconductor material layers may be stacked within a fin structure. The multiple non-silicon semiconductor material layers may include one or more layers that are suitable for P-type transistors. The multiple non-silicon semiconductor material layers may further include one or more one or more layers that are suited for N-type transistors. The multiple non-silicon semiconductor material layers may further include one or more intervening layers separating the N-type from the P-type layers. The intervening layers may be at least partially sacrificial, for example to allow one or more of a gate, source, or drain to wrap completely around a channel region of one or more of the N-type and P-type transistors.

Abstract: Disclosed herein are embodiments for intelligent listing creation for a for sale object (FSO). Some embodiments operate by determining a numerical identifier corresponding to a category of the FSO. A binarization of the numerical identifier using hot encoding is performed and using a neural network regression model, an optimal offer price is generated based on a category of the FSO. Information about the FSO is provided to the neural network regression model that tokenizes the textual input, and a unique binary vector representing the category is provided instead of the numerical identifier to the neural network regression model. An optimal price, generated by the neural network regression model, based on the unique binary vector representing the category.

Abstract: Embodiments described include a computing device for generating risk scores of network entities. The computing device can include one or more processors configured to detect a plurality of risk indicators. Each of the risk indicators identify one of a plurality of activities of a network entity of an organization. The network entity includes a device, an application or a user in the organization's network. The one or more processors can generate a risk score of the network entity, by combining a risk value, an amplification factor and a dampening factor of each of the plurality of risk indicators, and adding an adjustment value for the plurality of risk indicators. The one or more processors can determine, using the generated risk score, a normalized risk score of the network entity. The one or more processors can initiate an action according to the normalized risk score.

Abstract: A method including forming a non-planar conducting channel of a multi-gate device on a substrate, the channel including a height dimension defined from a base at a surface of the substrate; modifying less than an entire portion of the channel; and forming a gate stack on the channel, the gate stack including a dielectric material and a gate electrode. An apparatus including a non-planar multi-gate device on a substrate including a channel including a height dimension defining a conducting portion and an oxidized portion and a gate stack disposed on the channel, the gate stack including a dielectric material and a gate electrode.

Abstract: Systems and methods are provided for performing a live upgrade process of one or more devices (e.g., access points (APs), etc.) in a large scale network environment. For example, the system can use neighbor path loss data between the APs. The neighbor path loss data may identify the signal strength between two points as an indication of the ability to transmit power and receive power from the individual APs. When the ability to transmit and receive power is present in one AP is unavailable the user device may connect to a second AP to avoid losing connectivity. This neighbor path loss data may be utilized to perform a live upgrade process of APs in parallel at multiple locations of the user site.

Abstract: A method for invoking a user-intended Internet of Things (IoT) device amongst a number of IoT devices is disclosed. The method includes extracting by the number of IoT devices, a number of voice parameters from a voice wakeup command for waking up the device. The method includes sharing by the number of IoT devices, the number of voice parameters amongst the number of IoT devices. The method includes comparing the number of voice parameters with a number of pre-stored voice parameters in the number of IoT devices. The method includes determining, a user-intended IoT device amongst the number of IoT devices based on the voice wakeup command and at least one of a similarity between the plurality of pre-stored voice parameters and the plurality of voice parameters and a previously invoked IoT device associated with a previous voice wakeup command. The method includes invoking the user-intended IoT device selected amongst the number of IoT devices.

Abstract: Embodiments herein disclose a method and electronic device for predicting multi-modal drawings. The method includes: receiving, by the electronic device, at least one of a text input and strokes of a drawing and determining, by the electronic device, features associated with the text input and features associated with the strokes of the drawing. The method includes classifying, by the electronic device, the features associated with the text input and the features associated with the strokes of the drawing into one of a dominant feature and a non-dominant feature and performing, by the electronic device, early concatenation or late concatenation of the features based on the classification; classifying, by the electronic device, the strokes of the drawing based on the concatenation into a category using a deep neural network (DNN) model; and predicting, by the electronic device, primary drawings corresponding to the category.

Abstract: A request to perform a batch of operations is provided to a distributed database. The request comprises instructions for validating a condition. An association between the request and a unique identifier is stored. An item in the distributed database is locked and the condition is validated. The system that initiates processing of the batch of operations. A second request, comprising the identifier, is received. The second request is responded to by providing information indicative of the status of processing the first request, based on the stored association. The lock is released when processing of the first request has completed.

Abstract: In some implementations, a method of encoding a low-frequency effect (LFE) channel comprises: receiving a time-domain LFL channel signal; filtering, using a low-pass filter, the time-domain LFE channel signal; converting the filtered time-domain LFE channel signal into a frequency-domain representation of the LFE channel signal that includes a number of coefficients representing a frequency spectrum of the LFL channel signal; arranging coefficients into a number of subband groups corresponding to different frequency bands of the LFE channel signal; quantizing coefficients in each subband group according to a frequency response curve of the low-pass filter; encoding the quantized coefficients in each subband group using an entropy coder tuned for the subband group; and generating a bitstream including the encoded quantized coefficients; and storing the bitstream on a storage device or streaming the bitstream to a downstream device.

Abstract: Techniques are provided for performing radio frequency (RF) sensing to determine the viewing status of a television user. This can be used to determine user behavior during the playback of content (e.g., whether a user is watching the content), which can be used as a data point for determining the user's level of interest in the content. Using the status of the television user, embodiments can provide additional or alternative functionality, such as powering down and/or powering up the television. Furthermore, RF sensing may be performed by existing television hardware, such a Wi-Fi transceiver, and may therefore provide RF sensing functionality to a television with little or no added cost.

