Patents by Inventor Leo Dirac

Leo Dirac 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).

  • ISOLATION TECHNIQUES AT EXECUTION PLATFORMS USED FOR SENSITIVE DATA ANALYSIS
    Publication number: 20240348661
    Abstract: At a first resource to be used to perform a computing operation, a pair of execution environments is configured. I/O permissions of programs running in the different environments are based on respective sets of constraints. A program performs the operation in one of the environments, with input data being provided to the program from the second environment. A result of the operation is provided to a destination from the second environment.
    Type: Application
    Filed: June 24, 2024
    Publication date: October 17, 2024
    Applicant: Amazon Technologies, Inc.
    Inventors: Gowda Dayananda Anjaneyapura Range, Srinivasan Sankaran, Leo Dirac, Lakshmi Naarayanan Ramakrishnan, Stefano Stefani
  • Isolation techniques at execution platforms used for sensitive data analysis
    Patent number: 12052285
    Abstract: At a first resource to be used to perform a computing operation, a pair of execution environments is configured. I/O permissions of programs running in the different environments are based on respective sets of constraints. A program performs the operation in one of the environments, with input data being provided to the program from the second environment. A result of the operation is provided to a destination from the second environment.
    Type: Grant
    Filed: February 4, 2019
    Date of Patent: July 30, 2024
    Assignee: Amazon Technologies, Inc.
    Inventors: Gowda Dayananda Anjaneyapura Range, Srinivasan Sankaran, Leo Dirac, Lakshmi Naarayanan Ramakrishnan, Stefano Stefani
  • Rapid Deployment Machine Learning System
    Publication number: 20230117932
    Abstract: A machine learning system may be deployed with a less-than-optimal classification system, but may include a human in the loop system to rapidly assist in classification and deployment. The human's input may be returned as a response to a query and may also be stored for re-training the machine learning system. With a rapid human response, a machine learning system may be deployed and may “learn” over time. A multi-stage human intervention system may have a rapid response human interface, and if the first human encounters ambiguity, the request may be elevated to a second stage human expert for resolution. Such a system may be deployed using a generic or semi-generic classification system, and as the human responses are accumulated, the machine learning system may be repeatedly re-trained to reach a desired performance level.
    Type: Application
    Filed: October 14, 2021
    Publication date: April 20, 2023
    Applicant: Positronix, Inc.
    Inventors: Avi R. Geiger, Leo Dirac
  • Framework integration for instance-attachable accelerator
    Patent number: 11467835
    Abstract: Techniques for partitioning data flow operations between execution on a compute instance and an attached accelerator instance are described. A set of operations supported by the accelerator is obtained. A set of operations associated with the data flow is obtained. An operation in the set of operations associated with the data flow is identified based on the set of operations supported by the accelerator. The accelerator executes the first operation.
    Type: Grant
    Filed: November 23, 2018
    Date of Patent: October 11, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Sudipta Sengupta, Poorna Chand Srinivas Perumalla, Jalaja Kurubarahalli, Samuel Oshin, Cory Pruce, Jun Wu, Eftiquar Shaikh, Pragya Agarwal, David Thomas, Karan Kothari, Daniel Evans, Umang Wadhwa, Mark Klunder, Rahul Sharma, Zdravko Pantic, Dominic Rajeev Divakaruni, Andrea Olgiati, Leo Dirac, Nafea Bshara, Bratin Saha, Matthew Wood, Swaminathan Sivasubramanian, Rajankumar Singh