Abstract: In implementations of systems for visual reordering of partial vector objects, a computing device implements an order system to receive input data describing a region specified relative to a group of vector objects that includes a portion of a first vector object and a portion of second vector object. A visual order as between the portion of the first vector object and the portion of the second vector object within the region is determined. The order system computes a modified visual order as between the portion of the first vector object and the portion of the second vector object within the region based on the visual order. The order system generates the group of vector objects for display in a user interface using a render surface and a sentinel value to render pixels within the region in the modified visual order.

Abstract: Systems and methods for video representation learning using triplet training are provided. The system receives a video file and extracts features associated with the video file such as video features, audio features, and valence-arousal-dominance (VAD) features. The system processes the video features, audio features, and VAD features using a hierarchical attention network to generate a video embedding, an audio embedding, and a VAD embedding, respectively. The system concatenates the video embedding, the audio embedding and VAD embedding to create a concatenated embedding. The system processes the concatenated embedding using a non-local attention network to generate a fingerprint associated with the video file. The system then processes the fingerprint generate one or more of a mood prediction, a genre prediction, and a keyword prediction.

Abstract: Generating user-specific polygraphs for network activity, including: gathering information describing network activity associated with a user and generating, based on the information, a user-specific polygraph that includes one or more destinations associated with the network activity.

Abstract: A variety of applications can include apparatus and/or methods to preemptively detect defect prone memory blocks in a memory device and handle these memory blocks before they fail and trigger a data loss event. Metrics based on memory operations can be used to facilitate the examination of the memory blocks. One or more metrics associated with a memory operation on a block of memory can be tracked and a Z-score for each metric can be generated. In response to a comparison of a Z-score for a metric to a Z-score threshold for the metric, operations can be performed to control possible retirement of the memory block beginning with the comparison. Additional apparatus, systems, and methods are disclosed.

Abstract: Detecting deviations from typical user behavior, including: identifying a geographic location of a device that is associated with a user; determining device activity associated with the user; and detecting, based on a profile associated with the user, that the device activity associated with the user deviates from normal activity for the user.

Abstract: Embodiments of the present disclosure are related a method for wireless communication. The method comprises receiving by a base station (BS), signals from a plurality of user equipment's (UEs) and obtaining channel estimates associated with each UE using the received signals. Next, calculating a first metric for each UE, and each of the plurality of beams associated with the BS using the obtained channel estimates and determining one or more best beams from a plurality of beams associated with the BS, and a second metric for each UE using the first metric. Further, segregating the UEs into groups based on the determined one or more best beams and the second metric. Thereafter, performing beamforming on control channel based on the one or more best beams, and performing allocation of at least one of resources, modulation and coding scheme for a control channel based on the segregated groups.

Abstract: Detecting anomalous behavior of a device, including: generating, using information describing historical activity associated with a user device, a trained model for detecting normal activity for the user device; gathering information describing current activity associated with the user device; and determining, by using the information describing current activity associated with the user device as input to the trained model, whether the user device has deviated from normal activity.

Abstract: In implementations of systems for efficiently generating blend objects, a computing device implements a blending system to assign unique shape identifiers to objects included in an input render tree. The blending system generates a shape mask based on the unique shape identifiers. A color of a pixel of a blend object is computed based on particular objects of the objects that contribute to the blend object using the shape mask. The blending system generates the blend object for display in a user interface based on the color of the pixel.

Abstract: Described herein are systems and methods for supporting multicast for virtual networks. In some embodiments, a native multicast approach can utilized in which packet replication is performed on a host node of a virtual machine (VM) with a multicast data packet encapsulated in uniquely address unicast packets. In some embodiments, a network virtual appliance can be utilized. A multicast packet sent from the VM can be unicasted to the network virtual appliance. The multicast appliance can then replicate the packet into multiple copies and send the packets to the receivers in the virtual network as unicast data packets encapsulating the multicast packet.

Abstract: An illustrative method includes generating, based on log data associated with at least one user session in a network environment associated with a user, a logical graph, wherein the logical graph comprises: (1) a first node corresponding to the user, (2) a plurality of additional nodes, and (3) a set of edges connecting the first node to one or more of the additional nodes, wherein each edge in the set of edges represents a change in behavior of the user; using the logical graph to detect an anomaly, wherein detecting the anomaly includes determining that a change has been made to at least one edge included in the set of edges; and generating, in response to detecting the anomaly, an alert.

