Abstract: Systems, methods, models, and training data for models are discussed, for determining vehicle positioning, and in particular identifying tailgating. Simulated training images showing vehicles following other vehicles, under various conditions, are generated using a virtual environment. Models are trained to determine following distance between two vehicles. Trained models are used to in detection of tailgating, based on determined distance between two vehicles. Results of tailgating are output to warn a driver, or to provide a report on driver behavior.

Abstract: Various embodiments include a camera with folded optics and lens shifting capabilities. Some embodiments include voice coil motor (VCM) actuator arrangements to provide autofocus (AF) and/or optical image stabilization (OIS) movement. Some embodiments include suspension arrangements. The suspension arrangements may include leaf springs attached to a carrier structure for the lens.

Abstract: Provided herein are methods of treating nalbuphine-treatable disorders in a hepatically impaired patient.

Abstract: Various examples are directed to systems and methods for implementing an Application Programming Interface (API) gateway. The API gateway may receive an API call directed to an exposed API associated with a backend system. The API gateway may execute a trained computerized model based at least in part on the API call, and at least in part on API call contextual data associated with the API call. The API gateway may determine a routing action for the API call based at least in part on an output of the trained computerized model perform the routing action for the API call.

Abstract: System and techniques to facilitate the translation of a sign language into another language are described herein. A modular architecture may be used in which the output of different classifiers may be used to produce intermediate representations, or final translations, of the sign language. These classifiers may be trained on different types of signs to enhance accuracy while reduce training time and complexity.

Abstract: Customization of deep learning models for accelerators of multiplication and accumulation operations. Based on a type of an accelerator to be used to implement the computation of an artificial neural network, a weight matrix of an artificial neural network can be adjusted, during training or via re-training, based on energy consumption characteristics of the type of accelerators. Patterns of weights that can consume more energy in computations implemented via the accelerator can be suppressed via penalizing by a loss function during training, or via pruning and re-training. The adjusted weight matrix can be configured in a computing device having an accelerator of the type. When the computing device performs computations of the artificial neural network using the weight matrix, the accelerator can be used to accelerate multiplication and accumulation operations involving the weight matrix.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for processing, understanding, and defining media content. An example process can include receiving metadata corresponding to a media stream requested for playback by an application on a media device, wherein the media stream includes a plurality of media content items; determining, based on the metadata, one or more playback properties associated with the plurality of media content items within the media stream; identifying, based on the one or more playback properties, at least one targeted media content item from the plurality of media content items; determining a playback time for the at least one targeted media content item; and obtaining, during the playback time, a fingerprint corresponding to the at least one targeted media content item.

Abstract: In some implementations, the techniques described herein relate to a method including: (i) accessing, by a processor, a plurality of messages for a user, (ii) analyzing, by a large language model executed by the processor, the plurality of messages to extract a context of each message, (iii) determining, by the processor, a current context of interest to the user, (iv) identifying, by the processor, a subset of the plurality of messages that each comprises a context related to the current context of interest to the user, and (v) causing display, by the processor, of the subset of the plurality of messages in a digital message inbox.

Abstract: The present disclosure provides systems and methods for processing channel structures of substrates that include positioning the substrate in a first processing chamber having a first processing volume. The substrate includes a channel structure with high aspect ratio features having aspect ratios greater than about 20:1. The method includes forming a silicon-containing layer over the channel structure to a hydrogen-or-deuterium plasma in the first processing volume at a flow rate of about 10 sccm to about 5000 sccm. The substrate is maintained at a temperature of about 100° C. to about 1100° C. during the exposing, the exposing forming a nucleated substrate. Subsequent to the exposing a thermal anneal operation is performed on the substrate.

Abstract: The disclosed subject matter relates generally to display technology, including but not limited to methods and systems for providing knowledge-based media content recommendations, displaying a unified user interface with content-based media recommendations, mixing multiple media content items to be displayed on a focus area, and/or casting controlled media content associated with a network-connected television device. More particularly, the disclosed subject matter relates to displaying a unified user interface having tabbed interfaces in which upcoming media content items from multiple content providers can be displayed in one of the tabbed interfaces.

Abstract: Methods, apparatuses, or computer program products that provide predictive inferences related to a graph representation of data via deep learning are disclosed herein. In some examples, graph data of a graphical data structure is transformed into a graph feature set, a deep learning model is applied to the graph feature set to generate a graph embedding structure for a portion of the graph data associated with a user identifier, and the graph embedding structure is provided to one or more machine learning models configured to generate one or more predictive inferences related to the graph data.

