Abstract: A column in a memory array includes one bit cell circuit in each row for storing information about the row. The bit cell circuits store data in a data node and a complement data node in a cross-coupled inverter circuit. Toggling the nodes in a cross-coupled inverter includes discharging a charged node in contention with a charge current provided in the cross-coupled inverter circuit. The column circuit includes a first voltage supply circuit to decouple the cross-coupled inverter circuits from a first voltage rail to cut off charging current in response to a column set signal in a column set operation. The cross-coupled inverters of the bit cell circuits in the column circuit are coupled to a first voltage supply line. The column set input controls the first voltage supply circuit to decouple the first voltage supply line from a first voltage rail.

Abstract: Systems and methods for training an object detection network are described. Embodiments train an object detection network using a labeled training set, wherein each element of the labeled training set includes an image and ground truth labels for object instances in the image, predict annotation data for a candidate set of unlabeled data using the object detection network, select a sample image from the candidate set using a policy network, generate a labeled sample based on the selected sample image and the annotation data, wherein the labeled sample includes labels for a plurality of object instances in the sample image, and perform additional training on the object detection network based at least in part on the labeled sample.

Abstract: An apparatus includes a communication interface and a processor operably coupled to the communication interface. The processor is configured to receive an expected service level agreement (SLA) for a media service from a service provider, where the media service includes a plurality of media flows. The processor is also configured to provision a network slice that includes media functions based on the expected SLA. The processor is further configured to configure the media functions in the network slice with flow prioritization information for each media flow among the plurality of media flows. Additionally, the processor is configured to determine performance of each of the media flows. The processor is also configured to perform adjustment of the service parameters based on the determination that the performance of one or more of the media flows is below the expected SLA.

Abstract: Disclosed is a method for a social interaction by a robot device. The method includes receiving an input from a user, determining an emotional state of the user by mapping the received input with a set of emotions and dynamically interacting with the user based on the determined emotional state in response to the input. Dynamically interacting with the user includes generating contextual parameters based on the determined emotional state. The method includes determining an action in response to the received input based on the generated contextual parameters and performing the determined action. The method further includes receiving another input from the user in response to the performed action and dynamically updating the mapping of the received input with the set of emotions based on the other input for interacting with the user.

Abstract: Techniques for template generation from image content include extracting information associated with an input image. The information comprises: 1) layout information indicating positions of content corresponding to a content type of a plurality of content types within the input image; and 2) text attributes indicating at least a font of text included in the input image. A user-editable template having the characteristics of the input image is generated based on the layout information and the text attributes.

Abstract: Examples of analyzing a plurality of operating parameters of a computing device are described. In an example, current operating parameters of a target computing device may be analyzed based on a first model and a second model. A first model may be trained based on a set of environment-related parameters. A second model may incorporate a set of global weights, wherein the global weights may be based on a set of environment-agnostic parameters.

Abstract: Agents for decontaminating and/or neutralizing organophosphorus compounds (e.g., nerve agents, pesticides) and methods of using those agents are disclosed. Preferred agents comprise aminoguanidine imines, and these agents do not require a strongly alkaline environment to be effective. The aminoguanidine imines can hydrolytically decontaminate substantially all of the target organophosphorus compound(s) in a matter of minutes.

Abstract: Embodiments provide systems, methods, and computer storage media for extracting semantic labels for field widgets of form fields in unfilled forms. In some embodiments, a processing device accesses a representation of a fillable widget of a form field of an unfilled form. The processing device generates an encoded input representing text and layout of a sequence of tokens in a neighborhood of the fillable widget. The processing device uses a machine learning model to extract a semantic label representing a field type of the fillable widget in view of the encoded input. The processing device causes execution of an action using the semantic label.

Abstract: Application aware storage volumes and snapshots are disclosed. An application, such as a data protection application, can discover a mapping between an application and storage volumes. The mapping, represented as application metadata, can be written to the volume and/or to backups. The application metadata facilitates application management and allows different administrators to communicate more effectively.

Abstract: A method, apparatus, and computer program product for executing a relational database management system (RDBMS) in a computer system, wherein the RDBMS manages a relational database comprised of at least one column-partitioned base table storing data. Column values from at least one column of the column-partitioned base table are stored in one or more containers spread across one or more data blocks. Metadata comprising summarized information about the column values in the containers is stored in a metadata index subtable. A query with a filtering condition on the column is applied to the metadata index subtable before the column-partitioned base table is accessed, so that only qualified containers and data blocks are accessed, and unqualified containers and data blocks are eliminated, when responding to the query.

