San Francisco, CA, United States of America

Milad Olia Hashemi

This inventor holds 12 USPTO granted patents and 5 published patent applications, plus 1 CIPO patent and 3 EPO patents. Top assignee: Google Inc.. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Milad Olia Hashemi. Retrieved from https://idiyas.com/inventor/milad-olia-hashemi

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 12 (Patent Applications = 5)

% Patents Active = 100.0

CIPO Patents = 1

EPO Patents = 3 (Patent Applications = 7)

Average Co-Inventor Count = 3.4

ph-index = 1

Forward Citations = 3(Granted Patents)

Company Filing History:

12 out of 33,920

Google Inc.

patents

Years Active: 2020-2026

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12 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12572793 - Subroutine neural networks (2026-03-10),

2. 12561757 - Image super-resolution neural networks (2026-02-24),

3. 12493556 - Hardware control system to modulate prefetchers based on runtime telemetry (2025-12-09),

4. 12423101 - Hardware guided software prefetch insertion (2025-09-23),

5. 12387086 - Multi-task recurrent neural networks (2025-08-12),

6. 12229007 - Image models to predict memory failures in computing systems (2025-02-18),

7. 12175351 - Computer system prediction machine learning models (2024-12-24),

8. 12033056 - Multi-task recurrent neural networks (2024-07-09),

9. 11853161 - Image models to predict memory failures in computing systems (2023-12-26),

10. 11416733 - Multi-task recurrent neural networks (2022-08-16),

11. 11275744 - Disaggregating latent causes for computer system optimization (2022-03-15),

12. 10650001 - Disaggregating latent causes for computer system optimization (2020-05-12),

Title: Milad Olia Hashemi: Innovator in Software and Neural Networks

Introduction

Milad Olia Hashemi is a prominent inventor based in San Francisco, CA, known for his significant contributions to the fields of software engineering and neural networks. With a total of nine patents to his name, Hashemi has made strides in enhancing the efficiency of software prefetching and the functionality of recurrent neural networks.

Latest Patents

Hashemi's latest patents include innovative approaches such as "Hardware Guided Software Prefetch Insertion." This patent outlines a method for identifying target code locations for software prefetching instructions based on hardware prefetching information. The technique involves monitoring hardware cache events related to processor activities to determine code locations that may benefit from hardware prefetchers. Another notable patent is focused on "Multi-Task Recurrent Neural Networks." This invention describes methods and systems for maintaining separate internal states for various memory regions within a recurrent neural network, allowing for improved processing of inputs and enhanced prediction accuracy.

Career Highlights

Milad Olia Hashemi is currently employed at Google Inc., where he applies his expertise in software development and machine learning. His work at Google has positioned him at the forefront of technological advancements in software and artificial intelligence.

Collaborations

Hashemi collaborates with talented individuals such as Jamie Alexander Smith and Kevin Jordan Swersky, contributing to a dynamic and innovative work environment.

Conclusion

Milad Olia Hashemi's contributions to software prefetching and neural networks exemplify his role as a leading inventor in the tech industry. His innovative patents and work at Google continue to influence advancements in technology.

Profile summary based on public USPTO records.