Abstract: A user device, such as a smartphone or laptop, may be password (passphrase) protected. The user device may combine biometric input analysis, such as facial recognition, with viseme analysis to authenticate a user attempting to use a password (passphrase) to access the user device. Secure authentication methods and systems are described that account for variations in how, based on the user's emotion (e.g., mood, temperament, unique pronunciation, etc. . . . ), a password (passphrase) may be presented to the user device.

Abstract: Systems and methods for localizing portable devices are illustrated. One embodiment includes a method for locating a portable device in a network that includes several reference devices. The method measures characteristics of signals transmitted via signal paths between reference devices and a portable device, normalizes the measurements to estimate characteristics of the signal paths, and estimates the likelihood that the portable device is in a particular location. Systems and methods for training prediction models include a method that includes steps for receiving context data for a portable device in a system, wherein the context data includes localization data that describes a location of the portable device, identifying a predicted stationary device based on the context data using a prediction model, identifying a target stationary device from the several stationary devices, training the prediction model based on based on the predicted stationary device and the received input.

Abstract: A system and related methods are provided for processing a diagnostic test article, for example, one that is used for medical or substance testing. The system and methods combine a diagnostic test article with a software application that is integrated with each of a mobile communication device and a cloud-based network via an internet connection for achieving certain advantages and improvements over conventional point of use diagnostics.

Abstract: An occlusion detection system to perform operations that include: capturing image data that depicts an environment at a client device, the environment including a target object at a position within the environment; causing display of a presentation of the environment at the client device, the presentation of the environment including a display of the target object at the position within the environment; detecting a first attribute of the display of the target object at the client device; performing a comparison of the first attribute of the display of the target object and a second attribute associated with the target object; and detecting an occlusion based on the comparison.

Abstract: A style-based generative network architecture enables scale-specific control of synthesized output data, such as images. During training, the style-based generative neural network (generator neural network) includes a mapping network and a synthesis network. During prediction, the mapping network may be omitted, replicated, or evaluated several times. The synthesis network may be used to generate highly varied, high-quality output data with a wide variety of attributes. For example, when used to generate images of people's faces, the attributes that may vary are age, ethnicity, camera viewpoint, pose, face shape, eyeglasses, colors (eyes, hair, etc.), hair style, lighting, background, etc. Depending on the task, generated output data may include images, audio, video, three-dimensional (3D) objects, text, etc.

Abstract: Accessory devices are described herein. An accessory device may include a receptacle for receiving an electronic device. The accessory device may include a case that covers the housing of the electronic device, or a folio that additionally includes a cover can conceal the display of the electronic device. Accessory devices described herein further include wireless circuitry used to communicate with wireless circuitry in the electronic device. The wireless circuitry can be used for various functions and features. For instance, the wireless circuitry in the accessory device can respond to authentication requests from the electronic device, and/or to send authentication requests to the electronic device. Further, the wireless circuitry in the accessory device can send information to the electronic device. Such information may include properties of the accessory device, or information stored on the accessory device that is presented on a display of the electronic device.

Abstract: A wireless communication method includes: obtaining operational information of a first wireless communication system; in response to the operational information of the first wireless communication system, adjusting a wireless communication configuration of a second wireless communication system to set an adjusted wireless communication configuration for the second wireless communication system; and performing, by the second wireless communication system, wireless communication under the adjusted wireless communication configuration. The first wireless communication system and the second wireless communication system co-exist in a same electronic device.

Abstract: Accessory devices are described herein. An accessory device may include a receptacle for receiving an electronic device. The accessory device may include a case that covers the housing of the electronic device, or a folio that additionally includes a cover can conceal the display of the electronic device. Accessory devices described herein further include wireless circuitry used to communicate with wireless circuitry in the electronic device. The wireless circuitry can be used for various functions and features. For instance, the wireless circuitry in the accessory device can respond to authentication requests from the electronic device, and/or to send authentication requests to the electronic device. Further, the wireless circuitry in the accessory device can send information to the electronic device. Such information may include properties of the accessory device, or information stored on the accessory device that is presented on a display of the electronic device.

Abstract: Disclosed herein an artificial intelligence apparatus for updating an artificial intelligence model including a memory configured to store an artificial intelligence model and training data for the artificial intelligence model and a processor configured to receive sensor data, calculate a confidence level of the received sensor data for the stored artificial intelligence model, label the received sensor data if the calculated confidence level is less than a reference value, store the labeled received sensor data in the memory as the training data or test data, and update the stored artificial intelligence model using the stored training data.

Abstract: Systems and methods for determining the gaze direction of a subject and projecting this gaze direction onto specific regions of an arbitrary three-dimensional geometry. In an exemplary embodiment, gaze direction may be determined by a regression-based machine learning model. The determined gaze direction is then projected onto a three-dimensional map or set of surfaces that may represent any desired object or system. Maps may represent any three-dimensional layout or geometry, whether actual or virtual. Gaze vectors can thus be used to determine the object of gaze within any environment. Systems can also readily and efficiently adapt for use in different environments by retrieving a different set of surfaces or regions for each environment.

