Patents by Inventor Laura E. Suarez

Laura E. Suarez 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).

  • Deep learning in bipartite memristive networks
    Patent number: 12387104
    Abstract: A bipartite memristive network and method of teaching such a network is described herein. In one example case, the memristive network can include a number of nanofibers, wherein each nanofiber comprises a metallic core and a memristive shell. The memristive network can also include a number of electrodes deposited upon the nanofibers. A first set of the number of electrodes can include input electrodes in the memristive network, and a second set of the number of electrodes can include output electrodes in the memristive network. The memristive network can be embodied as a bipartite memristive network and trained according to the method of teaching described herein.
    Type: Grant
    Filed: April 25, 2023
    Date of Patent: August 12, 2025
    Assignee: UNIVERSITY OF FLORIDA RESEARCH FOUNDATION, INC.
    Inventors: Jack D. Kendall, Juan C. Nino, Laura E. Suarez
  • DEEP LEARNING IN BIPARTITE MEMRISTIVE NETWORKS
    Publication number: 20230297839
    Abstract: A bipartite memristive network and method of teaching such a network is described herein. In one example case, the memristive network can include a number of nanofibers, wherein each nanofiber comprises a metallic core and a memristive shell. The memristive network can also include a number of electrodes deposited upon the nanofibers. A first set of the number of electrodes can include input electrodes in the memristive network, and a second set of the number of electrodes can include output electrodes in the memristive network. The memristive network can be embodied as a bipartite memristive network and trained according to the method of teaching described herein.
    Type: Application
    Filed: April 25, 2023
    Publication date: September 21, 2023
    Inventors: Jack D. Kendall, Juan C. Nino, Laura E. Suarez
  • DEEP LEARNING IN BIPARTITE MEMRISTIVE NETWORKS
    Publication number: 20180336470
    Abstract: A bipartite memristive network and method of teaching such a network is described herein. In one example case, the memristive network can include a number of nanofibers, wherein each nanofiber comprises a metallic core and a memristive shell. The memristive network can also include a number of electrodes deposited upon the nanofibers. A first set of the number of electrodes can include input electrodes in the memristive network, and a second set of the number of electrodes can include output electrodes in the memristive network. The memristive network can be embodied as a bipartite memristive network and trained according to the method of teaching described herein.
    Type: Application
    Filed: May 21, 2018
    Publication date: November 22, 2018
    Inventors: Jack D. Kendall, Juan C. Nino, Laura E. Suarez