Abstract: A computer implemented method implemented with a processor for assigning a unique identifier for a data item initially deployed at a node of a networked environment includes determining a unique node identifier for the node of the networked environment, atomically modifying a local counter value at the node of the networked environment, and appending the unique node identifier to the atomically modified local counter value at the node of the networked environment to form a unique ID for the data item.

Abstract: A gaming device for awarding a beverage to a player playing a wagering game. A display displays a graphical representation of a complimentary item or service. A game controller controls play of the wagering game and randomly determines an amount of the complimentary item or service to be graphically added to the displayed complimentary item or service in response to a play of the wagering game. An output mechanism awards the complimentary item or service when the graphical representation of the complimentary item or service is completely accumulated and activated by the player.

Abstract: An inspection system may receive inspection datasets from a defect inspection system associated with inspection of one or more samples, where an inspection dataset of the plurality of inspection datasets associated with a defect includes values of two or more signal attributes and values of one or more context attributes. An inspection system may further label each of the inspection datasets with a class label based on respective positions of each of the inspection datasets in a signal space defined by the two or more signal attributes, where each class label corresponds to a region of the signal space. An inspection system may further segment the inspection datasets into two or more defect groups by training a classifier with the values of the context attributes and corresponding class labels for the inspection datasets, where the two or more defect groups are identified based on the trained classifier.

Abstract: An apparatus, system and method for protecting the confidentiality and integrity of a secure object running on a computer system by protecting the memory pages owned by the secure object, including assigning a secure object an ID, labeling the memory pages owned by a secure object with the ID of the secure object, maintaining an Access Control Monitor (ACM) table for the memory pages on the system, controlling access to memory pages by monitoring load and store instructions and comparing information in the ACM table with the ID of the software that is executing these instructions; and limiting access to a memory page to the owner of the memory page.

Abstract: An aspect includes a direct digital synthesis system including a waveform generator with a waveform memory operable to store a plurality of waveform vectors and output a selected waveform vector. The direct digital synthesis system also includes a digital-to-analog converter operable to convert the selected waveform vector from a digital value to an analog signal responsive to a reference clock. The direct digital synthesis system further includes a controller operable to maintain phase continuity of the analog signal when an output of the analog signal is interrupted and restored.

Abstract: In accordance with some embodiments, systems, methods and media for determining object motion in three dimensions using light field image data are provided. In some embodiments, a system for three dimensional motion estimation is provided, comprising: an image sensor; optics that create many images of a scene; and a hardware processor configured to: cause the image sensor to capture a first plurality of images; generate a first light field; cause the image sensor to capture a second plurality of images at a second time; generate a second light field; calculate light field gradients using the first light field and second light field; and calculate, for each point in the scene, three dimensional motion using the light field gradients by applying a constraint to the motion in the scene.

Abstract: The present invention relates generally to genetically modified non-human animals and immunodeficient non-human animals characterized by restored complement-dependent cytotoxicity, as well as methods and compositions for assessment of therapeutic antibodies in the genetically modified immunodeficient non-human animals. In specific aspects, the present invention relates to immunodeficient non-obese diabetic (NOD), A/J, A/He, AKR, DBA/2, NZB/BIN, B10.D2/oSn and other mouse strains genetically modified to restore complement-dependent cytotoxicity which is lacking in the unmodified immunodeficient mice. In further specific aspects, the present invention relates to NOD.Cg-Prkdcscid IL2rgtm1Wjl/SzJ (NSG), NOD.Cg-Rag1tm1Mom IL2rgtm1Wjl/SzJ (NRG) and NOD.Cg-Prkdcscid IL2rgtm1Sug/JicTAc (NOG) mice genetically modified to restore complement-dependent cytotoxicity which is lacking in unmodified NSG, NRG and NOG mice.

Abstract: One or more computing devices, systems, and/or methods for presenting augmented reality (AR) experiences and/or sharing AR objects are provided. For example, a request to initiate an AR experience may be received from a device associated with an email account. A real time view of a camera of the device may be displayed using an AR interface, where a set of AR objects are overlaid onto the real time view of the camera. An edited set of AR objects may be generated based upon one or more inputs corresponding to one or more edits to the set of AR objects. The edited set of AR objects may be overlaid onto the real time view of the camera. An email comprising the edited set of AR objects may be transmitted to one or more email accounts responsive to receiving a second request to share the edited set of AR objects.

Abstract: One or more computing devices, systems, and/or methods for determining activity patterns based upon user activity and/or performing operations based upon the activity patterns are provided. For example, activity performed using a communication interface associated with a user account may be detected. The activity may be analyzed to determine an activity pattern associated with a first set of conditions. The activity pattern may be stored in a user profile associated with the user account. The user profile may comprise a plurality of activity patterns. Each activity pattern of the plurality of activity patterns may be associated with a set of conditions of a plurality of sets of conditions. It may be determined that the first set of conditions are met. Responsive to determining that the first set of conditions are met, one or more operations associated with the activity pattern may be performed.