Abstract: Mechanisms and methods are provided for improving wireless audio transmission and synchronization for multi-channel Bluetooth® Low Energy (BLE) systems. In various embodiments, mechanisms and methods may include generating transmissions having a plurality of Protocol Data Units (PDUs) to BLE-compliant slave devices. The plurality of PDUs may be stored in a buffer. When an error is determined to have occurred in transmitting one of the PDUs, a re-transmission to the slave device may be generated, which may include the PDU in error and any subsequent PDUs of the plurality of PDUs.

Abstract: In an example method, a mobile device establishes a first wireless communications link and a second wireless communications link with a second device, and determines that the second wireless communications link is not connected. Responsive to determining that the second wireless communications link is not connected, the mobile device attempts to reestablish the second wireless communications link with the second device according to a duty cycle that varies based at least on a characteristic associated with the first wireless communications link.

Abstract: A computing device receives a data X and Y, each having N samples. A function f(x,y) is defined to be a trainable neural network based on the data X and the data Y. A permuted version of the data Y is created. A loss mean is computed based on the trainable neural network f(x,y), the permuted version of the sample data Y, and a trainable scalar variable ?. A loss with respect to the scalar variable ? and the trainable neural network is minimized. Upon determining that the loss is at or below the predetermined threshold, estimating a mutual information (MI) between a test data XT and YT. If the estimated MI is above a predetermined threshold, the test data XT and YT is deemed to be dependent. Otherwise, it is deemed to be independent.

Abstract: A latent code defined in an input space is processed by the mapping neural network to produce an intermediate latent code defined in an intermediate latent space. The intermediate latent code may be used as appearance vector that is processed by the synthesis neural network to generate an image. The appearance vector is a compressed encoding of data, such as video frames including a person's face, audio, and other data. Captured images may be converted into appearance vectors at a local device and transmitted to a remote device using much less bandwidth compared with transmitting the captured images. A synthesis neural network at the remote device reconstructs the images for display.

Abstract: A document extraction system executed by a processor, may process documents using manual and automated systems. The document extraction system may efficiently route tasks to the manual and automated systems based on a predicted probability that the results generated by the automated system meet some baseline level of accuracy. To increase document processing speed, documents having a high likelihood of accurate automated processing may be routed to an automated system. To ensure a baseline level of accuracy, documents having a smaller likelihood of accurate automated processing may be routed to a manual system.

Abstract: A style-based generative network architecture enables scale-specific control of synthesized output data, such as images. During training, the style-based generative neural network (generator neural network) includes a mapping network and a synthesis network. During prediction, the mapping network may be omitted, replicated, or evaluated several times. The synthesis network may be used to generate highly varied, high-quality output data with a wide variety of attributes. For example, when used to generate images of people's faces, the attributes that may vary are age, ethnicity, camera viewpoint, pose, face shape, eyeglasses, colors (eyes, hair, etc.), hair style, lighting, background, etc. Depending on the task, generated output data may include images, audio, video, three-dimensional (3D) objects, text, etc.

Abstract: A method of fabricating a semiconductor device includes forming an interlayer dielectric on a substrate, the interlayer dielectric including first and second openings respectively disposed in first and second regions formed separately in the substrate; forming a first conductive layer filling the first and second openings; etching the first conductive layer such that a bottom surface of the first opening is exposed and a portion of the first conductive layer in the second opening remains; and forming a second conductive layer filling the first opening and a portion of the second opening.

Abstract: A semiconductor device including a standard cell for implementing a logic element includes a first active region and a second active region extending in a second direction on a substrate and spaced apart from each other in a first direction perpendicular to the second direction, gate electrodes intersecting the first active region and the second active region, and source regions and drain regions formed on the first and second active regions at both sides of each of the gate electrodes. A boundary of the standard cell has a polygonal shape, excluding a quadrilateral shape, when viewed in a plan view. As a result, an area of the standard cell may be reduced to reduce a size of the semiconductor device.

Abstract: A semiconductor body having first and second vertically spaced apart surfaces is formed. A gate trench that vertically extends from the first surface of the semiconductor body towards the second surface is formed. A gate electrode and a gate dielectric are formed in the gate trench. The gate dielectric electrically insulates the gate electrode from adjacent semiconductor material. A doped superjunction region vertically extending from a bottom of the gate trench towards the second surface of the semiconductor body is formed. The doped superjunction region includes first, second, and third doped pillars vertically extending from the first surface of the first semiconductor layer and directly adjoining one another. The second pillar is laterally centered between the first and third pillars and has an opposite conductivity type as the first and third pillars.

Abstract: Provided is a negative capacitance FinFET device including a FinFET device including a gate stack, a drain electrode and a source electrode formed on a substrate and a ferroelectric negative capacitor connected to the gate stack of the FinFET device and having a negative capacitance. The FinFET device has an extension length (Lext) from a side-wall of the gate stack to the drain electrode or the source electrode and the extension length is set such that a size of a hysteresis window in the negative capacitance FinFET device is 1 V or less.