Abstract: Examples techniques to control access to sensors of computing devices are described. In an example, a request to access a data of a first sensor is received. A physical condition defined for permitting access to the data of the first sensor is determined via a second sensor. The access to the data of the first sensor is controlled based on the physical condition.

Abstract: The present invention provides for a polymer composition comprising a carboxylic acid-containing polymer (CP) and an amino-containing polymer (AP). The CP and the AP are capable of crosslinking to each other through ionic interaction of the carboxylic acid and amino functional groups. The CP and the AP can be unlinked by increasing the pH of the polymer composition to about pH 13.

Abstract: A control system of a vehicle includes: a target speed module configured to, using a parametric driver model and based on first driver parameters, second driver parameters, and vehicle parameters, determine a target vehicle speed trajectory for a future predetermined period; a driver parameters module configured to determine the first driver parameters based on conditions within a predetermined distance in front of the vehicle; and a control module configured to adjust at least one actuator of the vehicle based on the target vehicle speed trajectory and a present vehicle speed.

Abstract: In one example, a device may include a transceiver to receive a signal at a first transmit power from an access point via a wireless network connection. The first transmit power may be based on a feedback received signal strength indicator (RSSI) value. Further, the device may include a noise detection unit to determine device noise generated in the device and a signal-to-noise ratio (SNR) monitoring unit to determine that an SNR value associated with the wireless network connection falls below a threshold due to the device noise. Furthermore, the device may include a control unit to modify the feedback RSSI value upon determining that the SNR value falls below the threshold and transmit the modified feedback RSSI value to the access point via the transceiver.

Abstract: Operating a subject vehicle equipped with an adaptive cruise control system includes setting initial states for control parameters, including setting a desired vehicle speed and determining a desired following gap range, wherein the desired following gap range is associated with a lead vehicle. Operation is controlled via the adaptive cruise control system based upon the initial states for the control parameters. Operation also includes monitoring for presence of the lead vehicle. Upon detecting presence of the lead vehicle, an actual following gap is determined between the subject vehicle and the lead vehicle, and the initial states of the control parameters associated with the adaptive cruise control system are adjusted based upon the actual following gap between the subject vehicle and the lead vehicle, and the desired following gap range. Operation is controlled via the adaptive cruise control system based upon the adjusted initial states of the control parameters.

Abstract: The present disclosure relates to a fashion recommendation system that employs a task-guided learning framework to jointly train a visually-aware personalized preference ranking network. In addition, the fashion recommendation system employs implicit feedback and generated user-based triplets to learn variances in the user's fashion preferences for items with which the user has not yet interacted. In particular, the fashion recommendation system uses triplets generated from implicit user data to jointly train a Siamese convolutional neural network and a personalized ranking model, which together produce a user preference predictor that determines personalized fashion recommendations for a user.

Abstract: Methods to optimize solvent use in solvent-dominated processes for recovery of hydrocarbons. Methods include injecting a solvent composition into a reservoir at a pressure above a liquid/vapor phase change of the solvent composition; injecting a chaser into the reservoir at a pressure above the liquid/vapor phase change of the solvent composition; allowing the solvent composition to mix with hydrocarbons in the reservoir and at least partially dissolve into the hydrocarbons to produce a solvent/hydrocarbon mixture; reducing the pressure in the reservoir below the liquid/vapor phase change pressure of the solvent composition thereby flowing at least a fraction of the solvent/hydrocarbon mixture from the reservoir; and repeating these steps as required.

Abstract: A fault diagnostic system includes: memory including a fault model, the fault model including: a plurality of failure modes of a vehicle; and symptoms respectively associated with each of the failure modes; an updating module configured to: based on a data set, determine a new failure mode that is not already included in the fault model and new symptoms indicative of the occurrence of the new failure mode; modify the fault model by: adding the new failure mode to the fault model; and adding the new symptoms to the fault model in association with the new failure mode; and re-save the fault model in the memory.

Abstract: An example apparatus includes a camera cover connected to a housing; a linkage mechanism actuated by the camera cover; and a camera connected to the linkage mechanism. The camera is retained in the housing during a fingerprint-sensing mode. The camera is to extend above the camera cover in a media-capturing mode via the linkage mechanism based on a sliding movement of the camera cover. A light source may be provided under the camera cover to emit light. A lens may direct the light towards the camera cover. The camera cover may be transparent to permit the light to be directed towards a fingerprint positioned over the camera cover. The camera may be positioned under the camera cover to capture an image of the fingerprint. The camera cover may be positioned to retain the camera under the camera cover prior to slidable movement of the camera cover.

Abstract: The present disclosure includes methods and systems for generating captions for digital images. In particular, the disclosed systems and methods can train an image encoder neural network and a sentence decoder neural network to generate a caption from an input digital image. For instance, in one or more embodiments, the disclosed systems and methods train an image encoder neural network (e.g., a character-level convolutional neural network) utilizing a semantic similarity constraint, training images, and training captions. Moreover, the disclosed systems and methods can train a sentence decoder neural network (e.g., a character-level recurrent neural network) utilizing training sentences and an adversarial classifier.

