Abstract: Methods, systems, and apparatus for determining frequencies at which to operate interacting qubits arranged as a two dimensional grid in a quantum device. In one aspect, a method includes the actions of defining a first cost function that characterizes technical operating characteristics of the system. The cost function maps qubit operation frequency values to a cost corresponding to an operating state of the quantum device; applying one or more constraints to the defined first cost function to define an adjusted cost function; and adjusting qubit operation frequency values to vary the cost according to the adjusted cost function such that the operating state of the quantum device is improved.

Abstract: A phase shifter includes an active region, a first and a second set of gates and a set of contacts. The active region extends in a first direction and is located at a first level. The first and second set of gates each extend in a second direction, overlap the active region and are located at a second level. The second set of gates are positioned along opposite edges of the active region, are configured to receive a first voltage, and are part of a first transistor. The first transistor is configured to adjust a first capacitance of the phase shifter responsive to the first voltage. The set of contacts extend in the second direction, are over the active region, are located at a third level, and are positioned between at least the second set of gates.

Abstract: A driver circuit controls an output unit that switches whether or not to supply a current to an output line, in accordance with a potential difference between a first control signal to be input and a voltage of the output line. The driver circuit has a control line transmitting the first control signal to the output unit; a connection switching unit switching whether or not to connect the control line and the output line; a pre-stage control unit that is provided between a high potential line and a low potential line and selects and outputs a potential of any one of the high potential line and the low potential line in accordance with a second control signal; and a post-stage control unit causing the connection switching unit to connect the control line and the output line when the pre-stage control unit outputs a voltage higher than a predetermined threshold value.

Abstract: A fault tolerant quantum computer is implemented using hybrid acoustic-electric qubits. A control circuit includes an asymmetrically threaded superconducting quantum interference devices (ATS) that excites excite phonons in a mechanical resonator by driving a storage mode of the mechanical resonator and dissipates phonons from the mechanical resonator via an open transmission line coupled to the control circuit, wherein the open transmission line is configured to absorb photons from a dump mode of the control circuit.

Abstract: A circuit includes first and second transistors, an adaptive bias current source circuit, and an adaptive resistance circuit. The first transistor has a control terminal and first and second current terminals. The control terminal of the first transistor being a first input to the circuit. The second transistor has a control terminal and first and second current terminals, and the control terminal of the second transistor is a second input to the circuit. The first and second inputs are differential inputs to the circuit. The adaptive bias current source circuit is coupled to the second current terminal of the first transistor. The adaptive resistance circuit is coupled between the second current terminal of the second transistor and the adaptive bias current source circuit.

Abstract: To make it possible to use a transistor with relatively low gate withstand voltage at an output stage in an apparatus including a differential amplifier. An apparatus is provided. The apparatus includes: a differential amplifier having a first current path and a second current path that form a differential pair; a first output-stage transistor that has: a first main terminal connected on a power-supply potential side; a second main terminal connected on a reference-potential side; and a control terminal connected to the second current path; and a first voltage-clamp circuit connected between the control terminal and second main terminal of the first output-stage transistor.

Abstract: The present application is directed to a level shifting circuit. In one form, a level shifting circuit includes a first inverter, a level shifting unit, and a fast driving unit. The first inverter is configured to invert an input signal received at an input node and to output an inverted input signal to a second input node. The level shifting unit is configured to perform amplitude up-shifting processing on a received input signal. The fast driving unit is configured to pull up an output signal of an output node of the level shifting unit by increasing a discharge current of the level shifting unit when receiving the input signal.

Abstract: A method of frequency doubling includes receiving a first clock that has a fifty percent duty cycle and is a two-phase clock having a first phase and a second phase; outputting a second clock using a multiplexer by selecting one of the first phase and the second phase of the first clock in accordance with a third clock; delaying the second clock into a fourth clock using a recirculating delay circuit; and using a divide-by-two circuit to output the third clock in accordance with the fourth clock.

Abstract: A low power comparator and a self-regulated device for adjusting power saving level of an electronic device are provided. The low power comparator includes an input differential pair circuit, a self-regulated device, and a tail current switch. The input differential pair circuit is configured to receive input signals to be compared. The self-regulated device is coupled to the input differential pair circuit and includes a self-regulated circuit which has a first transistor with a first threshold voltage and a second transistor with a second threshold voltage and is configured to adjust a power saving level of the low-power comparator according to the first threshold voltage and the second threshold voltage. The tail current switch is coupled to the input differential pair circuit through the self-regulated circuit to provide a constant current to the input differential pair circuit.

