Patents by Inventor Chansoo Lee

Chansoo Lee has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11977973
    Abstract: A neuron circuit and an operating method thereof are disclosed. The neuron circuit may include an input unit to which an input pulse is applied, a bipolar memristor configured to have one end connected to one end of the input unit, a first capacitor configured to be connected between the one end of the bipolar memristor and a ground, a first diode configured to have an anode connected to the one end of the bipolar component, a second capacitor configured to have one end connected to a cathode of the first diode, a first switch configured to be connected between the one end of the second capacitor and the ground, and a second switch configured to be connected between the anode of the first diode and the other end of the second capacitor.
    Type: Grant
    Filed: October 30, 2019
    Date of Patent: May 7, 2024
    Assignees: Electronics and Telecommunications Research Institute, Konkuk University Industrial Cooperation Corp
    Inventors: Jong Pil Im, Bae Ho Park, Jeong Hun Kim, Seungeon Moon, Chansoo Yoon, Jaewoo Lee, Solyee Im
  • Publication number: 20240104394
    Abstract: Provided are computing systems, methods, and platforms that automatically produce production-ready machine learning models and deployment pipelines from minimal input information such as a raw training dataset. In particular, one example computing system can import a training dataset associated with a user. The computing system can execute an origination machine learning pipeline to perform a model architecture search that selects and trains a machine learning model for the training dataset. Execution of the origination machine learning pipeline can also result in generation of a deployment machine learning pipeline configured to enable deployment of the machine learning model (e.g., running the machine learning model to produce inferences and/or optionally other tasks such as re-training and/or re-tuning the model).
    Type: Application
    Filed: March 11, 2022
    Publication date: March 28, 2024
    Inventors: Amy Skerry-Ryan, Quentin Lascombes de Laroussilhe, Ronald Rong Yang, Carla Marie Riggi, Chansoo Lee, Jordan Arthur Grimstad, Christopher Mark Lamb, Joseph Michael Moran, Nihesh Anderson Klutto Milleth, Noah Weston Hadfield-Menell, Volodymyr Shtenovych, Ziqi Huang, Sagi Perel, Michael David Gerard, Mehadi Seid Hassen
  • Patent number: 11940620
    Abstract: A method of cleaning a collector of an extreme ultraviolet light source system includes introducing the collector separated from the extreme ultraviolet light source system into a chamber; capturing an optical image of a reflective surface of the collector; measuring a contamination level of the reflective surface by comparing the optical image with a prestored standard image; performing a first cleaning operation if the contamination level exceeds a preset first reference value, the first cleaning operation including cleaning the reflective surface by spraying dry ice particles onto the reflective surface; and performing a second cleaning operation if the contamination level is less than or equal to the preset first reference value. The second cleaning operation includes cleaning the reflective surface by radiating atmospheric plasma onto the reflective surface and measuring a microcontamination level and a damage level of the reflective surface.
    Type: Grant
    Filed: October 22, 2021
    Date of Patent: March 26, 2024
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Changsoon Lim, Youngdo Kim, Daewon Kang, Chansoo Kang, Hoonseop Kim, Sangki Nam, Youngduk Suh, Donghyub Lee, Jonghun Pi
  • Publication number: 20230401451
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a machine learning model. One of the methods includes receiving metadata for the training, generating a metadata sequence that represents the metadata, at each of a plurality of iterations: generating one or more trials that each specify a respective value for each of a set of hyperparameters, comprising, for each trial: generating an input sequence for the iteration that comprises (i) the metadata sequence and (ii) for any earlier trials, a respective sequence that represents the respective values for the hyperparameters specified by the earlier trial and a measure of performance for the trial, and processing an input sequence for the trial that comprises the input sequence for the iteration using a sequence generation neural network to generate an output sequence that represents respective values for the hyperparameters.
    Type: Application
    Filed: May 19, 2023
    Publication date: December 14, 2023
    Inventors: Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Qiuyi Zhang, David Martin Dohan, Sagi Perel, Joao Ferdinando Gomes de Freitas
  • Publication number: 20100108701
    Abstract: A splash-resistant drinking device for use with a lid of a cup. The device includes a stem that insertably engages an outlet opening of the lid. The stem has upper and lower opposed ends, a top opening adjacent the upper end, a bottom opening adjacent the lower end, and a cavity extending between the top and bottom openings. The stem is sized and shaped so as to be insertable into the outlet opening of the lid such that the lower end, and hence the bottom opening, are immersed in liquid contained in the cup. A column of the liquid is contained within the cavity, thereby inhibiting the splashing of the liquid through the outlet opening.
    Type: Application
    Filed: October 28, 2009
    Publication date: May 6, 2010
    Inventors: Seungsoo Lee, Chansoo Lee