Abstract: A batteryless device is disclosed. According to certain embodiments, the batteryless device may include a first communication system and a second communication system, the second communication system being a near-field-communication (NFC) system. The batteryless device may also include a power receiver coupled to the first communication system and configured to wirelessly receive power from an external device for powering the first communication system. The batteryless device may further include a controller configured to: when the first communication system is powered, establish, via the first communication system, a first wireless connection with a user device; receive, through the first wireless communication, a token from the user device; establish, via the second communication system, a second wireless connection with a terminal; and transmit, through the second wireless connection, the token to the terminal.

Abstract: Implementations are disclosed for selectively operating edge-based sensors and/or computational resources under circumstances dictated by observation of targeted plant trait(s) to generate targeted agricultural inferences. In various implementations, triage data may be acquired at a first level of detail from a sensor of an edge computing node carried through an agricultural field. The triage data may be locally processed at the edge using machine learning model(s) to detect targeted plant trait(s) exhibited by plant(s) in the field. Based on the detected plant trait(s), a region of interest (ROI) may be established in the field. Targeted inference data may be acquired at a second, greater level of detail from the sensor while the sensor is carried through the ROI. The targeted inference data may be locally processed at the edge using one or more of the machine learning models to make a targeted inference about plants within the ROI.

Abstract: Aspects of the disclosure provide method and apparatus for video coding. In some examples, an apparatus includes receiving circuitry and processing circuitry. The processing circuitry selects a reference line from a plurality of potential reference lines and selects an intra prediction mode from a set of potential intra prediction modes that is associated with the reference line. The processing circuitry encodes a block according to the intra prediction mode and at least one reference sample in the reference line. The processing circuitry further generates prediction information of the block. Inclusion of an indication of a reference line index of the reference line in the prediction information is based on the intra prediction mode.

Abstract: Systems and methods for classifying product feedback by an electronic device are described. According to certain aspects, an electronic device may receive consumer feedback entries associated with various products, where each entry may include an initial classification. The electronic device may analyze each entry using a machine learning model to determine a subsequent classification for the entry. When there is a mismatch between classifications, the electronic device may present information associated with the entry for review by a user, where the user may specify a final classification for the entry, and the electronic device may update the machine learning model for use in subsequent analyses.

Abstract: A system comprising a handpiece and drive system configured to removably couple to a proximal end of a housing. A scalpet assembly is configured to removeably couple to the housing, and includes a scalpet array comprising at least one scalpet configured for rotation. The scalpet array is configured to harvest dermal plugs via fractional resection. A collection chamber is configured to collect the dermal plugs, and to house formation of an injectable filler by mincing the dermal plugs, and mixing the dermal plugs with a carrier. The injectable filler is configured for bulk fill. The collection chamber includes a loading port, and a cannular syringe is configured to mate with the loading port to receive the injectable filler, and to deliver the injectable filler for the bulk fill.

Abstract: Devices, methods, and computer program products for article retrieval are provided. An example article retrieval device includes a frame and a pair of loading arms movably attached to the frame that move between a retracted position and an extended position. The device includes an engagement structure movably attached to at least one of the pair of loading arms that moves between a stored position and a deployed position. The device further includes a sensing device coupled with the pair of loading arms and a computing device operably coupled with the pair of loading arms, the at least one engagement structure, and the sensing device. The computing device causes the pair of loading arms to extend from the retracted position to a position proximate a first article and deploys the at least one engagement structure based upon sensor data generated by the sensing device.

Abstract: A method of docking an accessory device includes, at the accessory device, receiving (324) a first transmission energy for wireless charging from an electronic device; in accordance with receiving the first transmission energy: setting (326) a timer, and entering (328) a docked mode; and exiting (330) the docked mode upon expiration of the timer.

Abstract: Performing set operations using sparse matrix operations offered by a multi-core processing unit (such as a graphics processing unit). The set operation is converted into operand matrices, and sparse matrix operations, foregoing the use of hash tables. The input set is converted into a matrix, a matrix operation corresponding to the set operation is identified, and one or more operands of the set operation are also represented within a matrix. The matrix operation is then performed on these matrices to obtain an output matrix, which is then converted to an output set.

Abstract: The disclosed system may include a support structure dimensioned for a user's hand. The system may also include transmitting electrodes coupled to a first finger portion of the support structure and may further include receiving electrodes coupled to a second, different finger portion of the support structure. The system may also include a controller that is coupled to the support structure and that is communicatively connected to the transmitting and receiving electrodes. The controller may also be configured to cause the transmitting electrodes to transmit a signal, detect at least some of the transmitted signal at the receiving electrodes and, based on the detected signal, determine that at least two fingers of the user's hand are touching each other. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: One or more computing devices, systems, and/or methods are provided. A machine learning model may be trained using a plurality of sets of information. One or more pruning operations may be performed in association with the training to generate a machine learning model with sparse vector representations associated with features of the plurality of sets of information. A request for content associated with a client device may be received. A set of features associated with the request for content may be determined. A plurality of positive signal probabilities associated with a plurality of content items may be determined using the machine learning model based upon one or more sparse vector representations, of the machine learning model, associated with the set of features. A content item may be selected from the plurality of content items for presentation via the client device based upon the plurality of positive signal probabilities.