Abstract: Various embodiments for providing a user interface test and validation system are described herein. An embodiment operates by determining user interface (UI) settings and metadata, and fetching data corresponding to the metadata. A plurality of test procedures corresponding to the UI element are identified. A plurality of states to be present in a rendering of the UI element based on the plurality of test procedures, the metadata, and the data are identified. A rendering of the UI element is validated against the plurality of states. A test report is provided based on the validating.

Abstract: Systems and methods of managing virtual application performance in a virtual computing environment are provided. A system determines an application interaction score based on corresponding application interaction factors associated with sessions. The system determines the application interaction score for each virtual application accessed during each of the sessions. The system generates an aggregated application interaction score for each of the sessions based at least on combining the application interaction score for each of the virtual applications accessed during a corresponding session. The system performs an action based at least in part on the aggregated application interaction score to improve performance of a virtual application accessed via the virtual computing environment.

Abstract: Described herein are apparatuses, methods, and systems associated with a deep trench via in a three-dimensional (3D) integrated circuit (IC). The 3D IC may include a logic layer having an array of logic transistors. The 3D IC may further include one or more front-side interconnects on a front side of the 3D IC and one or more back-side interconnects on a back side of the 3D IC. The deep trench may be in the logic layer to conductively couple a front-side interconnect to a back-side interconnect. The deep trench via may be formed in a diffusion region or gate region of a dummy transistor in the logic layer. Other embodiments may be described and claimed.

Abstract: Encoding/decoding an immersive voice and audio services (IVAS) bitstream comprises: encoding/decoding a coding mode indicator in a common header (CH) section of an IVAS bitstream, encoding/decoding a mode header or tool header in the tool header (TH) section of the bitstream, the TH section following the CH section, encoding/decoding a metadata payload in a metadata payload (MDP) section of the bitstream, the MDP section following the CH section, encoding/decoding an enhanced voice services (EVS) payload in an EVS payload (EP) section of the bitstream, the EP section following the CH section, and on the encoder side, storing or streaming the encoded bitstream, and on the decoder side, controlling an audio decoder based on the coding mode, the tool header, the EVS payload, and the metadata payload or storing a representation of same.

Abstract: A network appliance is configured to receive a packet having an address of a custom device as a source address. Policies are accessed that are applicable to a virtual network associated with the custom device. The policies are applied to the packet. A hairpin layer redirects the packet to a destination address contained in the packet. For subsequent packets, application of the policies is bypassed to the subsequent packets. Application of the policies is offloaded to an acceleration device.

Abstract: A vehicle includes an interface device, an in-vehicle control unit, a functional unit, and a processing circuitry. The interface device receives a spoken command to identify an in-cabin vehicle zone of two or more in-cabin vehicle zones of the vehicle, and receives background audio data concurrently with a portion of the spoken command. The in-cabin vehicle control unit separates the background audio data from the spoken command, and selects which in-cabin vehicle zone of the two or more in-cabin vehicle zones is identified by the spoken command. The functional unit controls a function within the vehicle. The processing circuitry stores, to a command buffer, data processed from the received spoken command, and controls, based on the data processed from the received spoken command, the functional unit using audio input received from the selected in-cabin vehicle zone.

Abstract: A hardware-assisted Distributed Memory System may include software configurable shared memory regions in the local memory of each of multiple processor cores. Accesses to these shared memory regions may be made through a network of on-chip atomic transaction engine (ATE) instances, one per core, over a private interconnect matrix that connects them together. For example, each ATE instance may issue Remote Procedure Calls (RPCs), with or without responses, to an ATE instance associated with a remote processor core in order to perform operations that target memory locations controlled by the remote processor core. Each ATE instance may process RPCs (atomically) that are received from other ATE instances or that are generated locally. For some operation types, an ATE instance may execute the operations identified in the RPCs itself using dedicated hardware. For other operation types, the ATE instance may interrupt its local processor core to perform the operations.

Abstract: Integrated circuit structures including a buried etch-stop layer to help control transistor source/drain depth are provided herein. The buried etch-stop layer addresses the issue of the source/drain etch (or epi-undercut (EUC) etch) going below the bottom of the active height of the channel region, as such an issue can result in un-controlled sub-fin leakage that causes power consumption degradation and other undesired performance issues. The buried etch-stop layer is formed below the channel material, such as in the epitaxial stack that includes the channel material, and acts to slow the removal of material after the channel material has been removed when etching to form the source/drain trenches. In other words, the buried etch-stop layer includes different material from the channel material that can be etched, for at least one given etchant, at a relatively slower rate than the channel material to help control the source/drain trench depth.

Abstract: Systems and methods for detecting digital abuse or digital fraud that involves malicious account testing includes implementing a machine learning threat model that predicts malicious account testing using misappropriate accounts, wherein a subset of a plurality of learnable variables of an algorithmic structure of the machine learning threat model includes one or more learnable variables derived based on feature data indicative of malicious account testing; wherein implementing the machine learning threat model includes: (i) identifying event data from an online event that is suspected to involve digital fraud or digital abuse, (ii) extracting adverse feature data from the event data that map to the one or more learnable variables of the subset, and (iii) providing the adverse feature data as model input to the machine learning threat model; and computing, using the machine learning threat model, a threat prediction indicating a probability that the online event involves malicious account testing.