公开(公告)号：US20240111433A1

公开(公告)日：2024-04-04

申请号：US18199566

申请日：2023-05-19

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sang-Kyu KANG ,  Jieun SHIN ,  Ho-Cheol BANG ,  Haewon LEE

IPC: G06F3/06 ,  G06F1/08

CPC classification number: G06F3/0619 ,  G06F1/08 ,  G06F3/0653 ,  G06F3/0673

Abstract: In some embodiments, a memory system includes a memory device and a host configured to transmit, to the memory device, a command and address (C/A) signal and a clock signal, and to transmit or receive data signals to or from the memory device. Each command that is configured to access the memory device is associated with an access timing parameter. The memory device includes an access parameter timer configured to measure an actual timing value of the access timing parameter, a spec register configured to provide a spec timing value defining an effective timing of the access timing parameter, a comparison circuit configured to compare the actual timing value and the spec timing value, and a mode register configured to store an access timing violation flag that is read by the host when the actual timing value deviates from the spec timing value by exceeding a predetermined range.

公开(公告)号：US20230360118A1

公开(公告)日：2023-11-09

申请号：US18137206

申请日：2023-04-20

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Seonguk SEO ,  Jieun SHIN ,  Jihye HA ,  Sunah KIM

IPC: G06Q30/08 ,  G06N20/00 ,  G06N7/01

CPC classification number: G06Q30/08 ,  G06N20/00 ,  G06N7/01

Abstract: The electronic apparatus disclosed includes a memory storing an artificial intelligence model predicting the minimum winning price in a real time bidding and instructions, and processors configured to, acquire information on a plurality of auction histories including at least one auction history of a first auction type and at least one auction history of a second auction type, generate the minimum winning price probability distribution for entire of the plurality auction histories, based on the minimum winning price probability distribution for entire of the plurality auction histories, generate a conditional minimum winning price probability distribution for each of the plurality of auction histories, and train the artificial intelligence model by using auction attribute information for each of the plurality of auction histories as an independent variable, and using the conditional minimum winning price probability distribution for each of the plurality of auction histories as a dependent variable.