Abstract: A vertical repetition of multiple instances of a unit layer stack is formed over a substrate. The unit layer stack includes an insulating layer and a sacrificial material layer. Lateral recesses are formed by removing the sacrificial material layers selective to the insulating layers. Each lateral recess is sequentially fill with at least one conductive fill material and an insulating fill material, and vertically-extending portions of the at least one conductive fill material are removed such that a vertical layer stack including a first-type electrically conductive layer, a seamed insulating layer, and a second-type electrically conductive layer are formed in each lateral recess. Memory opening fill structures including a respective vertical stack of memory elements is formed through the insulating layers and the layer stacks. Memory openings, contact via cavities, or backside trenches may be used as access points for removing the sacrificial material layers.

Abstract: In accordance with an embodiment, a circuit includes: a trimmable reference current generator having a temperature dependent current output node, the trimmable reference current generator including: a proportional to absolute temperature (PTAT) current generation circuit; a first programmable current scaling circuit coupled to the PTAT current generation circuit and including a first output coupled to the temperature dependent current output node; a constant current generation circuit; a second programmable current scaling circuit coupled to the constant current generation circuit and including a first output coupled to the temperature dependent current output node; and a reference interface circuit having an input coupled to the temperature dependent current output node and an output configured to be coupled to a reference current input of a memory sense amplifier.

Abstract: A computer-implemented method is described. The method includes a computing system receiving an item of digital content from a user device. The computing system generates one or more labels that indicate attributes of the item of digital content. The computing system also generates one or more conversational replies to the item of digital content based on the one or more labels that indicate attributes of the item of digital content. The method also includes the computing system selecting a conversational reply from among the one or more conversational replies and providing the conversational reply for output to the user device.

Abstract: A meltblown nonwoven formed from a bicomponent fiber, wherein: the bicomponent fiber has a first region and a second region, the first region is formed from a first composition comprising at least 75 wt. % of a polypropylene; the second region is formed from a second composition comprising at least 75 wt. % of an ethylene/alpha-olefin interpolymer.

Abstract: New, improved or optimized battery separators, components, batteries, industrial batteries, inverter batteries, batteries for heavy or light industrial applications, forklift batteries, float charged batteries, inverters, accumulators, systems, methods, profiles, additives, compositions, composites, mixes, coatings, and/or related methods of water retention, water loss prevention, improved charge acceptance, production, use, and/or combinations thereof are provided or disclosed. More particularly, the present invention is directed to one or more improved battery separators having various improvements that may result in decreased water loss for a battery in which such a separator is incorporated, enhanced charge acceptance, or combinations thereof.

Abstract: A container assembly includes a container (or cup) and a lid, and functions as a training cup assembly. The lid activates by a force applied by the user of the cup in order to withdraw fluid from inside the cup volume. The training cup feature permits removal of the contents from the cup while mitigating against leaks and/or spills.

Abstract: Aspects described herein may allow for the application of stochastic gradient boosting techniques to the training of deep neural networks by disallowing gradient back propagation from examples that are correctly classified by the neural network model while still keeping correctly classified examples in the gradient averaging. Removing the gradient contribution from correctly classified examples may regularize the deep neural network and prevent the model from overfitting. Further aspects described herein may provide for scheduled boosting during the training of the deep neural network model conditioned on a mini-batch accuracy and/or a number of training iterations. The model training process may start un-boosted, using maximum likelihood objectives or another first loss function.

Abstract: Systems and methods for providing a universal platform for at-home health testing and diagnostics are provided herein. In particular, a health testing and diagnostic platform is provided to connect medical providers with patients and to generate a unique, private testing environment. In some embodiments, the testing environment may facilitate administration of a medical test to a patient with the guidance of a proctor. In some embodiments, the patient may be provided with step-by-step instructions for test administration by the proctor within a testing environment. The platform may display unique, dynamic testing interfaces to the patient and proctor to ensure proper testing protocols and accurate test result verification.

Abstract: In a method of video decoding, coded information of a current block is received. First information associated with the current block in the coded information is obtained. The first information indicates whether the current block is intra predicted based on decoder side intra mode derivation (DIMD). Second information associated with the current block in the coded information is obtained. The second information indicates whether the current block is partitioned based on an intra sub-partition (ISP) mode. A context model index is determined in response to one of (i) the first information indicating that the current block is intra predicted based on the DIMD, and (ii) the second information indicating that an above adjacent block or a left adjacent block of the current block is partitioned based on the ISP mode. The current block is decoded from the coded video stream based at least on the context model index.