Samsung Electronics Co., Ltd.

Seungjin Yang

Junhyuk Lee

Hyunbin Park

Jin Hwan Choi

Jin Woo Choi

Jin Sung Choi

Chanyoung Hwang

Jeyoon Kim

Changmi Shin

An electronic device includes a power management circuit; a volatile memory; and a processor configured to: based on the electronic device starting system booting, identify whether the system booting is initial booting or whether a condition designated in the volatile memory is satisfied, based on identifying that the system booting is the initial booting or the condition is satisfied, identify a lower positive supply voltage (LVDD) value for the volatile memory by testing an LVDD margin for the volatile memory, and based on the LVDD value being less than a reference LVDD value for the volatile memory, drive the volatile memory using the LVDD value.

Electronic device for adjusting driving voltage of volatile memory and method for operating the same

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.

Electronic device for processing neural network model and method of operating the same

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.

Electronic device identifying force touch and method for operating the same

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.

Electronic device and learning model determination method for learning of electronic device

An electronic device and a method for controlling a sharable cache memory of the electronic device are provided. The electronic device includes a central processing unit including at least one core processor, at least one module, and a sharable cache memory including a controller, wherein the controller enables the sharable cache memory as a cache memory of the central processing unit if the central processing unit is in a working mode, and wherein the controller enables the sharable cache memory as a buffer of at least one of modules if at least one core processor of the central processing unit is transitioned to a sleep mode.

Electronic device and method for controlling shareable cache memory thereof

An electronic device with a cache memory and a method of operating the electronic device are provided. The electronic device includes a cache memory including a plurality of cache lines each of which includes a first area with at least one storage space and a second area with at least one storage space, where the at least one storage space of the first area has a first size and the at least one storage space of the second area has a second size different from the first size, and a cache controller for storing the data requested for storage in one of the storage spaces of the first or second area, according to a compression factor associated with the data requested for storage when a request is made to store data in the cache memory.

Growing community of inventors

Gyeonggi-do, South Korea

Seungjin Yang