Patents by Inventor Hao-Yuan Chang

Hao-Yuan Chang 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).

  • Publication number: 20240113071
    Abstract: An integrated circuit package including electrically floating metal lines and a method of forming are provided. The integrated circuit package may include integrated circuit dies, an encapsulant around the integrated circuit dies, a redistribution structure on the encapsulant, a first electrically floating metal line disposed on the redistribution structure, a first electrical component connected to the redistribution structure, and an underfill between the first electrical component and the redistribution structure. A first opening in the underfill may expose a top surface of the first electrically floating metal line.
    Type: Application
    Filed: January 5, 2023
    Publication date: April 4, 2024
    Inventors: Chung-Shi Liu, Mao-Yen Chang, Yu-Chia Lai, Kuo-Lung Pan, Hao-Yi Tsai, Ching-Hua Hsieh, Hsiu-Jen Lin, Po-Yuan Teng, Cheng-Chieh Wu, Jen-Chun Liao
  • Patent number: 11449735
    Abstract: Described is a system for computing conditional probabilities of random variables for Bayesian inference. The system implements a spiking neural network of neurons to compute the conditional probability of two random variables X and Y. The spiking neural network includes an increment path for a synaptic weight that is proportional to a product of the synaptic weight and a probability of X, a decrement path for the synaptic weight that is proportional to a probability of X, Y, and delay and spike timing dependent plasticity (STDP) parameters such that the synaptic weight increases and decreases with the same magnitude for a single firing event.
    Type: Grant
    Filed: September 20, 2019
    Date of Patent: September 20, 2022
    Assignee: HRL LABORATORIES, LLC
    Inventors: Hao-Yuan Chang, Aruna Jammalamadaka, Nigel D. Stepp
  • Publication number: 20200026981
    Abstract: Described is a system for computing conditional probabilities of random variables for Bayesian inference. The system implements a spiking neural network of neurons to compute the conditional probability of two random variables X and Y. The spiking neural network includes an increment path for a synaptic weight that is proportional to a product of the synaptic weight and a probability of X, a decrement path for the synaptic weight that is proportional to a probability of X, Y, and delay and spike timing dependent plasticity (STDP) parameters such that the synaptic weight increases and decreases with the same magnitude for a single firing event.
    Type: Application
    Filed: September 20, 2019
    Publication date: January 23, 2020
    Inventors: Hao-Yuan Chang, Aruna Jammalamadaka, Nigel D. Stepp
  • Patent number: 10147045
    Abstract: A circuit that makes use of chaos or self-organized criticality to generate a matrix of bits for computation and information processing. The example embodiment utilizes CMOS circuitry and can solve optimization problems. A plurality of unit cells includes multiple transistors in a lattice formation that set voltages as state variables to other transistor cells. Adjustable bifurcation parameters are utilized to bring the chaotic circuit in and out of the chaotic regime. A processing unit with software are utilized for implanting a problem of interest into the chaotic circuit, while data latches or analog to digital converters provide for reading out the voltages from the chaotic circuit.
    Type: Grant
    Filed: November 8, 2016
    Date of Patent: December 4, 2018
    Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Kang L. Wang, Hao-Yuan Chang
  • Publication number: 20170124477
    Abstract: A circuit that makes use of chaos or self-organized criticality to generate a matrix of bits for computation and information processing. The example embodiment utilizes CMOS circuitry and can solve optimization problems. A plurality of unit cells includes multiple transistors in a lattice formation that set voltages as state variables to other transistor cells. Adjustable bifurcation parameters are utilized to bring the chaotic circuit in and out of the chaotic regime. A processing unit with software are utilized for implanting a problem of interest into the chaotic circuit, while data latches or analog to digital converters provide for reading out the voltages from the chaotic circuit.
    Type: Application
    Filed: November 8, 2016
    Publication date: May 4, 2017
    Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Kang L. Wang, Hao-Yuan Chang