Abstract: The present disclosure relates to a fashion recommendation system that employs a task-guided learning framework to jointly train a visually-aware personalized preference ranking network. In addition, the fashion recommendation system employs implicit feedback and generated user-based triplets to learn variances in the user's fashion preferences for items with which the user has not yet interacted. In particular, the fashion recommendation system uses triplets generated from implicit user data to jointly train a Siamese convolutional neural network and a personalized ranking model, which together produce a user preference predictor that determines personalized fashion recommendations for a user.

Abstract: An identification card comprises a card body. A first protective film layer and the first base layer are made of transparent materials; at least a part of a surface of the first base layer is covered by a first graphic layer; a vision effect providing layer has at least one of patterns, colors, textures and gloss which can be visually distinguished. The card body is provided with a first recess portion extending at least through the first protective film layer and the first graphic layer from a surface of the card body and reaching or entering the first recess portion of the first base layer, and thus enabling at least a part of the vision effect providing layer to be seen from the first recess portion. The identification card can improve anti-counterfeiting and personalized customization.

Abstract: An electrode and a lithium-ion battery employing the electrode are provided. The electrode includes an active layer, a conductive layer, and a non-conductive layer. The conductive layer is disposed on the top surface of the active layer. The conductive layer includes a first porous film and a conductive lithiophilic material, and the conductive lithiophilic material is within the first porous film and covers the inner surface of the first porous film. The non-conductive layer includes a second porous film and a non-conductive lithiophilic material, and the non-conductive lithiophilic material is within the second porous film and covers the inner surface of the second porous film. The conductive layer is disposed between the active layer and the non-conductive layer. The binding energy (?G) of the lithiophilic material with lithium is less than or equal to ?2.6 eV.

Abstract: A battery is provided. The battery includes a positive electrode, a negative electrode, and a solid electrolyte membrane. The positive electrode includes a positive active layer. The negative electrode includes a negative active layer and a modified layer, wherein the modified layer is disposed on the negative active layer. The modified layer includes a metal fluoride and a lithium-containing compound. The solid electrolyte membrane includes a first porous layer, an electrolyte layer, and a second porous layer, wherein the electrolyte layer is disposed between the first porous layer and the second porous layer.

Abstract: The present disclosure relates to a personalized fashion generation system that synthesizes user-customized images using deep learning techniques based on visually-aware user preferences. In particular, the personalized fashion generation system employs an image generative adversarial neural network and a personalized preference network to synthesize new fashion items that are individually customized for a user. Additionally, the personalized fashion generation system can modify existing fashion items to tailor the fashion items to a user's tastes and preferences.

Abstract: Certain embodiments involve learning features of content items (e.g., images) based on web data and user behavior data. For example, a system determines latent factors from the content items based on data including a user's text query or keyword query for a content item and the user's interaction with the content items based on the query (e.g., a user's click on a content item resulting from a search using the text query). The system uses the latent factors to learn features of the content items. The system uses a previously learned feature of the content items for iterating the process of learning features of the content items to learn additional features of the content items, which improves the accuracy with which the system is used to learn other features of the content items.

Abstract: In an example, an accessory pivot may include a driven gear, which may be fixed or attached to an electronic device accessory, a hinge gear engaged with a hinge of an electronic device, and a transfer bar engaged with the driven gear and the hinge gear. The transfer bar may actuate the driven gear upon the transfer bar being actuated by the hinge gear.

Abstract: An antenna assembly includes a first antenna element coupled to RF circuitry via a first feeder, and a second antenna element coupled to the RF circuitry via a second feeder. The first feeder and the second feeder have different shapes. The first antenna element and the second antenna element radiate in different frequency bands and in a direction parallel to a ground plane. The ground plane is disposed on at least one layer in a substrate that includes a plurality of layers parallel to one another. The first antenna element is disposed on first one or more of the layers and the second antenna element is disposed on second one or more of the layers, which are different from the first one or more of the layers. Another antenna assembly includes a first subarray of the first antenna elements and a second subarray of the second antenna elements.

Abstract: Methods and systems are provided for transforming sketches into stylized electronic paintings. A neural network system is trained where the training includes training a first neural network that converts input sketches into output images and training a second neural network that converts images into output paintings. Similarity for the first neural network is evaluated between the output image and a reference image and similarity for the second neural network is evaluated between the output painting, the output image, and a reference painting. The neural network system is modified based on the evaluated similarity. The trained neural network is used to generate an output painting from an input sketch where the output painting maintains features from the input sketch utilizing an extrapolated intermediate image and reflects a designated style from the reference painting.

Abstract: An energy management system for a vehicle is disclosed. The vehicle includes one or more power sources configured to provide power to one or more recipients. The system includes a controller configured to determine an arbitration vector based at least partially on a state vector and an initial transformation function. The arbitration vector is determined as one or more points for which the initial transformation function attains a maximum value. The controller is configured to determine a current reward based on the arbitration vector and the state vector, the current reward being configured to minimize energy loss in the power sources. The controller is configured to determine an updated transformation function based at least partially on the initial transformation function and a total reward. The controller is configured to arbitrate a power distribution based in part on the updated arbitration vector.