Abstract: A method and a computer program product and an apparatus for securing communication in heterogeneous networks that include devices with different protection levels. The method comprises monitoring, by a security agent installed on a device, communication between the device and external devices. The method comprises determining a level of in-device protection for each device based on available protection thereof. The method further comprises employing, by the security agent, an associated security policy for communications originating from the device, based on the level of in-device protection; such as resources utilized for employing security policies for communications originating from devices are correlated with the protection levels thereof. The method may further comprise enabling sharing security workload between device having trusted security agents to improve performance efficiency thereof.

Abstract: A method and a computer program product and an apparatus for securing communication in heterogeneous networks that include devices with different protection levels. The method comprises monitoring, by a security agent installed on a device, communication between the device and external devices. The method comprises determining a level of in-device protection for each device based on available protection thereof. The method further comprises employing, by the security agent, an associated security policy for communications originating from the device, based on the level of in-device protection; such as resources utilized for employing security policies for communications originating from devices are correlated with the protection levels thereof. The method may further comprise enabling sharing security workload between device having trusted security agents to improve performance efficiency thereof.

Abstract: A method, system and product including obtaining a media sample of a media stream; retrieving from a database a media record that matches the media sample of the media stream; aligning the media record with the media stream, wherein aligning the media record comprises determining an offset from a start of the media record; comparing the media stream with the media record according to the offset; and upon identifying a semantic deviation between the media stream and the media record, determining that the media stream is semantically manipulated.

Abstract: As described herein, a system, method, and computer program are provided for dynamically generating assistance information for customer service agents. In use, presence of a customer at a physical retail store is identified. Additionally, information describing the customer is processed, using a machine learning model, to determine an expected outcome of an interaction with the customer occurring within the physical retail store. It is then determined that the customer is to be assisted by a customer service agent. Further, assistance information for the customer service agent is dynamically generated, based at least in part on the expected outcome of the interaction with the customer.

Abstract: A detection device includes a processing circuit that is configured to acquire an imaging video of a user to be authenticated, specify categories of micro-expressions of the user using the acquired imaging video, and determine whether an appearance pattern of each specified category for the micro-expressions is normal.

Abstract: A system and method for detecting fraud may scan (e.g. by computer server) a target website provided by another server to identify products provided by the website. Based on the scanning, a process may calculate a set of possible amounts related to each of a set of transactions, calculate a probability for each transaction, receive details of a new transaction to take place at the target website, and generate an authentication score for the transaction based on the calculated probabilities.

Abstract: A method, system and product for implementing user-based ethical decision making in autonomous vehicles. The system includes an ethical investigator that presents an ethical questioner to an entity and collects the entity's responses. An ethical synthesizer synthesizes an ethical preference of the entity based on the collected responses. An ethical determinator selects an action from a plurality of potential actions based on an ethical preference of a controlling entity of a self-driving vehicle at a time the selection is made. The system is configured to cause the self-driving vehicle to perform the action selected by said ethical determinator automatically and without relying on user input.

Abstract: A method, apparatus and product includes obtaining a logical representation of a quantum circuit; modifying the quantum circuit to transfer a gate operation defined in a first cycle to be performed in a second cycle, thereby obtaining a modified quantum circuit, wherein said modifying does not change a functionality of the quantum circuit, and synthesizing the modified quantum circuit using a dynamic error correction scheme. The dynamic error correction scheme implements error correction operations using a first assignment of first physical qubits to a logical qubit for a first set of cycles and using a second assignment of second physical qubits to the logical qubit for a second set of cycles, wherein the first set of cycles comprises the first cycle, and the second set of cycles comprises the second cycle.

Abstract: An inventory handling system and a method for managing thereof, comprising multiple shelving units with shelves on which containers are placed. The system comprises a movable picking station configured to travel among the shelving units, and transfer items between containers. The movable picking station is configured to collect from the multiple shelving units into an order container at least a portion of a plurality of items listed in an order to be fulfilled. The movable picking station is configured to place the pickable items in the order container in an optimal arrangement while minimizing the distance the containers are moved and potential damage to the items.

Abstract: A vending-tote adapted to be moved by a lift-robot across a shelving-unit to rendezvous with a second tote carried by a second robot, the vending-tote comprising: a container designed to contain a plurality of items; and a dispensing mechanism integrated within the container, wherein the dispensing mechanism is configured to be activated by the lift-robot, the second robot, or both for dispensing at least one item of the plurality of items into the second tote.

Abstract: A system and a method of obtaining a location of a document on a computer network based on a document property. The method may include: receiving at least one basic marker and an encoding function associated with the document property; generating a search term according to the encoding function, based on the at least one basic marker; providing the search term to at least one search engine and obtaining therefrom one or more search results corresponding, where each search result may include one or more references to locations of documents on the computer network; discovering at least one document having the document property from the one or more search results and obtaining a discovered location of the document on the computer network; and performing at least one rule-based action, according to at least one document property of the discovered document.