Abstract: A method for digital predistortion (DPD) calibration in a wireless communication device is provided that includes transmitting, by transmission circuitry of the wireless communication device, a plurality of pulses, where each pulse corresponds to an amplitude step in a pattern of amplitude steps, where the amplitude steps are separated by silence gaps, receiving each pulse in receiver circuitry of the wireless communication device, generating, by an accumulator component of the wireless communication device, an accumulated sample for each pulse based on a plurality of samples output by the receiver circuitry for the pulse, and computing, by a processor of the wireless communication device, amplitude dependent gain (AM/AM) and amplitude dependent phase shift (AM/PM) values for each accumulated sample.

Abstract: A biofuel includes a mixture having a gasoil generated from hydropyrolysis and hydroconversion of a solid biomass containing lignocellulose and an isomerized hydroprocessed ester and fatty acid (HEFA) generated from hydrotreating a renewable resource having fats and oils. The gasoil has a cetane index less than 46 and at least 10 parts per million weight (ppmw) of a heteroatom and a cetane index of the biofuel is greater than 46.

Abstract: In implementations of context-based copy-paste systems, a computing device implements a context system to receive input data describing a selection of a vector object. The context system detects vicinity vector objects based on a bounding box of the vector object and bounding boxes of the vicinity vector objects. A transformation is identified based on similarities between the vicinity vector objects and target vector objects. The context system generates a modified vector object for display in a user interface by transforming the vector object using the transformation and reproducing the transformed vector object relative to a particular target vector object of the target vector objects.

Abstract: A data platform receives data associated with activities in an environment, generates a logical graph using at least a portion of the received data, at least in part by clustering multiple nodes into a node of the logical graph based at least in part on behaviors in the network environment, and provides data representing a portion of the logical graph to a computer, the data representing the portion of the logical graph configured to be processed by the computer to display a visualization of the portion of the logical graph. The data platform may provide the data to the computer in response to receiving a query from the computer. The data platform may use the logical graph to detect an anomaly in the environment.

Abstract: In implementations of systems for efficiently rendering vector objects, a computing device implements a rendering system to identify unique geometries from a set of geometries of vector objects included in a render tree. The rendering system tessellates the unique geometries and each of the tessellated unique geometries has a unique identifier. Mappings are generated between the vector objects included in the render tree and the tessellated unique geometries using the unique identifiers. The rendering system renders the vector objects included in the render tree for display in a user interface based on the mappings.

Abstract: Graphics processing unit instancing control techniques are described that overcome conventional challenges to expand functionality made available via a graphics processing unit. In one example, these techniques support ordering of primitives within respective instances of a single draw call made to a graphics processing unit. This is performed by ordering primitives within respective instances that correspond to polygons for rendering. The ordering of the primitives overcomes limitations of conventional techniques and reduces visual artifacts through support of correct overlaps and z-ordering of instances.

Abstract: An example method of mitigating oversubscription of traffic to edge services gateways in a data center includes: receiving, by a host of the data center, traffic metrics corresponding to the ESGs; determining traffic congestion at a first active edge of the ESGs in response to the traffic metrics; dividing, in response to the traffic congestion, a classless inter-domain routing (CIDR) block assigned to the first active edge into a first CIDR block and a second CIDR block; and creating, in a routing table of a router, a first route between an internet protocol (IP) address of the first active edge and the first CIDR block, and a second route between an IP address of a second active edge of the ESGs and the second CIDR block.

Abstract: Embodiments are disclosed for interlacing vector objects. A method of interlacing vector objects may include receiving a selection of a first vector object of an image. The method may further include detecting a second vector object of the image, wherein the second vector object is different than the first vector object. The method may further include determining a first depth position for the first vector object and a second depth position for the second vector object. The method may further include interlacing the second vector object and the first vector object, wherein interlacing comprises drawing the first vector object based on the first depth position and the second vector object based on the second depth position.

Abstract: A method for providing stateful proxying is disclosed, comprising: associating a first base station with a first base station identifier at a signaling protocol gateway, and with a first Internet Protocol (IP) address of the signaling protocol gateway; associating a second base station with a second base station identifier at the signaling protocol gateway, and with a second IP address of the signaling protocol gateway; establishing a first signaling protocol connection between a third base station and the first base station via the signaling protocol gateway with the first base station using the first IP address of the signaling protocol gateway; and establishing a signaling protocol connection between the third base station and the second base station with the second base station using the second IP address of the signaling protocol gateway.

Abstract: Detecting anomalous behavior using a browser extension, including: gathering first information describing activity associated with a user and generated by a browser extension on a user device; gathering second information describing activity associated with the user and generated by an application executed on the user device; and determining, based on the first information and the second information, whether the user has deviated from normal activity.