Abstract: A legacy-to-container (L2C) system converts a computer program in a procedural programming language to an object oriented programming language. The L2C system parses the procedural language to identify program variables and also program sub-elements, such as paragraphs in COBOL for example. The L2C system provides a user interface that allows the user to select which paragraphs should be converted into methods wherein the remaining non-selected paragraphs are to be converted into classes. The L2C system is configured to re-architect the procedural language by (i) creating normal object classes corresponding to the identified variables, (ii) creating methods for the user-selected paragraphs; and (iii) creating classes for the remaining non-selected paragraphs.

Abstract: Embodiments are discussed for providing an indication of information previously accessed, or “browsed,” by a user on a control device of a media playback system, irrespective of a prior graphical display on the control device. The embodiments may involve causing a graphical display to provide a visual indication of a selectable region, receiving selection data that indicates a selection of the selectable region, irrespective of a prior graphical display and in response to receiving the selection data, identifying browse data that was most-recently accessed by the control device, where the browse data includes an indication of one or more playable media items, and causing the graphical display to provide a visual indication of the one or more playable media items indicated by the identified browse data.

Abstract: An electrically conductive nanoscale pore may be employed as an antenna to provide precise localized measurements of the impedance-altering characteristics of a molecule such as DNA or RNA or the like passing through the pore. The use of radiofrequency measurements promises high-speed analysis of long molecules (polymers).

Abstract: An embodiment of an electronic processing system may include an application processor, persistent storage media communicatively coupled to the application processor, a graphics subsystem communicatively coupled to the application processor, a sense engine communicatively coupled to the graphics subsystem to provide sensed information, a focus engine communicatively coupled to the sense engine and the graphics subsystem to provide focus information, a motion engine communicatively coupled to the sense engine, the focus engine, and the graphics subsystem to provide motion information, and a motion biased foveated renderer communicatively coupled to the motion engine, the focus engine, the sense engine to adjust one or more parameters of the graphics subsystem based on one or more of the sense information, the focus information, and the motion information. Other embodiments are disclosed and claimed.

Abstract: Input/output circuitry includes a first PMOS device and a first NMOS device having first current electrodes are connected to each other and a pad. First selection circuitry, when the I/O circuitry is disabled, provides a first supply voltage to a control electrode and an N-well of the first PMOS device when the pad voltage is between the first and second supply voltages and to directly provide the pad voltage to the control electrode and the N-well of the first PMOS device when the pad voltage is greater than the first supply voltage. Similarly, second selection circuitry, when the I/O circuitry is disabled, provides a second supply voltage or directly provides the pad voltage to a control electrode and a P-well of the first NMOS device depending on whether the pad voltage is between the first and second supply voltages or less than the second supply voltage, respectively.

Abstract: Systems, apparatuses, and methods may provide for technology to dynamically control a display in response to ocular characteristic measurements of at least one eye of a user.

Abstract: A first connection state may be entered on a computing device. While the computing device is in the first connection state, actions taken on a playlist on the computing device may be applied to the playlist and not applied to a playback queue associated with a zone. An input may be received via the computing device, indicating a selection of the zone. In response to receiving the input, a second connection state may be entered. Entering the second connection state may comprise establishing a connected state between the computing device and the one or more playback devices. While the connected state is established, one or more actions taken on the playlist on the computing device may be applied to the playlist and transmitted, in a message to the zone over a network. The one or more actions may be one or more corresponding actions applied to the playback queue.

Abstract: A system is configured to perform operations that include receiving an input corresponding to a transaction by a user at a merchant location and determining, based on the input, an identifier corresponding to the user. The operations also include authenticating, via an electronic network, the user with a payment provider server of a payment provider and accessing from the payment provider server based on the identifier, digital wallet information corresponding an account of the user that is maintained by the payment provider. The operations further include receiving a selection of a first digital payment instrument of one or more digital payment instruments and transmitting, via a payment network to a payment processor, payment instructions that cause the payment processor to process a payment corresponding to the transaction using first payment information associated with the first digital payment instrument.

Abstract: A system and method of managing a network that includes assets are described. The method includes modeling the network as a directed graph with each of the assets represented as a node and determining alternative paths to each node from each available corresponding source of the node. The method also includes computing upstream robustness of each node, computing upstream robustness of the network, and computing downstream criticality of each node. Managing the network and each asset of the network is based on the upstream robustness and the downstream criticality of each node.

Abstract: Embodiments described herein provide a privacy mechanism to protect user data when transmitting the data to a server that estimates a frequency of such data amongst a set of client devices. One embodiment uses a differential privacy mechanism to enhance a user experience by identifying particular websites that exhibit particular characteristics. In one embodiment, websites that are associated with a high resource consumption are identified. High resource consumption can be identified based on threshold of particular resources such as processor, memory, network bandwidth, and power usage.

