Abstract: A system and a method for a transient gateway, including a storage device storing a set of data, and a gateway engine coupled to the storage device accessing and updating the set of data, the gateway engine configured to share bandwidth and resources, across a plurality of organizations. The transient gateway organizes the set of data to act as a broker amongst the plurality of organizations. The transient gateway is configured to provide resources as a monetized commodity. The transient gateway provides protocols handling capabilities of its connected devices of one organization to another organization from among the plurality of organizations.

Abstract: A technique for threat response associated with an endpoint detection and response (EDR) system. The system uses a combination of automated observable detection, threat intelligence enrichment, graph analysis, and supervised machine learning to machine-predict analyst behavior in classifying (as ‘true’ or ‘false’ positives) the EDR alerts, and to support either (i) automated suppression of those alerts that the system classifies with sufficient confidence as either true or false, or (ii) for those alerts than cannot be so classified, the providing of recommendations to analysts to facilitate their activities. Auto-detection of observables for graph-based feature detection, together with the automated disposition of alerts where possible greatly reduces overall analyst workload for the EDR system.

Abstract: An embodiment searches source for callable units, and scans the contents of the callable units, and generates a set of unit groups that each include one or more of the callable units. The embodiment preprocesses the callable units and then generates hashes of each of the callable units. The embodiment generates a data structure comprising unit identifiers associated with the hashes and their corresponding callable units. The embodiment generates statistical data using a callable-unit metric and updates the data structure by prioritizing the callable units based on the statistical data. The embodiment compares hashes of the callable units and identifies first and second callable units as redundant callable units. The embodiment updates the data structure by identifying the second callable unit as being redundant to the first callable unit. The embodiment generates a report of redundant callable units based on the data structure.

Abstract: A method, system, and computer program product, including generating, using a linear probe, confidence scores through flattened intermediate representations and theoretically-justified weighting of samples during a training of the simple model using the confidence scores of the intermediate representations.

Abstract: Methods, systems, computer program products for determining the source of activity during interaction with a user interface are provided. The method comprises selecting one or more input devices from a plurality of available input devices coupled to the user interface and receiving respective measurements for the selected one or more input devices. Based on the received respective measurements, respective feature vectors for the one or more input devices are generated and then inputted to a pre-defined regression model. Then, the source of activity is determined based on a result received from the regression model.

Abstract: Provided is a computer-implemented method, system, and computer program product for displaying information to a pedestrian using a visual indicator. A processor may detect that a vehicle is approaching a pedestrian. The processor may determine that the pedestrian is unable to see the approaching vehicle. The processor may display an indication that the vehicle is approaching the pedestrian on an object the pedestrian can currently view.

Abstract: An approach for enhancing a video stream. The approach processes a video stream and identifies frames comprising text. The approach marks text extraction locations and extracts the text from the frames. The approach determines if a mirroring effect should be applied to the text and applies if applicable, creating enhanced text. The approach inserts the enhanced text and smooths the edges of the inserted enhanced text. The approach merges the frames with the enhanced text into the video stream, creating an enhanced video stream and sends the enhanced video stream to requesting users.

Abstract: An example operation may include one or more of generating a three-dimensional (3D) model of an object via execution of a machine learning model on one or more images of the object, capturing a plurality of snapshots of the 3D model of the object at different angles to generate a plurality of snapshot images of the object, fusing a feature into each of the plurality of snapshots to generate a plurality of fused snapshots of the 3D model of the object, and storing the plurality of fused snapshots of the 3D model of the object in memory.

Abstract: A processor may receive instructional information. The instructional information may be associated with an instructional media. A processor may analyze the instructional information for one or more instructions. A processor may identify a target device from the one or more smart devices in the smart environment that are associated with the one or more instructions. A processor may perform the one or more instructions with the target device.

Abstract: In one general embodiment, a data storage product includes a magnetic recording tape having written thereon at least two servo tracks extending along a longitudinal axis of the tape. Each servo track has a timing-based servo (TBS) pattern comprising a series of servo frames arranged to enable lateral positioning of a magnetic head relative to the servo tracks as well as tape dimensional stability (TDS) compensation via head skew. Each frame comprises a sequence of pairs of leading and trailing servo stripes. Midpoints between the servo stripes in each pair, at all points having a same relative lateral height on the tape, are located along a virtual median line oriented at an angle ? from perpendicular to the longitudinal axis of the tape, the angle ? being greater than 1 degree.

Abstract: A system for determining code ancestry. The system includes: a memory; and a processor communicatively coupled to the memory. The processor is configured to perform a method comprising: receiving a source code file; parsing a plurality of functions out of the source code file; generating fuzzy fingerprints from the plurality of functions; and storing the fuzzy fingerprints in a graph database.

