公开(公告)号：US20220299948A1

公开(公告)日：2022-09-22

申请号：US17572606

申请日：2022-01-10

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Sang Wan LEE ,  Dongjae KIM

IPC: G05B13/02 ,  H04W84/12

Abstract: Various embodiments relate to an electronic device for brain-inspired adaptive control of resolving the bias-variance tradeoff and a method thereof. The method may include estimating a prediction error baseline for an environment, based on a first prediction error of a low-variance intelligent system for the environment and a second prediction error of a low-bias intelligent system for the environment; and implementing an adaptive control system by combining the low-variance intelligent system and the low-bias intelligent system based on the estimated prediction error baseline.

公开(公告)号：US20210279547A1

公开(公告)日：2021-09-09

申请号：US17141841

申请日：2021-01-05

Applicant: Korea Advanced Institute Of Science And Technology

Inventor： Sang Wan LEE ,  Dongjae KIM ,  Jae Hoon SHIN

IPC: G06N3/00 ,  G06K9/62 ,  G06F3/01 ,  G06F17/15

Abstract: Provided are an electronic device for precision behavior profiling for transplanting humans' intelligence into AI and an operating method thereof, which may be configured to theoretically design at least one environmental factor, fit a first level model from human's processing data for a task based on the environmental factor, fit a second level model from processing data of the first level model for the task based on the environmental factor, and determine the second level model as a transplant model for humans' intelligence based on a correlation between the first level model and the second level model through profiling for the first level model and the second level model. According to various embodiments, the human's processing data may include at least any one of behavioral data or a brain signal generated while the human processes the task.