Abstract: A method for evaluation of electrical propagation in the heart includes receiving a pacing signal applied to a heart of a patient, the pacing signal including a sequence of normal and shorter, abnormal, pacing stimuli. A responsive cardiac signal is received, that is sensed by electrodes at a location in the heart and on the body surface of the patient. A model response is found and annotated from evoked potentials caused by the normal pacing stimuli. A correlation is made between the model response along the different signal sections to find and calculate a normal and decremental time delays between the pacing stimuli and respectively resulting evoked potentials at a tissue location. A time difference is calculated, between the normal time delay and the decremental time delay. An EP map of at least a portion of the heart is presented to a user, with a graphical indication of the time difference presented at the tissue location.

Abstract: An apparatus is provided, where the apparatus includes a plurality of components; a first sensing system to measure first power consumed by first one or more components of the plurality of components; a second sensing system to measure second power consumed by the apparatus; an analog-to-digital converter (ADC) to generate an identification (ID) that is representative of the second power consumed by the apparatus; and a controller to allocate power budget to one or more components of the plurality of components, based on the measurement of the first power and the ID.

Abstract: Systems and methods are used to detect underlying themes from a collection of documents at an aggregated level. A representative set of documents may be selected from a cluster of documents, with the representative set of documents corresponding to a general theme of the cluster. Candidate theme phrases may then be extracted from the documents and used to generate document embeddings and candidate phrase embeddings, which may be ranked, such as with a diversity-based ranking approach. Certain candidates may be selected from the ranking. Each of the documents forming the representative set may then be concatenated and a query embedding may be generated and ranked against the candidate phrases. In this manner, a collection of phrases associated with both the general underlying theme of the cluster, along with granular topics associated with that theme, may be identified.

Abstract: A system for maintaining a Precision Time Protocol (PTP) hardware clock, the system being operative in conjunction with a network device which is external to the system, the system comprising a controller to receive information characterizing a network peer oscillator frequency, wherein the information was extracted from an RX symbol rate, and to adjust the PTP Hardware Clock's frequency responsive to the information characterizing the network peer oscillator frequency.

Abstract: There is provided a data security method, comprising: creating an interaction graph, by: analyzing collected interaction events between users and between users and files and/or records, wherein a respective node of the interaction graph represents a specific one of a user, a record, and a file, wherein a respective edge indicates an interaction between respective users or between a respective user and a respective file and/or record, wherein an interaction weight assigned to the respective edge indicates an amount of the interaction, monitoring an attempt by a target user to access a target file and/or record, computing a target interaction weight between the target user and the target file and/or record from the interaction graph, and in response to the target interaction weight being below a target threshold, at least one of: filtering security alerts, and blocking access by the target user to the target file and/or record.

Abstract: A computer implemented method for securing at least one of files and records related to a specific process, the method comprising obtaining interaction data comprising one or more persons and one or more files and/or records, said interaction data comprises a process interaction score between at least one user and the specific process; identifying, from the interaction data, one or more persons and one or more files and/or records related to the specific process; comparing a process threshold with a process interaction score between a target user and the specific process; and in response to the comparison satisfying a rule, performing a security operation on the one or more files and/or records related to the specific process.

Abstract: Systems and methods are provided for collecting anonymized drive information. A processing device may be configured to receive outputs from one or more sensors; determine at least one motion representation for the host vehicle based on the outputs; receive at least one image representative of an environment of the host vehicle; analyze the at least one image to determine at least one road characteristic associated with a road section; assemble first road segment information relative to a first portion of the road section, wherein the first portion of the road section is separated from a starting point associated with a route traveled by the host vehicle; assemble second road segment information relative to a second portion of the road section; and cause transmission of the first road segment information and the second road segment information to a server for assembly of an autonomous vehicle road navigation model.

Abstract: A first configurable address decoder can be coupled between a source node and a first interconnect fabric, and a second address decoder can be coupled between the first interconnect fabric and a second interconnect fabric. The first address decoder can be configured with a first address mapping table that can map a first set of address ranges to a first set of target nodes connected to the first interconnect fabric. The second address decoder can be configured with a second address mapping table that can map a second set of address ranges to a second set of target nodes connected to the second interconnect fabric. The second address decoder can be part of the first set of target nodes. The first address decoder and the second address decoder can be configured or re-configured to determine different routes for a transaction from the source node to a target node in the second set of target nodes via the first and second interconnect fabrics.

Abstract: A method, a programmed computer system, for example, a network-based hardware device, and a machine readable medium containing a software program for modifying a high definition video data stream in real time, with no visible delays, to add content on a frame by frame basis, thus simultaneously compositing multiple different customized linear views, for purposes such as creating and broadcasting targeted advertising in real time. The method employs conventional video processing technology in novel and inventive ways to achieve the desired objective by passing data selected by the program back and forth between a GPU and a CPU of a computer. The method is also usable with data streams having lower than high definition where real time processing is desired and yields better results than conventional methods. In such applications, all processing may be done by the CPU of a sufficiently powerful general-purpose computer.

Abstract: A first user equipment (UE) configured to receive data from a second UE over a short-range connection, wherein the data is received when an application processor of the first UE is in a lower power state, buffer the data in a buffer while the application processor of the first UE is in the lower power state and transfer buffered data from the buffer to the application processor after the application processor exits the lower power state and enters an active state.