Abstract: Systems, computer-implemented methods and/or computer program products are provided for facilitating time management of a quantum program at one or more nodes of a system, such as a hybrid classical/quantum system. A system, such as a classic portion of the hybrid system, can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a time management component that can communicate with a node to trigger the node to execute one or more quantum program instructions relative to a counter of the node that is advanced by the communicating. The time management component can advance the counter at the node based upon a combination of time of another node and of a determined actual propagation time for the communicating.

Abstract: An embodiment for identifying and replacing logically neutral phrases in natural language queries may include receiving a natural language query. The embodiment may also identify one or more logically neutral or non-logically neutral anchors in the natural language query. The embodiment may also identify boundaries containing one or more logically neutral phrases. The embodiment may further include detecting semantic and logical relations between verbal phrases and functional language between and adjacent to the one or more logically neutral and non-logically neutral anchors to reintroduce non-logically neutral language back into a non-logically neutral portion of the natural language query. The embodiment may also include generating a modified natural language query by automatically removing the boundaries and optionally replacing the one or more logically neutral phrases in the natural language query.

Abstract: Disclosed are techniques for quantifying physical qualities of a ball returned by a player using a loop drive technique, such as in table tennis, and generating a corresponding quantitative summary of the overall quality of the loop drive technique based on the quantified physical qualities. Image processing techniques are applied to historical video recordings of balls returned using loop drive techniques to quantify physical properties of said balls. A machine learning model is generated using the quantified physical properties to determine relative significance of specific qualities and their corresponding quantified values to the overall quality or success of loop drive techniques, such as in table tennis matches.

Abstract: Systems and techniques that facilitate high-density embedded broadside-coupled attenuators are provided. In various embodiments, an attenuator can comprise an output line. In various aspects, the attenuator can further comprise a reflectively-terminated input line that is broadside coupled to the output line. In various instances, a downstream end of the reflectively-terminated input line can be shorted to ground. In other instances, a downstream end of the reflectively-terminated input line can be open from ground. In various cases, the output line can exhibit a non-looped-back-layout.

Abstract: An approach is provided in which the approach builds a combination model that includes a normal status model and an abnormal status model. The normal status model is built from a set of time-sequenced normal status records and the abnormal status model is built from a set of time-sequenced abnormal status records. The approach computes a set of time-sequenced coefficient combination values of the normal status model and the abnormal status model based on applying a set of fitting coefficient characteristics to the normal status model and the abnormal status model. The approach performs goal seek analysis on a system using the combination model and the set of time-sequenced coefficient combination values.

Abstract: Provided are techniques for digital twin functional and non-functional simulation testing. An indication is received that digital twin functional and non-functional simulation testing is to start for an application being developed, where a first portion of code for the application has been developed and a second portion of the code for the application has not been developed. Application data and an application landscape are retrieved. The digital twin functional and non-functional simulation testing is performed to identify which functional and non-functional requirements are not being met by the first portion of the code. For the functional and non-functional requirements that are not being met, suggestions are provided for at least one of the first portion and the second portion to meet one or more of the functional and non-functional requirements. One or more of the suggestions are implemented.

Abstract: An enhanced quadrature receive serial interface circuit and methods are provided for calibrating the quadrature receive serial interface circuit. A quadrature receive serial interface circuit comprises a first phase rotator and a second phase rotator generating quadrature clocks of identical frequency. Calibration of the quadrature receive serial interface circuit uses a pseudo random bit sequence (PRBS) received by the quadrature receive serial interface circuit. For calibration, one-half of the received PRBS bits are sampled and the phase rotator generating in-phase 0° and 180° clock signals is adjusted to center the data eye for the sampled half of the PRBS bits. Then all data bits (even and odd data bits) of the received PRBS bits are sampled and the phase rotator generating quadrature phase 90° and 270° clock signals is adjusted to center the data eye of all data bits of the PRBS bits to complete calibration.

Abstract: A generated signal is injected into a first network node in a set of network nodes. The generated signal comprises a predetermined pattern, the predetermined pattern comprises a plurality of time periods, wherein during each time period in the plurality of time periods a first data traffic is prevented from exiting the first network node. By monitoring data flow within the set of network nodes while the generated signal is being injected, a correlation with the generated signal is detected, the correlation correlating a second network node with the first network node. The second network node is associated with the first network node. Responsive to the association, traffic from the second network node to the set of network nodes is blocked.

Abstract: Tasks are selected for hibernation by recording user preferences for tasks having no penalty for hibernation and sleep; and assigning thresholds for battery power at which tasks are selected for a least one of hibernation and sleep. The assigning of the thresholds for battery power include considering current usage of hardware resources by a user and battery health per battery segment. A penalty score is determined for tasks based upon the user preferences for tasks having no penalty, and task performance including at least one of frequency of utilization, memory utilization, task dependency characteristics and task memory hierarchy. The penalty performance is a value including both the user preference and the task performance. Tasks can then be put into at least one of hibernation mode and sleep mode dictated by their penalty performance during the thresholds for battery power.