Abstract: Examples relate to generating sync signals. An example apparatus includes an output, an input and a circuit. The output provides a data-valid signal to a video source operative to provide video data to a video-data-processing pipeline. The input receives a delayed data-valid signal from the video-data-processing pipeline. The circuit to generate a delayed horizontal-sync signal and a delayed vertical-sync signal at least partially responsive to the received delayed data-valid signal.

Abstract: Techniques are described that support automated generation of a digital document from digital videos using machine learning. The digital document includes textual components that describe a sequence of entity and action descriptions from the digital video. These techniques are usable to generate a single digital document based on a plurality of digital videos as well as incorporate user-specified constraints in the generation of the digital document.

Abstract: Computer memory systems employing localized generation of a global bit line (GBL) clock signal to reduce clock signal read path divergence for improved signal tracking, and related methods. The memory system includes one or more memory banks that each include a memory array comprised memory bit cells organized in respective memory row and memory column circuits. A global bit line (GBL) keeper circuit in a GBL control path in the memory system is coupled to the GBLs to latch output read data from a word line path in a selected memory row circuit of a selected memory bank in a read operation. To improve tracking of timing of the GBL control path with the word line paths in the memory row circuits, a GBL clock signal and local WL clock signal in a given memory bank are separately sourced from a source clock locally within the selected memory bank.

Abstract: Examples disclosed herein include a video-data encoder. The video data encoder may encode a 4×4 data block into a bit stream according to a context adaptive variable length coding. The 4×4 data block may be representative of video data. The video-data encoder may, while encoding the 4×4 data block, ignore at least some coefficients of the 4×4 data block. In some examples, the video-data encoder may ignore the at least some coefficients of the 4×4 data block by setting the at least some coefficients of the 4×4 data block to zero prior to encoding the 4×4 data block. Related devices, systems and methods are also disclosed.

Abstract: An apparatus includes a communication interface and a processor operably coupled to the communication interface. The communication interface is configured to receive from an application service provider, expected stream parameters for a plurality of media streams provided over at least one network slice. The communication interface is also configured to receive actual stream parameters for each of the media streams. The processor is configured to determine stream transmission condition information for each of the media streams, wherein the stream transmission condition information is based on a comparison of the actual stream parameters and the expected stream parameters. The processor is also configured to perform stream synchronization based on the stream transmission condition information.

Abstract: Techniques are described that support automated generation of a digital document from digital videos using machine learning. The digital document includes textual components that describe a sequence of entity and action descriptions from the digital video. These techniques are usable to generate a single digital document based on a plurality of digital videos as well as incorporate user-specified constraints in the generation of the digital document.

Abstract: Examples of systems for detecting anomaly in a print job performed by a three-dimensional printer are described herein. In an example, a data set pertaining to a set of layers printed based on a print job of the 3D printer may be processed by an anomaly detection engine. Thereafter, a data set of a layer being printed by the 3D printer may be obtained. Based on the data set of the set of layers and the data set of the layer being printed, an anomaly may be detected in real-time.

Abstract: Techniques are described that support automated generation of a digital document from digital videos using machine learning. The digital document includes textual components that describe a sequence of entity and action descriptions from the digital video. These techniques are usable to generate a single digital document based on a plurality of digital videos as well as incorporate user-specified constraints in the generation of the digital document.

Abstract: A column in a memory array includes one bit cell circuit in each row for storing information about the row. The bit cell circuits store data in a data node and a complement data node in a cross-coupled inverter circuit. Toggling the nodes in a cross-coupled inverter includes discharging a charged node in contention with a charge current provided in the cross-coupled inverter circuit. The column circuit includes a first voltage supply circuit to decouple the cross-coupled inverter circuits from a first voltage rail to cut off charging current in response to a column set signal in a column set operation. The cross-coupled inverters of the bit cell circuits in the column circuit are coupled to a first voltage supply line. The column set input controls the first voltage supply circuit to decouple the first voltage supply line from a first voltage rail.

Abstract: Techniques for template generation from image content includes extracting information associated with an input image. The information comprises: 1) layout information indicating positions of content corresponding to a content type of a plurality of content types within the input image; and 2) text attributes indicating at least a font of text included in the input image.