Abstract: In various examples, content is generated using a first programming language and transpiled to generate transpiled content in a second programming language. In addition, in such examples, substitution data is generated based on personalization data. Furthermore, in one example, the transpiled content and the substitution data are provided to a delivery agent to render or otherwise deliver personalized content to a set of recipients.

Abstract: There is disclosed in one example an enrollment over secure transport (EST)-capable gateway device, including: a hardware platform including a processor and a memory; a first network interface to communicatively couple to an external network, including an external DNS server; a second network interface to communicatively couple to a home network; a caching DNS server including a local DNS cache, and logic to provide DNS services to the home network; and an EST proxy to authenticate to a local endpoint on the home network, provision a DNS server certificate on the local endpoint, provision an authentication domain name (ADN) on the local endpoint, and provide encrypted domain name system (DNS) services to the local endpoint.

Abstract: A method for intelligently sharing a content by an electronic device is provided. The method includes determining, by the electronic device, a context of sharing the content. The method includes analyzing, by the electronic device, the content with reference to the context. The method includes identifying, by the electronic device, portions of the content as non-shareable based on the analysis. The method includes providing, by the electronic device, a modification action suggestion on the portions identified as non-shareable.

Abstract: An apparatus for generating annotations for electronic records is disclosed. The apparatus includes a processor and a memory containing instructions configuring the processor to receive unstructured data for a plurality of electronic records and generate a plurality of machine learning models (MLMs), wherein each MLM of the plurality of MLMs is trained using a machine learning algorithm. The processor is further configured to generate at least one annotation for the unstructured data using each MLM of the plurality of MLM and structure the unstructured data as structured data as a function of the generated annotations.

Abstract: A method for generating decoy and signal pulses for a Decoy differential phase shift (DDPS) quantum key distribution (QKD) protocol includes emitting laser light from a laser source and modulating intensity of the laser light using at least one intensity modulator. The intensity of the laser light is modulated to generate the decoy pulses having a first mean photon number (MPN) and the signal pulses having a second MPN greater than the first MPN. The first and second MPNs are associated with the operation of the at least one intensity modulator operable based on a first quantum random number generator (QRNG). The method further includes modulating phase of the decoy and signal pulses using a phase modulator operable based on a second QRNG, and attenuating the modulated decoy and signal pulses, using at least one attenuator, for being transmitted under the DDPS QKD protocol.

Abstract: The present disclosure relates generally to techniques for processing asynchronous queries across multiple data cores including secondary data cores stored in the secondary storage system in a distributed computing system. Data from secondary data cores are recovered to new data cores generated in the data plane in order to be accessible for searching. Using this technique, asynchronous queries are run in parallel allowing the client to dynamically manage the queries and receive notifications when results are available.

Abstract: Producing an ordered graphitic carbon includes contacting a material including disordered elemental carbon and a metal with chlorine gas, thereby yielding a gaseous product comprising a chloride of the metal and a solid product comprising the ordered graphitic carbon.

Abstract: Some embodiments include a camera voice coil motor (VCM) actuator configured to shift a lens and/or an image sensor along multiple axes. The VCM actuator may include a bottom flexure and a top flexure that connect one or more dynamic members to one or more static members. The VCM actuator may include stationary magnets and coils held by dynamic members. In some cases, the VCM actuator may be configured to move the image sensor along an optical axis, to move the image sensor in directions orthogonal to the optical axis, and/or to tilt the image sensor relative to the orthogonal axis. In some examples, the VCM actuator may be configured to move the image sensor in directions orthogonal to the optical axis, to move the lens along the optical axis, and/or to tilt the lens relative to the optical axis.

Abstract: Embodiments herein are directed to methods of forming titanium nitride films suitable for use as a bulk fill material for conductive features in a semiconductor device, such as for capacitor electrodes and/or buried word lines in a dynamic random-access memory (DRAM) device. In one embodiment, a method of forming conductive features in a semiconductor device is provided. The method includes thermally treating a substrate surface comprising at least portions of a titanium nitride layer in the presence of hydrogen radicals. Thermally treating the substrate includes positioning the substrate in a processing volume of a processing chamber, heating the substrate to a treatment temperature of more than about 250° C., generating the hydrogen radicals using a remote plasma source fluidly coupled to the processing volume, and maintaining the substrate at the treatment temperature while concurrently exposing the at least portions of the titanium nitride layer to the generated hydrogen radicals.