Abstract: A method is provided for drone-video-based action recognition. The method learns a transformation for each of target video clips taken from a set of target videos, responsive to original features extracted from the target video clips. The transformation corrects differences between a target drone domain corresponding to the target video clips and a source non-drone domain corresponding to source video clips taken from a set of source videos. The method adapts the target to the source domain by applying the transformation to the original features to obtain transformed features for the target video clips. The method converts the original and transformed features of same ones of the target video clips into a single classification feature for each of the target videos. The method classifies a human action in a new target video relative to the set of source videos using the single classification feature for each of the target videos.

Abstract: Region proposal is described for image regions that include objects of interest. Feature maps from multiple layers of a convolutional neural network model are used. In one example a digital image is received and buffered. Layers of convolution are performed on the image to generate feature maps. The feature maps are reshaped to a single size. The reshaped feature maps are grouped by sequential concatenation to form a combined feature map. Region proposals are generated using the combined feature map by scoring bounding box regions of the image. Objects are detected and classified objects in the proposed regions using the feature maps.

Abstract: An information processing apparatus includes a control unit that creates a plurality of learning information items including an input image and a teacher image as an expected value by image-processing the input image in accordance with a scenario described with a program code, and supplies the created plurality of learning information items to a machine learning module that composes an image processing algorithm by machine learning.

Abstract: Methods, systems, and devices for personalized (e.g., user specific) eye openness estimation are described. A network model (e.g., a convolutional neural network) may be trained using a set of synthetic eye openness image data (e.g., synthetic face images with known degrees or percentages of eye openness) and a set of real eye openness image data (e.g., facial images of real persons that are annotated as either open eyed or closed eyed). A device may estimate, using the network model, a multi-stage eye openness level (e.g., a percentage or degree to which an eye is open) of a user based on captured real time eye openness image data. The degree of eye openness estimated by the network model may then be compared to an eye size of the user (e.g., a user specific maximum eye size), and a user specific eye openness level may be estimated based on the comparison.

Abstract: Described is a system for unsupervised domain adaptation in an autonomous learning agent. The system adapts a learned model with a set of unlabeled data from a target domain, resulting in an adapted model. The learned model was previously trained to perform a task using a set of labeled data from a source domain. The set of labeled data has a first input data distribution, and the set of unlabeled target data has a second input data distribution that is distinct from the first input data distribution. The adapted model is implemented in the autonomous learning agent, causing the autonomous learning agent to perform the task in the target domain.

Abstract: An image processing apparatus captures an image, detects an object in the captured image, and transmits the image and metadata containing object information regarding the object detected from the image to an information processing apparatus. If a detection function is valid with respect to a first image to transmit and the detection function is invalid with respect to a second image to transmit after the first image, the image processing apparatus transmits invalidity information indicating that the object is not detected with respect to the second image to the information processing apparatus.

Abstract: An image processing apparatus have a processor configured to: receive a plurality of images of a tissue including a lesion portion, the plurality of images being received from an endoscope; judge, based on a signal from the endoscope, whether or not to engage a differentiation classification operation; in response to judging that the differentiation classification operation is engaged, process the plurality of images to specify the lesion portion within one or more of the plurality of images; and perform differentiation classification on the one or more images to classify the lesion portion into at least one class of a plurality of classes; and in response to judging that the differentiation classification operation is not engaged, not process the plurality of images to specify the lesion portion within the one or more of the plurality of images.

Abstract: An entity learning recognition method, system, and computer program product include learning (i.e., in a training phase) from at least one entity to produce augments entities such that an augmented entity is still recognizable as the original entity but differs sufficiently to produce a different feature representation of the entity to create a database for use (i.e., in an implementation phase).

Abstract: Images of a plurality of users are captured concurrently with the plurality of users evincing a plurality of expressions. The images are captured using one or more eye tracking sensors implemented in one or more head mounted devices (HMDs) worn by the plurality of first users. A machine learnt algorithm is trained to infer labels indicative of expressions of the users in the images. A live image of a user is captured using an eye tracking sensor implemented in an HMD worn by the user. A label of an expression evinced by the user in the live image is inferred using the machine learnt algorithm that has been trained to predict labels indicative of expressions. The images of the users and the live image can be personalized by combining the images with personalization images of the users evincing a subset of the expressions.

Abstract: Systems, methods, and non-transitory computer-readable media can identify a first user depicted in image content captured by a second user. It is determined that the first user should be obscured in the image content based on privacy settings. The image content is modified to obscure the first user.

Abstract: Systems and methods for performing OCR of a series of images depicting text symbols.