Patents by Inventor Patrick A. Deegan

Patrick A. Deegan 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).

  • High performance distributed system of record with confidence-based consensus
    Patent number: 12277559
    Abstract: A high-performance distributed ledger and transaction computing network fabric over which large numbers of transactions are processed concurrently in a scalable, reliable, secure and efficient manner. In one embodiment, the computing network core is configured to support a distributed blockchain network that organizes data in a manner that allows communication, processing and storage of blocks of the chain to be performed concurrently at very high performance and low latency, even when the transactions themselves originate from distant sources. This data organization relies on segmenting a transaction space within autonomous but cooperating computing nodes that are configured as a processing mesh. The system also provides for confidence-based consensus and automated fork resolution.
    Type: Grant
    Filed: November 27, 2019
    Date of Patent: April 15, 2025
    Assignee: Akamai Technologies, Inc.
    Inventors: David C. Carver, Leen K. Al Shenibr, Samuel Delaughter, Samuel Erb, Vladimir Shtokman, Patrick A Deegan, Thomas Houman
  • High performance distributed system of record with confidence-based consensus
    Publication number: 20200167779
    Abstract: A high-performance distributed ledger and transaction computing network fabric over which large numbers of transactions are processed concurrently in a scalable, reliable, secure and efficient manner. In one embodiment, the computing network core is configured to support a distributed blockchain network that organizes data in a manner that allows communication, processing and storage of blocks of the chain to be performed concurrently at very high performance and low latency, even when the transactions themselves originate from distant sources. This data organization relies on segmenting a transaction space within autonomous but cooperating computing nodes that are configured as a processing mesh. The system also provides for confidence-based consensus and automated fork resolution.
    Type: Application
    Filed: November 27, 2019
    Publication date: May 28, 2020
    Applicant: Akamai Technologies, Inc.
    Inventors: David C. Carver, Leen K. Al Shenibr, Samuel Delaughter, Samuel Erb, Vladimir Shtokman, Patrick A. Deegan, Thomas Houman
  • Training and operating industrial robots
    Patent number: 8958912
    Abstract: Robots may manipulate objects based on sensor input about the objects and/or the environment in conjunction with data structures representing primitive tasks and, in some embodiments, objects and/or locations associated therewith. The data structures may be created by instantiating respective prototypes during training by a human trainer.
    Type: Grant
    Filed: September 17, 2012
    Date of Patent: February 17, 2015
    Assignee: Rethink Robotics, Inc.
    Inventors: Bruce Blumberg, Rodney Brooks, Christopher J. Buehler, Patrick A. Deegan, Matthew DiCicco, Noelle Dye, Gerry Ens, Natan Linder, Michael Siracusa, Michael Sussman, Matthew M. Williamson
  • TRAINING AND OPERATING INDUSTRIAL ROBOTS
    Publication number: 20130345873
    Abstract: Robots may manipulate objects based on sensor input about the objects and/or the environment in conjunction with data structures representing primitive tasks and, in some embodiments, objects and/or locations associated therewith. The data structures may be created by instantiating respective prototypes during training by a human trainer.
    Type: Application
    Filed: September 17, 2012
    Publication date: December 26, 2013
    Applicant: Rethink Robotics, Inc.
    Inventors: Bruce Blumberg, Rodney Brooks, Christopher J. Buehler, Patrick A. Deegan, Matthew DiCicco, Noelle Dye, Gerry Ens, Natan Linder, Michael Siracusa, Michael Sussman, Matthew M. Williamson