Abstract: A determination system includes: a memory; and a processor coupled to the memory and programmed to execute a process comprising: acquiring location data representing a location of one or more user devices including a first sensor; searching for one or more public devices that is at a location corresponding to the location of the user device and that includes a second sensor having a same function as that of the first sensor included in the user device; requesting the user device to measure using the first sensor to acquire measurement data of the first sensor; acquiring measurement data of the second sensor included in the public device; and determining whether a user of the user device is legitimate based on a result of matching the measurement data of the first sensor with the measurement data of the second sensor.

Abstract: A computer-implemented method includes: (i) receiving location information that represents a physical location of a user; (ii) receiving first sensor data that has been generated by a sensor on a client device of the user; (iii) in response to receiving the first sensor data, obtaining second sensor data that has been generated by a sensor on a sensor device and that represents an environmental condition of an area around the physical location; (iv) determining whether the first sensor data matches the second sensor data; and (v) in response to determining that the first sensor data matches the second sensor data, determining that the user is authentic.

Abstract: A method, system and product for utilizing prediction models of an environment. In one embodiment, using a model of an environment and based on a first scene of the environment, a predicted second scene of the environment is predicted. An observed second scene is obtained and compared to the predicted second scene. Based on the comparison between the predicted second scene and the observed second scene, an action is performed.

Abstract: There is provided a method of automatically tagging social network posts with geo-location tags, comprising: for each of a plurality of user generated content items uploaded to a social network from a plurality of different client devices: selecting a specific geographic region mapping dataset of a plurality of geographic region mapping datasets corresponding to a specific geographic region identified by an analysis of the respective user generated content post, mapping by the specific geographic region mapping dataset, a generic term to a specific geographic location within the specific geographic region, and tagging the respective user generated content item with a geo-location tag of the specific geographic location within the specific geographic region.

Abstract: A method, system and product relating to quantum computing. The method comprises using a quantum computer to execute a quantum program a plurality of times, wherein during each execution of the quantum program: reaching an intermediate state, wherein the intermediate state is obtained prior to reaching the terminating cycle of the quantum program; and performing a measurement of a qubit at the intermediate state, whereby obtaining a plurality of measurements of the qubit at the intermediate state in a plurality of executions of the quantum program. The method further comprises determining a value of the qubit at the intermediate state based on the plurality of measurements obtained of the qubit at the intermediate state.

Abstract: A method, product and apparatus for efficient execution of a quantum program. The method comprises: determining a target qubit of a quantum program and a target cycle, wherein the quantum program is configured to manipulate a set of qubits, including the target qubit, using a set of quantum gates, wherein the quantum program is defined to use a predetermined number of gates; performing an impact analysis of the quantum program with respect to a value of the target qubit at the target cycle to identify a gate that does not impact the value of the target qubit at the target cycle; modifying the quantum program based on the impact analysis by removing the gate, whereby determining a modified quantum program, wherein the modified quantum program is defined to use a number of gates that is smaller than the predetermined number of gates; and executing the modified quantum program.

Abstract: As described herein, a system, method, and computer program are provided for network experience optimization using a residential network router. In use, an electronic calendar is accessed by a residential network router. Additionally, the residential network router determines a plurality of events saved to the electronic calendar, wherein the plurality of events require, at least in part, simultaneous network resource (e.g. bandwidth) usage. Further, the plurality of events are prioritized, using the residential network router. Still yet, available network resources are assigned among the plurality of events, using the residential network router, based on the prioritization.

Abstract: A method of serving Real Time Bidding (RTB) requests received from client devices based on availability of advertisements (ADs) at an edge storage, comprising using an RTB server for receiving RTB request(s) from one or more client devices for impression(s) in AD placement(s) offered by online content presented by the client device(s) to associated user(s), forwarding the RTB request(s) to AD exchange(s) and receiving in response a plurality of bid offers received from advertisers for purchasing the impression(s) for posting a plurality of ADs, identifying among the plurality of ADs cached AD(s) stored at an edge storage located at an edge of a network serving the client device(s), adjusting bid offers relating to non-cached ADs to reflect cost of network resources required for downloading the non-cached AD(s) and initiating service of AD(s) associated with highest bid offer(s) among the adjusted bid offers and bid offers relating to the cached AD(s).

Abstract: Method, product and apparatus for monitoring for security threats from lateral movements. A method comprises obtaining a graph of network lateral movements, that comprises nodes, representing network assets, and directed edges, representing a network lateral movement from a source asset to a target asset. An event that affects the graph of network lateral movements is detected. The event affects at least one of: the payload utility of the node and the probability of penetration to the node. The graph of network lateral movements is updated based on the event. The updated graph is analyzed to determine one or more mitigation actions to be applied. The one or more mitigation actions are applied automatically, manually or the like.

Abstract: As described herein, a machine learning system, method, and computer program are provided for making payment related customer predictions using remotely sourced data. A system of a communication service provider (CSP) identifies a customer of the CSP. Additionally, the system collects data from a plurality of data sources independent from the CSP, the data including telephone numbers and/or webpage URLs of other services providers that are associated with making payments. Further, the system processes the collected data to form input data indicating which of the telephone numbers were contacted by the customer and/or webpage URLs were accessed by the customer. Still yet, the system processes the input data using at least one machine learning algorithm to make at least one payment related prediction for the customer. Moreover, the system outputs the at least one payment related prediction made for the customer.

