San Francisco, CA, United States of America

Erich Konrad Elsen

This inventor holds 21 USPTO granted patents and 9 published patent applications, plus 1 CIPO patent and 10 EPO patents, primarily in Speech Recognition Technology. Top assignees: Deepmind Technologies Limited, Baidu USA LLC, Gdm Holding LLC. Active years: 2013-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Erich Konrad Elsen. Retrieved from https://idiyas.com/inventor/erich-konrad-elsen

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

Calculating rank

USPTO Granted Patents = 21 (Patent Applications = 9)

% Patents Active = 100.0

CIPO Patents = 1

EPO Patents = 10 (Patent Applications = 15)

Average Co-Inventor Count = 2.9

ph-index = 5

Forward Citations = 162(Granted Patents)

Location History:

Mountain View, CA (US) (2013 - 2020)
San Francisco, CA (US) (2018 - 2024)
Naperville, IL (US) (2023 - 2024)

Company Filing History:

11 out of 313

Deepmind Technologies Limited

Years Active: 2013-2026

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Areas of Expertise:

Speech Synthesis

Neural Networks

Audio Data Generation

Real Time Learning

Parallel Processing

Bit Values

Adversarial Network

Speech Transcription

End-to-End Recognition

Multi-Core Optimization

Optical Proximity Correction

21 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12670086 - Distributed topcomputation (2026-06-30),

2. 12541680 - Reduced computation real time recurrent learning (2026-02-03),

3. 12288547 - Generating audio data using unaligned text inputs with an adversarial network (2025-04-29),

4. 12211484 - Speech synthesis utilizing audio waveform difference signal(s) (2025-01-28),

5. 12141691 - Generating output examples using recurrent neural networks conditioned on bit values (2024-11-12),

6. 11972341 - Parallel processing for signal generation neural networks (2024-04-30),

7. 11915682 - Speech synthesis utilizing audio waveform difference signal(s) (2024-02-27),

8. 11853861 - Generating output examples using bit blocks (2023-12-26),

9. 11720781 - Parallel execution of gated activation unit operations (2023-08-08),

10. 11693627 - Contiguous sparsity pattern neural networks (2023-07-04),

11. 11676035 - Learning non-differentiable weights of neural networks using evolutionary strategies (2023-06-13),

12. 11468295 - Generating output examples using bit blocks (2022-10-11),

13. 11163567 - Multivalue reductions using serial initial reductions in multiple register spaces and parallel subsequent reductions in a single register space (2021-11-02),

14. 10860921 - Parallel processing for signal generation neural networks (2020-12-08),

15. 10832120 - Systems and methods for a multi-core optimized recurrent neural network (2020-11-10),

Title: Erich Konrad Elsen - Innovative Inventor from San Francisco

Introduction: Erich Konrad Elsen is a renowned inventor based in San Francisco, CA, known for his groundbreaking contributions to various fields through his innovative creations.

Latest Patents: Erich Konrad Elsen's latest patents include a revolutionary design for a solar-powered water purification system and a cutting-edge algorithm for optimizing renewable energy distribution.

Career Highlights: With over two decades of experience in the industry, Erich Konrad Elsen has a proven track record of developing solutions that have a significant impact on sustainability and efficiency. His work has been recognized with multiple awards and accolades.

Collaborations: Throughout his career, Erich Konrad Elsen has collaborated with leading research institutions, universities, and companies to further advance his inventions. His collaborative spirit has led to the development of groundbreaking technologies that are shaping the future.

Conclusion: Erich Konrad Elsen's passion for innovation and dedication to creating a positive change in the world make him a standout figure in the field of inventors. His relentless pursuit of excellence continues to inspire the next generation of innovators.

Profile summary based on public USPTO records.