Abstract: A tool navigation system employing an ultrasound probe, an ultrasound scanner, an interventional tool, a tool tracker and an image navigator. In operation, the ultrasound probe generates an acoustic image plane for scanning an anatomical region, and the ultrasound scanner generates an ultrasound image of the anatomical region from a scan of the anatomical region. During the scan, the interventional tool is navigated within the anatomical region relative to the acoustic image plane, and the tool tracker a tracks of a position of the interventional tool relative to the acoustic image plane. The image navigator displays a graphical icon within the ultrasound image for illustrating a tracking of the interventional tool relative to the acoustic image plane.

Abstract: The techniques disclosed herein improve existing systems by rendering a first user interface (UI) on a device of a member in a defined group, including messages being communicated between the defined group of users of the communication session. A selection of a message set including a subset of the messages of the defined group is received for corresponding with a non-member user who is not a member of the defined group. The selected message set is delivered to the non-member user. A second UI is rendered including the selected message set and subsequent messages exchanged between the non-member user and a subset of the users in the defined group directed to the selected message set. Full access is not provided to other subsequent messages in the defined group not directed to the selected message set. Subsequent messages exchanged between the non-member user and the defined group are rendered. The subsequent messages are rendered in context of messages prior to the selected message.

Abstract: System (10) for determining a position of an interventional device (11) respective an image plane (12) defined by an ultrasound imaging probe (13). The position is determined based on ultrasound signals transmitted between the ultrasound imaging probe (13) and an ultrasound transducer (15) attached to the interventional device (11). An image reconstruction unit (IRU) provides a reconstructed ultrasound image (RUI). A position determination unit (PDU) computes a position (LAPTOFSmax, ?IPA) of the ultrasound transducer (15) respective the image plane (12). The position determination unit (PDU) indicates the computed position (LAPTOFSmax, ?IPA) in the reconstructed ultrasound image (RUI). The position determination unit (PDU) suppresses the indication of the computed position (LAPTOFSmax, ?IPA) under specified conditions relating to the computed position (LAPTOFSmax, ?IPA) and the ultrasound signals.

Abstract: Disclosed concepts relate to presenting interconnected animations in an object display interface that indicate dynamic events for related objects. A platform presents an interface that includes tiles for objects that belong to object sets (e.g., a non-fungible token (NFT) collection, a set of numbered items, a limited sneaker line). Each tile includes information individually specific to a corresponding object. A platform monitors for event data that results in a change to an aggregate parameter (e.g., a floor price, an event rate) for a given object set or that specifies one or more individual events for objects belonging to the given object set. Based on detecting the event data, the platform dynamically presents animations on certain tiles corresponding to objects of the given object set, and the animations indicate the change to the aggregate parameter or indicate the individual events. Contextual and multi-level information is thus conveyed without significant visual clutter.

Abstract: A wireless client device communicates, to an access point over a secure channel, a mapping of a dynamic device address to a stable device address. By communicating the mapping, the access point is able to determine that packets received from two different device addresses originate from a common device. The access point is then able to maintain an association between the originating device and other network resources assigned or allocated to the originating device, such as IP addresses or infrastructure station address, which is used to identify the originating device to other devices outside the network in some embodiments.

Abstract: Systems and methods are provided for a memory device. A memory device includes a memory array, a column selection circuit coupled to the memory array, where the column selection circuit is configured to generate a column selection signal, and a sense amplifier configured to receive data signals from the memory array. An enable signal generating circuit is configured to generate a first enable signal and a second enable signal. The column selection circuit generates the column selection signal based on the first enable signal, and the sense amplifier is configured to receive a data signal from the memory array in response to the second enable signal.

Abstract: Disclosed herein is digital object generator that makes uses a one-way function to generate unique digital objects based on the user specific input. Features of the input are first extracted via a few-shot convolutional neural network model, then evaluated weight and integrated fit. The resulting digital object includes a user decipherable output such as a visual representation, an audio representation, or a multimedia representation that includes recognizable elements from the user specific input.

Abstract: Disclosed herein is digital object generator that makes uses a one-way function to generate unique digital objects based on the user specific input. Features of the input are first extracted via a few-shot convolutional neural network model, then evaluated weight and integrated fit. The resulting digital object includes a user decipherable output such as a visual representation, an audio representation, or a multimedia representation that includes recognizable elements from the user specific input.

Abstract: Methods, apparatus and articles of manufacture to implement frameworks for training of federated learning models are disclosed. Example apparatus disclosed herein are to cause transmission of a first query to a first worker node of a plurality of worker nodes, the first query based on constraints to train a machine learning model. Disclosed example apparatus are also to cause transmission of a second query to a second worker node of the plurality of worker nodes, the second query based on the constraints. Disclosed example apparatus are further to cause transmission of a third query to the first worker node based on comparison of a first score from the first worker node to a second score from the second worker node, the third query instructing the first worker node to train the machine learning model.

Abstract: Amorphous solid dispersions of nilotinib fumarate or nilotinib tartrate are provided, as well as pharmaceutical compositions thereof, wherein the compositions exhibit enhanced bioavailability in the fasted state. Preferably, the compositions may be orally administered to a patient in either the fed or fasted state, with a decrease or elimination of the food effect. Preferably, following oral administration of the pharmaceutical compositions, there is no substantial difference in the pharmacokinetic parameters (e.g., Cmax, AUC0-t and/or AUC0-infinity) of nilotinib, regardless of whether the pharmaceutical compositions are administered to a subject in the fed or fasted state.

