Abstract: An electro-synthetic or electro-energy cell, and method of operation, including a first gas diffusion electrode configured to generate a first gas and be in contact with and adjacent to a first gas body including the first gas, and a second gas diffusion electrode configured to generate a second gas and be in contact with and adjacent to a second gas body including the second gas. A porous capillary spacer is positioned between the first gas diffusion electrode and the second gas diffusion electrode. The porous capillary spacer is configured to be filled with a liquid electrolyte and to confine the liquid electrolyte in the porous capillary spacer by a capillary effect and whereby the liquid electrolyte has a maximum column height of more than 0.4 cm.

Abstract: Zero-gap electrochemical cell architectures that employ molecular-level capillary and/or diffusion and/or osmotic effects to minimize the need for macroscopic external management of the electrochemical cell. Preferably, these effects intrinsically respond to the electrochemical cell conditions, making them self-regulating. In one example is disclosed an electro-synthetic or electro-energy cell, and method of operation, including a reservoir for containing a liquid electrolyte, a first gas diffusion electrode positioned outside of the reservoir, and a second electrode positioned outside of the reservoir. A porous capillary spacer is positioned between the first gas diffusion electrode and the second electrode, the porous capillary spacer having an end that extends into the reservoir. Preferably, the porous capillary spacer is able to fill itself with the liquid electrolyte when the end of the porous capillary spacer is in liquid contact with the liquid electrolyte in the reservoir.

Abstract: Methods, systems, and devices for accessing a multi-level memory cell are described. The memory device may perform a read operation that includes pre-read portion and a read portion to access the multi-level memory cell. During the pre-read portion, the memory device may apply a plurality of voltages to a plurality of memory cells to identify a likely distribution of memory cells storing a first logic state. During the read portion, the memory device may apply a first read voltage to a memory cell based on performing the pre-read portion. The memory device may apply a second read voltage to the memory cell during the read portion that is based on the first read voltage. The memory device may determine the logic state stored by the memory cell based on applying the first read voltage and the second read voltage.

Abstract: A method generates a setpoint for controlling a steering system and a differential braking system of a motor vehicle. The method includes: acquiring a value relating to a total yawing moment to be applied to the motor vehicle such that it follows a required path, and the speed of the motor vehicle, calculating, as a function of the speed, at least one threshold relating to the maximum proportion of the total yawing moment that the steering system or that the differential braking system can provide, determining, as a function of the threshold, a distribution rate relating to the proportion of the total yawing moment that the steering system or that the differential braking system must provide, and generating a setpoint for controlling the steering system and the differential braking system as a function of the distribution rate and of the value relating to the total yawing moment.

Abstract: Disclosed are examples for adjusting screen brightness based on screen content being presented on a display screen of a mobile device. The described examples may determine a time at which the screen content is to be evaluated. The screen content is categorized based on the evaluation. A category of the screen content may be input into a machine learning algorithm that may be used to determine whether a screen brightness adjustment is appropriate. If a screen brightness adjustment is appropriate, a degree of the screen brightness adjustment may be determined.

Abstract: Various embodiments for a system to utilize user's location pattern as an authentication parameter are disclosed. An embodiment operates by retrieving a location history of a user based on past locations of a user equipment (UE) device at various times and traffic data associated with the location history. A request to access a protected application is received and a present location of the UE device at a time associated with the request is determined. A locational pattern is generated based on both the location history of the user and the traffic data. The present location of the UE device is compared with the locational pattern, and it is determined that a level of authentication necessary to grant access to the protected application is satisfied based on both the comparing and a determination that the present location falls within the locational range generated based on the traffic data.

Abstract: A device is disclosed. The device includes a first semiconductor fin, a first source-drain epitaxial region adjacent a first portion of the first semiconductor fin, a second source-drain epitaxial region adjacent a second portion of the first semiconductor fin, a first gate conductor above the first semiconductor fin, a gate spacer covering the sides of the gate conductor, a second semiconductor fin below the first semiconductor fin, a second gate conductor on a first side of the second semiconductor fin and a third gate conductor on a second side of the second semiconductor fin, a third source-drain epitaxial region adjacent a first portion of the second semiconductor fin, and a fourth source-drain epitaxial region adjacent a second portion of the second semiconductor fin. The device also includes a dielectric isolation structure below the first semiconductor fin and above the second semiconductor fin that separates the first semiconductor fin and the second semiconductor fin.

Abstract: Methods and systems are disclosed for quantizing images using machine-learning. A plurality of input images are received from a sensor (e.g., a camera), wherein each input image includes a plurality of pixels. Utilizing an image-to-image machine-learning model, each pixel is assigned a new pixel color. Utilizing a mixer machine-learning model, each new pixel color is converted to one of a fixed number of colors to produce a plurality of quantized images, with each quantized image corresponding to one of the input images. A loss function is determined based on an alignment of each input image with its corresponding quantized image via a pre-trained reference machine-learning model. One or more parameters of the image-to-image machine-learning model and the mixer model are updated based on the loss function. The process repeats, with each iteration updating the parameters of the image-to-image machine-learning model and the mixer model, until convergence, resulting in trained models.

