Abstract: In one embodiment, a device obtains behavioral metrics for application traffic in a network for a plurality of applications. The device identifies a first application and a second application from among the plurality of applications as fate sharing applications, based on a correlation between the behavioral metrics for their application traffic. The device generates a configuration change for the network that would prevent the first application and the second application from being fate sharing applications, when application traffic for the first application negatively affects the behavioral metrics for the application traffic of the second application. The device causes the configuration change to be implemented in the network.

Abstract: In one embodiment, a device uses a classification model to determine whether implementation of a routing change suggested by a predictive routing engine for a network will result in a violation of one or more network policies. The device computes a trust score, based on performance metrics for the classification model. The device causes, based in part on the trust score, implementation of the routing change in the network, when the classification model determines that application of the routing change will not result in a violation of the one or more network policies.

Abstract: In one embodiment, a device obtains user experience metrics for a plurality of sessions with an online application. The device detects a plurality of anomalies from among the user experience metrics. The device determines, based on a correlation between the plurality of anomalies, that a particular path entity is a root cause of the plurality of anomalies. The particular path entity comprises an egress service provider or data center of the online application. The device provides an indication of the particular path entity being the root cause of the plurality of anomalies.

Abstract: A method for determining an optimal spin/charge conversion operating point in a system including a pair of quantum dots including first and second quantum dots, the pair of quantum dots containing two charged particles and adopting a first charge state (2,0) in which both charged particles are in the first quantum dot, a second charge state (1,1) in which each quantum dot contains a charged particle, or a third charge state (0,2) in which both charged particles are in the second quantum dot, the charge state being a function of the voltage applied to at least two gates, the value of these voltages defining an operating point of the pair of quantum dots; the charged particles adopting a first spin state, called singlet spin state S, or a second spin state, called triplet spin state among the triplet spin state T0 or the triplet spin state T+/T?.

Abstract: A method for determining the conversion factor between a voltage applied to the gates of a system and the tunnel coupling ?QD between both quantum dots of the pair of quantum dots, the system including a pair of quantum dots containing two charged particles and including a first quantum dot and a second quantum dot, and the tunnel coupling ?QD between both quantum dots of the pair of quantum dots being modulated using a plurality of gates, a set of voltages applied to the gates of the plurality of gates defining an operating point of the system, the pair of quantum dots being in one charge state from the charge state {2,0}, the charge state {1,1} and the charge state {0,2}, and both charged particles adopting either a singlet spin state S or a triplet spin state T0 or a triplet spin state T+/T?.

Abstract: A method for determining an isolated operating point associated with an isolated regime of a system including first and second subsystems, for which isolated operating point a passage of a charged particle from the first subsystem to the second subsystem and vice versa is forbidden for a reference duration, the first subsystem and/or the second subsystem containing zero, one or more charged particles, a tunnel coupling existing between the first subsystem and the second subsystem, the tunnelling rate allowing exchange of one or more charged particles between the first subsystem and the second subsystem and being modulated by a gate voltage applied to one or more gates configured to form a potential barrier between the first subsystem and the second subsystem, an operating point of the system being determined by the value assumed by each gate voltage, this tunnel coupling being further quantified by a tunnelling rate noted ?.

Abstract: In one embodiment, a network element in a network receives one or more machine learning models configured to make an inference about the network. The network element requests, according to a predefined peering plan, telemetry attribute data from one or more peer network elements specified by the peering plan. The network element receives the telemetry attribute data from the one or more peer network elements. The network element makes, using the one or more machine learning models, an inference about the network based in part on the received telemetry attribute data.

Abstract: An elementary cell for a two-dimensional array of quantum dots, said elementary cell extending along a main plane and including: a plurality of sites occupied by quantum dots capable of confining at least one spin qubit and including at least: a first quantum dot, a second quantum dot adjacent to the first quantum dot in a first direction of the main plane, and a third quantum dot adjacent to the first quantum dot in a second direction of the main plane; and a first blocking site adjacent to the second and third quantum dots, towards which a spin qubit cannot be displaced.

Abstract: There is disclosed a method of and a system for generating a database query. A natural language input for requesting data from a database is received. A first portion of the natural language input is input to a first machine learning algorithm (MLA). A second portion of the natural language input is input to a second MLA. The first MLA outputs a first probability distribution. The second MLA outputs a second probability distribution. One or more sets of classes from the first probability distribution and the second probability distribution that satisfy a plurality of constraints are determined. A predicted probability is determined for each of the one or more sets of classes. A set of classes having a highest predicted probability from the one or more sets of classes is selected. A database query is generated based on the set of classes.