Abstract: As described herein, a machine learning system, method, and computer program are provided to predict which resident of a residential space is watching television for content targeting purposes. In use, a login to a television service on a television device in a residential space is detected. Additionally, information defining a plurality of residents of the residential space is identified. Further, a profile determined for the login is identified, where the profile is associated with a particular resident of the plurality of residents or a particular resident group of the plurality of residents. Still yet, the profile and the information defining the plurality of residents of the residential space is input to a machine learning model to predict one or more residents of the plurality of residents that is consuming the television service on the television device.

Abstract: A system, method, and computer program product are provided for providing device centric payments in roaming conditions. In operation, a device requests service from a visiting communication network. The device provides an identity associated with the device. The device records an amount of service utilized (e.g. utilizing blockchain technology, etc.). The device submits the amount of service utilized to the visiting network or to a blockchain, such that the visiting network is capable of determining whether the amount of service utilized recorded by the device is similar to an amount of service usage measured by the visiting network (e.g. when an established credit limit available has been utilized, etc.).

Abstract: There is provided a method of automatically tagging social network posts with geo-location tags, comprising: for each of a plurality of user generated content items uploaded to a social network from a plurality of different client devices: selecting a specific geographic region mapping dataset of a plurality of geographic region mapping datasets corresponding to a specific geographic region identified by an analysis of the respective user generated content post, mapping by the specific geographic region mapping dataset, a generic term to a specific geographic location within the specific geographic region, and tagging the respective user generated content item with a geo-location tag of the specific geographic location within the specific geographic region.

Abstract: Method, product and apparatus for monitoring for security threats from lateral movements. A method comprises obtaining a graph of network lateral movements, that comprises nodes, representing network assets, and directed edges, representing a network lateral movement from a source asset to a target asset. An event that affects the graph of network lateral movements is detected. The event affects at least one of: the payload utility of the node and the probability of penetration to the node. The graph of network lateral movements is updated based on the event. The updated graph is analyzed to determine one or more mitigation actions to be applied. The one or more mitigation actions are applied automatically, manually or the like.

Abstract: A method, system and product for using multiple packing stations in delivery of goods. A packing scheme is determined for an order based on an optimality criteria, the scheme comprising a division of a set of items between packing stations, whereby defining one or more subsets of the set of items. The packing scheme further comprising an ordering of the one or more subsets and packing stations paired therewith, by which ordering the paired packing stations are to be utilized for packing the set of items and transporting thereof to the destination, wherein in each packing station, a respective portion of the set of items is to be packed and transported therefrom. Responsive to the optimality criteria being met, instructions for executing the order are issued, whereby the set of items are packed and transported according to the packing scheme.

Abstract: A method of serving Real Time Bidding (RTB) requests received from client devices at a network edge node, comprising an edge node located at an edge of a network serving one or more client devices for obtaining a dataset associating each of a plurality of cached ADs stored in edge storage device(s) locally accessible to the edge node with one or more user attributes, receiving, from the client device(s), RTB request(s) for impression(s) in AD placement(s) presented by the client device(s) to respective user(s), each RTB request comprising user attribute(s) of the respective user, serving in response to each RTB request, to the respective client device, one of the cached ADs associated with the user attribute(s) of the respective RTB request or forwarding the respective RTB request to an RTB server when none of the cached ADs is associated with the user attribute(s) of the respective RTB request.

Abstract: A method, product and apparatus of implemented controlled propagation in quantum computing. The method includes obtaining an instruction to implement a controlled propagation of a modified value of a qubit in a quantum program at a target cycle; determining an existing value of the qubit at the target cycle in the quantum program; synthesizing a transformative quantum program based on the existing value and the modified value; and updating the quantum program to perform the transformative quantum program after the target cycle, whereby creating a modified quantum program implementing the instruction.

Abstract: A method, apparatus and product includes obtaining a logical representation of a quantum circuit and selecting a quantity of physical qubits for a physical representation of the quantum circuit, wherein the selecting of the quantity is based on a utility per-qubit metric that is used to define a utility per-qubit score of the quantum circuit. The utility per-qubit score is determined based on a ratio between a quality score of the quantum circuit when using the quantity of physical qubits and between a cost function of the quantum circuit, wherein the quality score is defined by a quality metric that is monotonically correlated to error rates of logical output qubits. The quantum circuit is synthesized using the quantity of the physical qubits that was selected.

Abstract: Method, system and product for performing private and non-private tasks in Augmented Reality (AR) systems. A privacy policy of a user using an AR device is obtained. A frame sensor is utilized to obtain frames for processing. An overlay display for the frame is generated. The overlay display is generated based on an execution of a non-private task on a non-trusted device and based on an execution of a private task on a trusted device. The private task and the non-private task are determined based on the privacy policy. The overlay display is displayed by an AR device.

Abstract: Method, system and product for performing private and non-private tasks in Augmented Reality (AR) systems. A privacy policy of a user using an AR device is obtained. A frame sensor is utilized to obtain frames for processing. An overlay display for the frame is generated. The overlay display is generated based on an execution of a non-private task on a non-trusted device and based on an execution of a private task on a trusted device. The private task and the non-private task are determined based on the privacy policy. The overlay display is displayed by an AR device.