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公开(公告)号：US20200043358A1
公开(公告)日：2020-02-06
申请号：US16352312
申请日：2019-03-13
Inventor： Sang Wan Lee , JeeHang Lee
Abstract: Disclosed are a non-invasive control method and system for a human learning and inference process at behavioral and neural levels using a brain-inspired artificial intelligence technique. The non-invasive control system may transplant a model, designed in relation to a user's learning and inference, into artificial intelligence and training the user's behavior for knowledge data through a reinforcement learning agent, and may control task variables related to the user's learning and inference for the knowledge data based on the learning mechanism of the user derived based on the trained user's behavior.
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公开(公告)号：US12099333B2
公开(公告)日：2024-09-24
申请号：US17572606
申请日：2022-01-10
Inventor： Sang Wan Lee , Dongjae Kim
IPC: G05B13/02
CPC classification number: G05B13/0265 , G05B13/024 , G05B13/026
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.
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Patent Agency Ranking
公开(公告)号：US11626030B2
公开(公告)日：2023-04-11
申请号：US16381954
申请日：2019-04-11
Inventor： Sang Wan Lee , JeeHang Lee , SangHyun Lee
Abstract: Disclosed is a strategy guide method performed by an artificial intelligence (AI)-based strategy guide system, the method including generating an environment that interacts with a user; and controlling a strategy of the user based on a preset multi-objectives by changing the environment in response to observing a decision making of the user in the environment.
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4.发明申请公开(公告)号：US20220164631A1
公开(公告)日：2022-05-26
申请号：US17530626
申请日：2021-11-19
Inventor： Sang Wan Lee , Minryung Song
Abstract: Various example embodiments relate to a computer system for profiling neural firing data and extracting content and a method thereof, and it may be configured to profile the neural firing data based on time series data representing firing timepoint for at least one neural firing within a window defined by a predetermined time length, and extract the content for the neural firing from the neural firing data.
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公开(公告)号：US11823383B2
公开(公告)日：2023-11-21
申请号：US17229747
申请日：2021-04-13
Inventor： Sang Wan Lee , Young Ho Kang , Fengkai Ke
CPC classification number: G06T7/0012 , G06N3/045 , G06T2207/20081 , G06T2207/20084 , G06T2207/30016
Abstract: Provided are a computer system for automatically searching for a mental disorder diagnosis protocol and an method thereof that may determine at least one test region to be examined for a predetermined mental disorder diagnosis in a brain image of a patient based on a first artificial neural network, may determine a test process for the mental disorder diagnosis for the patient based on a second artificial neural network, and may provide a test protocol for the mental disorder diagnosis for the patient based on the test region and the test process. The computer system may visualize at least one of a position, a shape, a size, and an importance of the test region in the brain image. The test process may include test order of a plurality of test stages in which the brain image is to be used for the mental disorder diagnosis.
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公开(公告)号：US20210219858A1
公开(公告)日：2021-07-22
申请号：US16950095
申请日：2020-11-17
Inventor： Sang Wan Lee , Dongjae Kim
Abstract: Disclosed are a universal cognitive state decoder based on a brain signal and a method and apparatus for predicting an ultra-high performance complex behavior using the same. The method of predicting a complex behavior may include configuring a high-level cognitive state decoder based on a brain signal for classifying a human's high-level core cognitive state, configuring a universal cognitive state decoder by including a calculated value of the high-level cognitive state decoder in another cognitive state decoder as an input value, and predicting a human's complex behavior using the universal cognitive state decoder.
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7.发明申请公开(公告)号：US20200043359A1
公开(公告)日：2020-02-06
申请号：US16381954
申请日：2019-04-11
Inventor： Sang Wan Lee , JeeHang Lee , SangHyun Lee
Abstract: Disclosed is a strategy guide method performed by an artificial intelligence (AI)-based strategy guide system, the method including generating an environment that interacts with a user; and controlling a strategy of the user based on a preset multi-objectives by changing the environment in response to observing a decision making of the user in the environment
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