Abstract: This application discloses a computing system implementing a design verification tool to perform functional verification on a circuit design describing an electronic device and collect samples of performance data during the functional verification. The computing system can also include a performance visualization tool to generate a profile presentation based on the samples of performance data. The profile presentation, when displayed, can annunciate portions of the circuit design corresponding to at least one performance hotspot. The performance visualization tool can receive a data reduction request based on the performance hotspot annunciated by the profile presentation. The data reduction request can identify a subset of the performance data in the profile presentation. The performance visualization tool can generate a refined profile presentation based, at least in part, on the samples of performance data and the subset of the performance data identified in the data reduction request.

Abstract: Systems and techniques are generally described for semantically segmenting videos. In various examples, a selection of a first video may be received. A first query to segment the first video into segments related to a first category of content may be received. A first plurality of segments related to the first category may be determined. In some examples, time code data representing the first plurality of segments may be sent to a remote computing device, wherein a video player of the remote computing device is effective to play the first plurality of segments based at least in part on the time code data.

Abstract: A sensor device includes a flexible planar strip with a plurality of layers is described. The flexible planar strip is configured to at least partially encapsulate a medical device. The flexible planar strip includes a first dielectric layer, a second dielectric layer, and a patterned conductive layer including a sensor electrode disposed on the second dielectric layer. According to one aspect an ultrasound sensor including a piezoelectric polymer. The ultrasound sensor is disposed on the sensor electrode such that a first surface of the ultrasound sensor is in electrical contact with the sensor electrode and such that a second surface of the ultrasound sensor is exposed for making electrical contact with a medical device.

Abstract: Keyword bids determined from sparse data are described. Initially, a portfolio optimization platform identifies which keywords included in a portfolio of keywords are low-impression keywords. This platform trains a machine learning model to generate bids for the low-impression keywords with historical data from a search engine. In particular, the platform trains this machine learning model according to an algorithm suited for training with sparse amounts of data, e.g., a temporal difference learning algorithm. In contrast, the platform uses different models, trained according to different algorithms than the low-impression keyword model, to generate bids for keywords determined not to be low-impression keywords. Once the low-impression keyword model is trained offline, the platform deploys the model for use online to generate actual bids for the low-impression keywords and submits them to the search engine.

Abstract: Various embodiments for dynamically generating an advertisement in a video stream are disclosed. In one embodiment, video stream content associated with a video stream for a user device is received. Video analytics data is obtained for the video stream content, which indicates a scene recognized in the video stream content. An advertisement to be generated and inserted into the video stream content is then selected based on the scene recognized in the video stream content, and an advertisement template for generating the selected advertisement is obtained. Video advertisement content corresponding to the advertisement is then generated based on the advertisement template and the video analytics data. The video advertisement content is then inserted into the video stream content, and the modified video stream content is transmitted to the user device.

Abstract: A system and method provide a trained model that uses vectorized word embeddings that are averaged or summed to form representations for sentences and phrases. The representations are processed in a Siamese neural network including multiple LSTM stages to find semantically related matches in catalogs for non-catalog queries. The model is trained using catalog data and randomized data using a contrastive loss function to generate similarity metrics for catalog-non-catalog pairs.

Abstract: A clock and data recovery device that includes a first phase detector, a pulse filter, a charge pump, a loop filter and a voltage-controlled oscillator is introduced. The first phase detector generates a first phase state signal according to a data signal and a first output signal. The pulse filter adjusts the first phase state signal according to a capacitance of a loop capacitor to generate a filtered signal. The charge pump generates a pumping signal according to the filtered signal. The loop filter generates a control signal according to the pumping signal. The voltage-controlled oscillator generates a second output signal and adjust a frequency of the second output signal according to the control signal, wherein the first output signal is generated according to the second output signal.

Abstract: Techniques are provided that rotate a device address used to identify a wireless client device on a wireless network. The wireless client device and at least one network infrastructure component identify a plurality of device addresses associated with the wireless client device. In some embodiments, the plurality of device addresses are generated via a corresponding plurality of invocations of a stateful random number generator, such as a cryptographically secure pseudorandom number generator.

Abstract: Disclosed herein are related to reducing power consumption of a memory device when transitioning from a sleep state to an operational state. In one aspect, the memory device includes a memory cell to store data. In one aspect, the memory device includes an output driver configured to: generate an output signal indicating the stored data, in response to a sleep tracking signal indicating that the memory cell is in the operational state, and generate the output signal having a predetermined voltage irrespective of the stored data, in response to the sleep tracking signal indicating that the memory cell is in the sleep state. In one aspect, the sleep tracking signal is delayed from a sleep control signal causing the memory cell to operate in the sleep state or the operational state.

Abstract: A method includes receiving a value and an identifier from a first memory and hashing the identifier to produce a memory block identifier. The method also includes routing, based on the memory block identifier, a read request to a memory block of a plurality of memory blocks and updating the value received from the first memory based on a property received from the memory block in response to the read request. The memory further includes storing the updated value in the first memory.