Abstract: As described herein, a machine learning system, method, and computer program are provided for evaluation of customer service agents. In use, presence of a customer at retail store is identified. Additionally, information associated with the customer is processed, using a machine learning model, to determine an expected outcome of an interaction with the customer occurring within the retail store. Further, after the interaction by an agent of the retail store with the customer, an actual outcome of the interaction is determined. Still yet, the agent is evaluated by comparing the actual outcome with the expected outcome. A result of the evaluation is then output, such as for use in assigning the agent to future in-store customers.

Abstract: Method, system and computer program product, the method comprising: during a streaming session of a media by a capturing device to the processing platform, transmitting to the capturing device an instruction to implement an operation mode when capturing a second portion of the media; receiving from the capturing device the media, wherein the media comprises at least a first portion and the second portion; and verifying authenticity of the media, wherein said verifying is based on a determination that the second portion of the media complies with the operation mode.

Abstract: A system and a method of obtaining a location of a document on a computer network based on a document property. The method may include: receiving at least one basic marker and an encoding function associated with the document property; generating a search term according to the encoding function, based on the at least one basic marker; providing the search term to at least one search engine and obtaining therefrom one or more search results corresponding, where each search result may include one or more references to locations of documents on the computer network; discovering at least one document having the document property from the one or more search results and obtaining a discovered location of the document on the computer network; and performing at least one rule-based action, according to at least one document property of the discovered document.

Abstract: A system for managing network connected devices, comprising at least one hardware processor adapted to produce a plurality of unique device descriptors, each describing one of a plurality of network connected devices, by: for each of a plurality of device descriptors, each having a plurality of supported actions, and one or more domain device identifiers, each identifier associating the device descriptor with one of a plurality of management domains: for each of the plurality of management domains not associated with the device descriptor: and instructing execution on a network connected device described by the device descriptor a domain identification query according to the descriptor's plurality of supported actions, to determine a new domain device identifier.

Abstract: As described herein, a system, method, and computer program are provided for using shared customer data and artificial intelligence to predict customer classifications. A first system of a first business entity receives an artificial intelligence model generated using output of a secure multi-party computation applied to: a first schema of first customer data stored by the first system, and a second schema of second customer data stored by a second system of a second business entity. Additionally, the first system executes the artificial intelligence model on the first customer data stored by the first system to generate a predictor, the predictor configured to receive input and process the input to predict a classification for the input. Further, the first system distributes the predictor for use by the second system of the second business entity to predict at least one classification for the second customer data.

Abstract: A method for determining a route for a drone to deliver a package from an origin to a destination using vehicles that are not actively participating in a delivery of a package; a method for delivering the package from the origin to the destination using the drone in accordance with the route; a method for determining a route for delivering a package from an origin to a destination using drones and vehicles that are not actively participating in a delivery of the package; a method for delivering the package from the origin to the destination using the drones and vehicles in accordance with the route; a vehicle-associated package repository, for retaining packages deposited and collect by a drone, to be transported by a vehicle; and a vehicle-transported container including the vehicle-associated package repository.

Abstract: A detection device monitors a communication event including communication by humans when a legitimate user accesses sensitive data for each legitimate user. The detection device builds a profile of the user indicating normal behavior when the user accesses the sensitive data by performing machine learning on a result of the monitoring. After that, the detection device acquires a communication event when a user to be authenticated accesses sensitive data. The detection device determines whether behavior of the user to be authenticated indicated in the acquired communication event corresponds to normal behavior when the user accesses the sensitive data indicated in a profile of the user, and outputs a result of the determination.

Abstract: A method, system and product including obtaining a media sample of a media stream; retrieving from a database a media record that matches the media sample of the media stream; aligning the media record with the media stream, wherein aligning the media record comprises determining an offset from a start of the media record; comparing the media stream with the media record according to the offset; and upon identifying a semantic deviation between the media stream and the media record, determining that the media stream is semantically manipulated.

Abstract: An active sensor for performing active measurements of a scene is presented. The active sensor includes at least one transmitter configured to emit light pulses toward at least one target object in the scene, wherein the at least one target object is recognized in an image acquired by a passive sensor; at least one receiver configured to detect light pulses reflected from the at least one target object; a controller configured to control an energy level, a direction, and a timing of each light pulse emitted by the transmitter, wherein the controller is further configured to control at least the direction for detecting each of the reflected light pulses; and a distance measurement circuit configured to measure a distance to each of the at least one target object based on the emitted light pulses and the detected light pulses.