Samsung Electronics Co., Ltd.

Seoul National University

Lunit Inc.

Wonkyung Jung

Jaehyun Park

Sunjung Lee

Jungho Ahn

Jaewan Choi

Eojin Lee

Byeongho Kim

Jongwook Chung

Minbok Wi

Seungwoo Seo

Yuhwan Ro

Dong Geun Yoo

Kyunghyun Paeng

Soo Ick Cho

Chan-Young Ock

Biagio Brattoli

Provided is a method for analysing a pathology image, which is performed by at least one processor and includes acquiring a pathology image, inputting the acquired pathology image into a machine learning model and acquiring an analysis result for the pathology image from the machine learning model, and outputting the acquired analysis result, in which the machine learning model is a model trained by using a training data set generated based on a first pathology data set associated with a first domain and a second pathology data set associated with a second domain different from the first domain.

Method and system for analyzing pathology image

A processor-implemented data processing method includes: generating compressed data of first matrix data based on information of a distance between valid elements included in the first matrix data; fetching second matrix data based on the compressed data; and generating output matrix data based on the compressed data and the second matrix data.

Method and apparatus with data processing

A semiconductor memory device includes a plurality of memory banks including a first memory bank group including a computation circuit and a second memory bank group without a computation circuit; and a control circuit configured to control a PIM operation by the first memory bank group to be performed together with processing of memory requests for the plurality of memory banks while satisfying a maximum power consumption condition of the semiconductor memory device.

Semiconductor memory device employing processing in memory (PIM) and operation method of the semiconductor memory device

Growing community of inventors

Suwon-si, South Korea

Wonkyung Jung