Abstract:
A semiconductor device includes a plurality of lower electrodes on a substrate, with each of the lower electrodes extending in a height direction from the substrate and including sidewalls, the lower electrodes being spaced apart from each other in a first direction and in a second direction, a plurality of first supporting layer patterns contacting the sidewalls of the lower electrodes, the first supporting layer patterns extending in the first direction between ones of the lower electrodes adjacent in the second direction, a plurality of second supporting layer patterns contacting the sidewalls of the lower electrodes, the second supporting layer pattern extending in the second direction between ones of the lower electrodes adjacent in the first direction, the plurality of second supporting layer patterns being spaced apart from the plurality of first supporting layer patterns in the height direction.
Abstract:
Disclosed are a method and apparatus for controlling a cache memory in an electronic device. The apparatus includes a cache memory having cache lines, each of which includes tag information and at least two sub-lines. Each of the at least two sub-lines including a valid bit and a dirty bit. A control unit may analyze a valid bit of a sub-line corresponding to an address tag of data when a request for writing the data is sensed, determine based on activation or deactivation of the valid bit whether a cache hit or a cache miss occurs, and perform a control operation for allocating a sub-line according to a size of the requested data and write the data when the cache hit occurs.
Abstract:
An electronic device is provided. The electronic device includes a touch sensor, a processor, and a memory. The processor may determine a touch input from a user as at least one of a force-touch input or a long-touch input, based on received touch data, determine whether a result of determining the touch data matches an intention of the user, store data that does not match the intention of the user as a result of determination among the touch data in the memory, and determine a type of an artificial intelligence (AI)-based pre-learning model to be used in the electronic device, based on touch input accuracy and the data that does not match the intention of the user.
Abstract:
A reticle includes a mask substrate, a reflective layer on the mask substrate, and a mask pattern on the reflective layer, the mask pattern having image patterns to absorb light, and first patterns between the image patterns, the first patterns being openings, the first patterns having a honeycomb arrangement, in a plan view, such that seven of the first patterns are arranged at corresponding vertices and a center of a first regular hexagon, and each of the first patterns having a shape of a second regular hexagon that is rotated by 90 degrees relative to the first regular hexagon.
Abstract:
An electronic device and a method for sharing content information are provided. An operation method of the electronic device includes displaying a content on a display of the electronic device, selecting at least a part of the area of the display, and transmitting to an external device, a part of the content displayed in a part of the area of the display such that the transmitted content is controlled through a display of the external device independently of the content displayed on the display. Other embodiments are also disclosed.
Abstract:
A method of manufacturing a reticle, the method including preparing a substrate, determining position data of a pattern to be formed on the substrate, and setting a primary exposure condition to form the pattern; performing a primary exposure simulation regarding the substrate based on the position data of the pattern and the primary exposure condition; calculating a primary deformation rate of the substrate, which is generated in the primary exposure simulation; correcting the position data of the pattern based on the primary deformation rate of the substrate to provide a corrected position data of the pattern; and exposing the substrate under the primary exposure condition based on the corrected position data of the pattern.
Abstract:
An exposure method may include: radiating a charged particle beam in an exposure system comprising a beam generator, radiating the beam, and main and auxiliary deflectors deflecting the beam to determine a position of a beam shot; determining whether a deflection distance from a first position of a latest radiated beam shot to a second position of a subsequent beam shot is within a first distance in a main field area of an exposure target area, the main field area having a size determined by the main deflector; setting a settling time according to the deflection distance so that a settling time of the subsequent beam shot is set to a constant minimum value, greater than zero, when the deflection distance from the first position to the second position is within the first distance; and deflecting the beam using the main deflector based on the set settling time.
Abstract:
According to various embodiments, an electronic device includes a memory storing deep learning models for determining a force touch, a touchscreen, and a processor configured to identify a touch input of a user through the touchscreen, receive touch pixel data for frames having a time difference based on the touch input, and identify whether the touch input is a force touch based on the touch pixel data. The processor is configured to identify whether the touch input is the force touch using a first determination model among the deep learning models in response to identifying that the touch input is reinputted a designated first number of times or more within a designated time, and otherwise, identify whether the touch input is the force touch using a determination model having a lower computation load than the first determination model among the deep learning models.
Abstract:
An example electronic device according to various embodiments may include a fingerprint sensor, a touch sensor, a memory storing at least one instruction, and a processor operatively connected to the fingerprint sensor, the touch sensor, and the memory. The processor may determine whether a touch input is generated in a fingerprint recognition area in which a fingerprint sensor is disposed using a touch sensor, may determine whether the generated touch input continues for a given time or more, may generate first data by accumulating the touch input generated based on the touch input continuing for the given time or more, may determine whether an inputted fingerprint corresponds to a registered fingerprint of a registered user by analyzing the touch input in the fingerprint recognition area, using the fingerprint sensor, may analyze the first data using a first AI model based on the inputted fingerprint corresponding to the fingerprint of a registered user, may analyze the first data using a second AI model based on the inputted fingerprint not corresponding to the fingerprint of a registered user, may identify a form of the touch input based on analysis of the first data, and may perform a function corresponding to the identified form of the touch input and/or executing a user interface corresponding to the identified form of the touch input.
Abstract:
An electronic device is provided. The electronic device includes a memory, and a processor including a resource management unit and a neural processing unit. The processor may be configured to obtain an execution request for a specific function operating based on a specific neural network model, identify an available bandwidth of the memory through the resource management unit, and quantize the specific neural network model based on the available bandwidth of the memory through the neural processing unit.