Abstract: In one embodiment, a device computes an efficiency metric regarding ingestion of telemetry data from a particular portion of a network by a predictive routing engine used to make predictive routing decisions for that portion of the network. The device makes a comparison between the efficiency metric and one or more control rules. The device determines, based on the comparison, whether ingestion of the telemetry data from the particular portion of the network by the predictive routing engine should be disabled. The device causes the predictive routing engine to stop ingesting telemetry data from the particular portion of the network.

Abstract: In one embodiment, a device obtains metadata for routing decisions made by a predictive routing service for a plurality of network deployments. The device identifies a network topology for a network deployment that does not use the predictive routing service. The device estimates, based on the metadata for routing decisions made by the predictive routing service, performance metrics for the predictive routing service were it to be used to make routing decisions for the network topology. The device sends, to a user interface, report data indicative of the performance metrics estimated for the predictive routing service were it to be used to make routing decisions for the network topology.

Abstract: In one embodiment, a service receives software version data regarding versions of software executed by devices in a network. The service detects a version change in the version of software executed by one or more of the devices, based on the received software version data. The service makes a determination that a drop in data quality of input data for a machine learning model used to monitor the network is associated with the detected version change. The service reverts the one or more devices to a prior version of software, based on the determination that the drop in quality of the input data for the machine learning model used to monitor the network is associated with the detected version change.

Abstract: A method of a wireless communication transmitter is disclosed for peak-to-average power ratio (PAPR) control of communication symbols with N time-domain signal samples for transmission via each of M antenna elements. The method comprises: applying a PAPR cost function f(x) which has a proximal operator with closed form and is differentiable in an interval, and the proximal operator comprises a parameter lambda for tuning; selecting a value for lambda to perform a trade-off between PAPR and at least one other characteristic of the wireless communication transmitter; selecting a precoding for the collection of samples as a solution to an optimization problem for the selected value for lambda, wherein the optimization problem comprises minimization of an overall cost function comprising at least the PAPR cost function, and wherein solving the optimization problem comprises using the proximal operator of the PAPR cost function.

Abstract: There is disclosed a method of and a system for predicting text in an image using one or more constraints. The image is input to a machine learning algorithm (MLA). The MLA outputs a probability distribution. The probability distribution comprises a predicted probability for each of a plurality of pairs, where each pair comprises a class and a next state of the MLA. The states of the probability distribution are added to a set of states to be searched. States that are end states or that fail to satisfy at least one of the constraints are removed from the set of states to be searched. States of the set of states to be searched are input to the MLA. The search is repeated with new states output by the MLA. End states output by the MLA are output as output states that each comprise a sequence of characters.

Abstract: The present disclosure generally relates to generating and modifying virtual avatars. An electronic device having a camera and a display apparatus displays a virtual avatar that changes appearance in response to changes in a face in a field of view of the camera. In response to detecting changes in one or more physical features of the face in the field of view of the camera, the electronic device modifies one or more features of the virtual avatar.

Abstract: A method and radio in a network node for passive intermodulation (PIM) downlink subspace acquisition. According to one aspect, a method includes determining a downlink projection matrix that is formed using the downlink beamforming weights and determining a first downlink interference covariance matrix estimate for a current downlink orthogonal frequency division multiplexed, OFDM, symbol based at least in part on multiplying the downlink projection matrix by a scaling factor that is dependent on the passive intermodulation, PIM, power generated in one or more uplink channels.

Abstract: A semiconductor device includes a layer of a semiconductor material in which is formed an active zone; a plurality of first gates forming a plurality of lines substantially parallel to each other and covering in part the active zone; a plurality of second gates forming a plurality of columns; at least one third gate, designated measurement gate, extending along an axis substantially parallel to the lines of the plurality of lines and in a direction opposite to the lines of the plurality of lines with respect to the active zone, and a first electrode and a second electrode situated on either side of the plurality of measurement gates in the active zone.

Abstract: The present disclosure relates to heterocyclyl pyridazine compounds, processes and intermediates for their preparation as well as the uses thereof for controlling phytopathogenic microorganisms, such as phytopathogenic fungi.

Abstract: Systems and methods are disclosed herein that relate to Peak-to-Average Power Ratio (PAPR) reduction in a MIMO OFDM transmitter system. In some embodiments, a method of operation of a transmitter system includes, for each carrier of two or more carriers, performing precoding of frequency-domain input signals for the carrier to provide frequency-domain precoded signals for the carrier, the frequency-domain input signals for the carrier being for a plurality of transmit layers for the carrier, respectively. The method further includes processing the two or more pluralities of frequency-domain precoded signals for the two or more carriers, respectively, in accordance with a multi-carrier processing scheme to provide a plurality of multi-carrier time-domain transmit signals for a plurality of antenna branches, respectively, of the MIMO OFDM transmitter system.