Abstract: A cultured spherical body that is capable of easily performing quantitative analysis of a region containing brain neurons, useful as a supply source of neurons for transplantation, and can be used suitably for drug discovery screening for neurological diseases and compound evaluation systems is obtained. Provided are a cultured spherical body including a first cell layer containing neural stem cells and/or neural progenitor cells and a second cell layer containing brain neurons, wherein the first cell layer is present in the superficial portion of the cultured spherical body, and a method for producing the cultured spherical body.

Abstract: Described are systems and methods to determine hair patterns presented in content items. The determined hair patterns may be associated with the content items to facilitate indexing, filtering, etc. of the content items based on the determined hair patterns. In exemplary implementations, a corpus of content items may be associated with an embedding vector that includes a binary representation of the content item. The embedding vectors associated with each content item can be provided as inputs to a trained machine learning model, which can process the embedding vectors to determine one or more hair patterns presented in each content item while eliminating the need for performing image pre-processing prior to determination of the hair pattern(s) presented in the content item.

Abstract: A matching making carrier service system and method that enables users to connect and collaborate on carrier services is described. The system provides a platform for users to search for each other for goods transportation purposes, such that a requester user and a traveler user can agree upon a freelance carrier service. The system may be configured to provide means to verify each user to provide reliable security of transactions between users. The system may be configured to provide escrow services to hold payment in secured means, such that payment may be configured to reliably provided upon completion of tasks. The platform may be configured to provide a feedback and review system such that users can be rated and ranked for the services rendered. The system may be configured to provide security encryption to ensure reliable interaction between users.

Abstract: A method controls a motor vehicle equipped with at least two perception sensors to avoid a target. The control method includes: determining data of the sensors, fusing the data of the sensors so as to determine the steering wheel angle, the vehicle speed and the vehicle heading, planning an avoidance path to avoid the target, taking the form of a Euler spiral, refining the avoidance path depending on the steering wheel angle, on the vehicle speed and on the vehicle heading and based on the solution of an optimisation problem, controlling the vehicle so as to follow the refined path, the refining the path including honing the avoidance path depending on the path length, on the direction of steering wheel rotation and on the final heading and refining the honed trajectory depending on the initial heading and on the direction of steering wheel rotation.

Abstract: A method of operating an electro-synthetic or electro-energy cell performs an electrochemical reaction. An electro-synthetic or electro-energy cell includes a reservoir containing a liquid electrolyte, a first gas diffusion electrode, and a second electrode. A porous capillary spacer is positioned between the first gas diffusion electrode and the second electrode. The porous capillary spacer can have an end positioned within the reservoir and in liquid contact with the liquid electrolyte. The method includes contacting the first gas diffusion electrode and the second electrode with the liquid electrolyte, and applying or generating a voltage across the first gas diffusion electrode and the second electrode.

Abstract: The invention provides the method that allows UE to simultaneously use 4G and 5G technology when handover from a eNodeB station to eNodeB ENDC base station that supports data transfer on 5G technology platform effectively and optimize deployment costs for current carriers. The method can be widely applied on software and hardware available.

Abstract: A method for training a control policy for controlling a technical system. The method includes training a neural network to implement a value function by: adapting the neural network for reducing a loss which, for a plurality of states and, for each state, for at least one action that has been previously carried out in the state, involves a deviation between a prediction for a cumulative reward and an estimation of the cumulative reward that is ascertained from a subsequent state that has been achieved by the action, and a reward that is obtained by the action. In the loss, for each action, the deviation for the action is weighted more strongly the greater the likelihood is that the action is selected by the control policy, in relation to the likelihood that the action is selected by a behavior control policy. The method also includes training the control policy.

Abstract: Methods and systems disclosed herein describe using machine learning to lock and unlock a device. Machine learning may be trained to recognize one or more features. Once the device has been trained to recognize one or more features, a user may define an unlock condition for the device using the one or more trained features. After defining the unlock condition, the device may be locked by verifying the one or more features that the user defined as the unlock condition using machine learning. When verification is successful, the device may be unlocked and the user allowed to access the device.

Abstract: An obstacle-avoidance method includes detecting an obstacle in a vicinity of a motor vehicle and planning an obstacle-avoidance path for avoiding the obstacle; and commanding steering and differential braking systems to handle the avoidance path.

Abstract: A method autonomously controls a mobility of an automotive apparatus, which mobility is such as to have an influence on the path of the apparatus. The method includes steps of: acquiring parameters relative to the path of the apparatus, and of computing a new control setpoint for the mobility of the apparatus depending on said parameters, this new control setpoint being determined by means of a controller that respects a model that limits the variation in the control setpoint.

Abstract: An electronic device can include a housing, a display positioned within the housing; and a cover glass disposed over the display and attached to the housing. The cover glass can include a glass sheet; a hard coat layer disposed on the glass sheet, having a hardness greater than a hardness of the glass sheet; and a gradient layer deposited on the hard coat layer and having a composition that transitions from a first composition at the hard coat layer to a second composition at a top surface of the gradient layer. The first composition can be predominantly a composition of the hard coat layer and the second composition is different than the first composition. The second composition can be predominantly SiO2. The hard coat layer can include SiON. The cover glass can include an intermediate gradient layer disposed between the glass sheet and the hard coat layer.