Abstract: A method for producing light-guide optical elements (LOEs) (16, 18, 56, 58) each having a set of mutually-parallel partially-reflecting surfaces (17) located between, and oriented non-parallel to, a pair of major external surfaces, and at least one region (30a, 30b, 30c) without partially-reflecting surfaces. The method includes bonding together parallel-faced plates (4) at interfaces to form a stack (42) of plates with partially-reflecting coatings between them. The stack is cut and polished to form a boundary plane (48, 48a, 48b) intersecting the interfaces, and a block (50, 50a, 50b) of transparent material is bonded to the stack. The resulting precursor structure (52, 52?) is sliced along parallel planes to form slices, each containing a part of the stack for the active region of the LOE and a part of the block.

Abstract: Provided herein are computer implemented methods and systems for interactively teaching or improving language skills of users, by generating a visually connected sequence of images, based on various input form the user, including, a selection of a persona and activity, and a language demonstration that describes the selected activity.

Abstract: Embodiments of the present disclosure may include a method for providing adaptive speed control of an unmanned aerial vehicle (UAV) in transitions between velocities, and between accelerations, the method includes determining an initial velocity of a UAV. Embodiments may also include detecting a change in position of a control trigger. In some embodiments, the control trigger may be operable to control acceleration of the UAV. In some embodiments, the change in position of the control trigger signals a desired positive acceleration or a desired negative acceleration of the UAV. Embodiments may also include increasing or decreasing power to one or more rotors of the UAV based on the initial velocity and the detected change in position of the trigger.

Abstract: Systems and methods provide accelerated MR thermometry utilizing prior knowledge about the images to be reconstructed from incomplete k-space data, thereby facilitating accurate reconstruction. In various embodiments, missing data is computationally estimated using a machine learning algorithm such as a neural network, and an image is generated based on iteratively updated estimated missing information.

Abstract: In one embodiment, a communication system includes network devices, each comprising a network interface to receive at least one data stream, a given network device being configured to recover a remote clock from the at least one data stream received by the given network device, a frequency synthesizer to generate a clock signal and output the clock signal to each of the network devices, wherein the given network device is configured to find a clock frequency differential between the clock signal and the recovered remote clock, and provide a control signal to the frequency synthesizer responsively to the clock frequency differential, the control signal causes the frequency synthesizer to adjust the clock signal so as to iteratively reduce an absolute value of the clock frequency differential between the clock signal and the recovered remote clock.

Abstract: Systems and methods are provided for autonomous vehicle navigation. The systems and methods may map a lane mark, may map a directional arrow, selectively harvest road information based on data quality, map road segment free spaces, map traffic lights and determine traffic light relevancy, and map traffic lights and associated traffic light cycle times.

Abstract: Systems, methods, and devices that perform computing operations are provided. In one example, a system includes a least one node, the at least one node having one or more processors, each having associated memory, a clock, a scheduler, the scheduler monitoring one or more of rates, rates of lanes, rates at which packets are sent, times, latencies of packets, topology, communication states, nodes, and packets in the system, an attribute monitor that measures counters for one or more of congestion state, line rate, and communication attributes. A packet scheduler determines a destination node based on information from the scheduler and the attribute monitor, and sends at least a portion of a packet to the destination node.

Abstract: A system facilitates detection of malicious properties of software packages. A generic application which comprises known functionality into which a software package has been included is analyzed through a static analysis and/or dynamic analysis, which is performed based on executing the generic application in a controlled environment. The static analysis and/or dynamic analysis are performed to determine whether one or more properties associated with the software package comprise deviations from the known behavior of the generic application. Behavior deviations identified based on the static and/or dynamic analysis are associated with a score. An aggregate score is calculated for the software package based on the scores which have been assigned to the identified behavior deviations and may be adjusted based on a reputation multiplier determined based on metadata of the software package. If the aggregate score of the software package exceeds a score threshold, the software package is flagged as malicious.

Abstract: Systems and methods for determining properties of gemstones based, inter alia, on fluorescence properties of the gemstones, are presented. In one aspect, properties of at least one gemstone can be determined. In another aspect, a relationship between at least two gemstones can be determined. In one example, a first and a second gemstones are illuminated with illuminating light of at least one fluorescence-exciting wavelength range; corresponding at least one first fluorescence-emission light and at least one second fluorescence-emission light spectrum, emitted from the first and second gemstones respectively are detected and analyzed, either independently or by comparison, to determine the relationship between the first and second gemstones. In some examples, data indicative of visible light absorbance or three-dimensional models of the gemstones is combined with the fluorescence data to determine the properties or the relationship.

Abstract: A system and method for identifying differential diagnoses using a multi-classifier disease model. The method includes constructing the multi-classifier disease model based on at least one disease profile, wherein the multi-classifier disease model is a machine learning network of at least one disease and a plurality of health variables; extracting at least one patient health variable from input patient data, wherein the input patient data indicates a patient condition; applying the multi-classifier disease model to the at least one patient health variable to determine probabilities for the at least one disease; identifying, based on the probabilities of the at least one disease, the differential diagnoses for the input patient data; and providing the differential diagnoses.