Abstract: A circuit is provided. The circuit includes a sampling circuit connectable to a multibit memory array and that samples a voltage across a sampling capacitor, a capacitance network including a plurality of capacitors and switching elements such that the capacitance network has a capacitance that depends on the configuration of the switching elements, and a buffering circuit configured to charge the capacitance of the capacitance network based on the voltage across the sampling capacitor. The circuit is configured to operate the capacitance network in a first state and a second state, wherein the capacitance in the states depends on an input value to the circuit. The circuit is also configured to charge the capacitance network in the first state and to allow the charge to redistribute within the capacitance network when it changes from the first to the second state. A system and method including such circuits are also provided.

Abstract: A prober head to interface an E-testing apparatus to a device under test, which may be an unpackaged die, for example. In some embodiments, the prober head includes an array of conductive pins, each of the pins extending outwardly from a first pin end anchored to a substrate. At least a partial length of each of the pins is coated with a hydrophobic monolayer. The conductive pins may be composite metal wires including a core metal encased by one or more peripheral metal. At a tip of the pins, opposite the first pin end anchored to the substrate, the peripheral metals are recessed from the core metal. In further embodiments, the hydrophobic monolayer is disposed on an outer surface of the peripheral metals, but is substantially absent from a surface of the core metal exposed at the tip.

Abstract: The disclosed technology relates generally to magnetic random access memory, and more particularly to spin-orbit-torque (SOT) magnetoresistive random access memory (MRAM). According to an aspect, a MRAM device comprises a first transistor, a second transistor, and a resistive memory element. The resistive memory element comprises a magnetic tunnel junction (MTJ) pillar arranged between a top electrode and bottom electrode having a first terminal and a second terminal. According to another aspect, a method of using the MRAM device is disclosed.

Abstract: Exemplary embodiments include a system having a first wireless audio output device configured to connect to a source device via a first piconet and a second wireless audio output device configured to connect to the first wireless audio output device via a second piconet. A schedule of the first piconet includes a plurality of slots associated with an audio packet, a first subset of the slots used by the source device to transmit the audio packet, the first and second wireless audio output devices tuning to the first piconet to listen for the transmissions of the audio packet, and when, after a last one of the first subset of slots, the first or second wireless audio output devices did not receive the audio packet, the first and second wireless audio output devices exchange information via the second piconet such that the both wireless audio output device receive the audio packet.

Abstract: A system detecting counterfeit items based on machine learning and analysis of visual and textual data is disclosed. The system may comprise a data access interface to receive product data associated with a protected product from a user device. The product data may comprise multimodal data that describes the protected product. The system may also comprise a search term generator to generate search terms based on the received product data. The system may comprise a processor to identify one or more potential counterfeit items from the at least one web source using a crawling technique to obtain data associated with to similar products from the at least one web source, identifying at least one match for similar products, and using image processing and analysis to determine if the at least one match for similar products comprises at least one or more potential counterfeit items.

Abstract: Systems, methods, and media for performing shape measurement are provided. In some embodiments, systems for performing shape measurement are provided, the systems comprising: a projector that projects onto a scene a plurality of illumination patterns, wherein each of the illumination patterns has a given frequency, each of the illumination patterns is projected onto the scene during a separate period of time, three different illumination patterns are projected with a first given frequency, and only one or two different illumination patterns are projected with a second given frequency; a camera that detects an image of the scene during each of the plurality of periods of time; and a hardware processor that is configured to: determine the given frequencies of the plurality of illumination patterns; and measure a shape of an object in the scene.

Abstract: Provided herein are isotopologues of Compound A, which are enriched with isotopes such as, for example, deuterium. Pharmaceutical compositions comprising the isotope-enriched compounds, and methods of using such compounds are also provided.

Abstract: A control circuit obtains a first set of rules that define a conveyability range for containers as a function of conveyability constraints pertaining to an intermediary distribution facility. The control circuit also accesses conveyability constraint information for the intermediary distribution facility and generates a conveyability range for that facility by evaluating the constraint information against the first set of rules. The control circuit obtains a second set of rules that define an objective function that uses the conveyability range as a constraint to determine an optimal container pack size for the given item. (By one approach these teachings will also accommodate using at least two additional constraints, such as a so-called days-of-supply (DOS) constraint and a so-called pack-and-a-half constraint.) The control circuit then generates an optimal container pack size for the given item by evaluating the objective function against the conveyability range (and other selected constraints).

Abstract: One or more computing devices, systems, and/or methods for performing entity actions based upon inputs received via email interfaces are provided. For example, an email received by an email account may be identified. The email may be associated with an entity action corresponding to a first entity. A selectable input corresponding to performing the entity action may be displayed via an email interface associated with the email account. A request to perform the entity action may be received via a selection of the selectable input. Responsive to receiving the request, an action interface corresponding to performing the entity action may be displayed within the email interface. One or more inputs associated with the entity action may be received via the action interface. Responsive to determining that the entity action is completed, a confirmation message, indicative of the entity action being completed, may be displayed using the email interface.

Abstract: As disclosed, f-scores can be generated for apparel items. Training images are identified, where each training image is associated with a corresponding set of tags including information about a plurality of attributes. A first convolutional neural network (CNN) is trained based on the plurality of training images and a first attribute. The first CNN is iteratively refined by, for each respective attribute, removing a set of neurons from the first CNN and retraining the first CNN based on the training images and the respective attribute. Upon determining that the first CNN has been trained based on each of the attributes, one or more CNNs are generated based on the first CNN. An image is received, where the image depicts an apparel item. The image is processed using the one or more CNNs, and an f-score for the apparel item is determined based on the output.