Abstract: In one embodiment, a method includes by one or more computing machines: receiving a search query from a user, generating a normalized query based on the search query, identifying multiple objects matching the search query, and calculating an engagement score for each object. The engagement score is based on real-time counters and batch counters. Each counter includes: a key listing the object, normalized query, and one of multiple types of user interactions; and a value indicating a number of user interactions with the object performed in response to search queries normalizing to the normalized query. The value for real-time and batch counters indicates user interactions during first and second threshold windows of time, respectively. The method continues with sending, to the user, a search-results interface including results corresponding to the identified objects above a threshold engagement score, and updating the real-time counters based on user interactions with the search results.

Abstract: An introspection network is a machine-learned neural network that accelerates training of other neural networks. The introspection network receives a weight history for each of a plurality of weights from a current training step for a target neural network. A weight history includes at least four values for the weight that are obtained during training of the target neural network up to the current step. The introspection network then provides, for each of the plurality of weights, a respective predicted value, based on the weight history. The predicted value for a weight represents a value for the weight in a future training step for the target neural network. Thus, the predicted value represents a jump in the training steps of the target neural network, which reduces the training time of the target neural network. The introspection network then sets each of the plurality of weights to its respective predicted value.

Abstract: Embodiments described herein ensure differential privacy when transmitting data to a server that estimates a frequency of such data amongst a set of client devices. The differential privacy mechanism may provide a predictable degree of variance for frequency estimations of data. The system may use a multibit histogram model or Hadamard multibit model for the differential privacy mechanism, both of which provide a predictable degree of accuracy of frequency estimations while still providing mathematically provable levels of privacy.

Abstract: A technique is described where the switch and/or tunable control circuit for use with an active multi-mode antenna is positioned remote from the antenna structure itself for integration into host communication systems. Electrical delay and impedance characteristics are compensated for in the design and configuration of transmission lines or parasitic elements as the active multi-mode antenna structure is positioned in optimal locations such that significant electrical delay is introduced between the RF front-end circuit and multi-mode antenna. This technique can be implemented in designs where it is convenient to locate switches in a front-end module (FEM) and the FEM is located in vicinity to the transceiver.

Abstract: Embodiments described herein provide a privacy mechanism to protect user data when transmitting the data to a server that estimates a frequency of such data amongst a set of client devices. In one embodiment, a differential privacy mechanism is implemented using a count-mean-sketch technique that can reduce resource requirements required to enable privacy while providing provable guarantees regarding privacy and utility. For instance, the mechanism can provide the ability to tailor utility (e.g. accuracy of estimations) against the resource requirements (e.g. transmission bandwidth and computation complexity).

Abstract: A system for reconciliation comprises a determination engine to determine whether data is structured or unstructured, a data structuring engine to structure the data, and a rule extraction engine to determine relations between pairs of values of a first set and a second set of data. The system further comprises a matching engine to generate a confidence score for each pair of the values, a categorization engine to classify the pairs of values into matched pairs and unmatched pairs, a validation engine to validate matching and classification of the pairs based on a user feedback, and a learning engine to store details pertaining to the validation of the matching and the classification over a period of time. The learning engine forwards the details to the rule extraction engine and the categorization engine to determine the relations between subsequent pairs of values and classify the pairs based on the stored details.

Abstract: Embodiments described herein provide a privacy mechanism to protect user data when transmitting the data to a server that estimates a frequency of such data amongst a set of client devices. One embodiment uses a differential privacy mechanism to enhance a user experience by inferring potential user preferences from analyzing crowdsourced user interaction data. Based on a statistical analysis of user interactions in relation to various features or events, development efforts with respect to application behavior may be refined or enhanced. For example, user interactions in relation to the presentation of content such as content from online sources may be analyzed. Accordingly, presentation settings or preferences may be defined based on the crowdsourced user interaction data.

Abstract: Systems and methods are provided for processing map data. The systems and methods calculate road curvature data for a curved road segment along a road based on measured data obtained from a measuring unit of a vehicle moving along the road. The systems and methods perform a map processing function on road map data for the road including the curved road segment based on the calculated road curvature data correlated with the global positioning data. The systems and methods include outputting result data resulting from the map processing function.

Abstract: Methods, systems and apparatus for a user equipment to implement a dynamic discard timer. The user equipment may generate a packet for transmission and store the packet in a buffer of the user equipment. The user equipment may then generate a timeout value for a discard timer for the buffer, where the discard timer discards the packet from the buffer when the timeout value is reached. After a predetermined amount of time, the user equipment may determine whether the packet has been discarded from the buffer and, when it is determined that the packet has not been discarded from the buffer, update the timeout value.

Abstract: Systems, apparatuses and methods may provide for establishing a hardware-based chain of trust in a computing system and extending the hardware-based chain of trust to a container manager and a containerized application on the computing system. Additionally, the containerized application may be checked for its trust and security while it is launched, via the container manager, on the computing system. In one example, extending the hardware-based chain of trust includes conducting a pre-boot measurement of the container manager, a root of trust measurement agent, and one or more packages associated with the containerized application, and verifying the pre-boot measurement of the platform/host and the application itself prior to the containerized application being launched.