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For the Inventor, By the Inventor

Hillsboro, OR, United States of America

Eriko Nurvitadhi

This inventor holds 90 USPTO granted patents and 28 published patent applications and 29 EPO patents, primarily in Machine Learning Hardware (CPC class G06N3-063). Top assignees: Intel Corporation, Altera Corporation. Active years: 2018-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Eriko Nurvitadhi. Retrieved from https://idiyas.com/inventor/eriko-nurvitadhi

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

USPTO Granted Patents = 90 

% Patents Active = 98.9

 

Average Co-Inventor Count = 8.9

ph-index = 13

Forward Citations = 555(Granted Patents)

Forward Citations (Not Self Cited) = 398(Dec 10, 2025)


Inventors with similar research interests:

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Location History:

  • Hillsboro, CA (US) (2020)
  • San Jose, CA (US) (2022)
  • Beaverton, OR (US) (2022)
  • Hillsoboro, OR (US) (2021 - 2023)
  • Hillsboro, OR (US) (2018 - 2024)
  • Portland, OR (US) (2020 - 2024)

Company Filing History:

goldMedal84 out of 56,322 
 
Intel Corporation
 patents
silverMedal6 out of 4,333 
 
Altera Corporation
 patents

Years Active: 2018-2026

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Areas of Expertise:
Neural Network Scheduling
Machine Learning Accelerator
Compute Optimization
Graphics Processing
Integrated Circuit Package
Sparse Computation
Dynamic Precision
Heterogeneous Computing
Fixed Function Hardware
Thread Group Scheduling
Voltage Regulator Circuit
Compute-in-Memory
90 patents (USPTO):Explore Patents
1. 12748618 - Systems, methods, and apparatuses for heterogeneous computing (2026-09-29),
2. 12608600 - Specialized fixed function hardware for efficient convolution (2026-04-21),
3. 12585602 - Systems and methods for processor circuits (2026-03-24),
4. 12536130 - Graphics processing integrated circuit package (2026-01-27),
5. 12499347 - Neural network scheduling mechanism (2025-12-16),
6. 12430131 - Compute optimizations for neural networks (2025-09-30),
7. 12417380 - Machine learning accelerator mechanism (2025-09-16),
8. 12380326 - Machine learning sparse computation mechanism for arbitrary neural networks, arithmetic compute microarchitecture, and sparsity for training mechanism (2025-08-05),
9. 12346798 - Dynamic precision for neural network compute operations (2025-07-01),
10. 12326749 - Supply voltage control systems and methods for integrated circuits (2025-06-10),
11. 12255648 - Circuit systems and methods for reducing power supply voltage droop (2025-03-18),
12. 12254316 - Vector processor architectures (2025-03-18),
13. 12253870 - Voltage regulator circuit systems and methods (2025-03-18),
14. 12217053 - Instructions and logic to perform floating point and integer operations for machine learning (2025-02-04),
15. 12210900 - Efficient thread group scheduling (2025-01-28),

Title: The Innovative Journey of Eriko Nurvitadhi

Introduction: Eriko Nurvitadhi, a talented inventor based in Hillsboro, Oregon, has made significant contributions to the field of technology through his groundbreaking innovations and patents.

Latest Patents: Eriko Nurvitadhi holds several patents in the areas of artificial intelligence, machine learning, and semiconductor technology, showcasing his expertise and creativity in these cutting-edge fields.

Career Highlights: With a background in computer science and engineering, Eriko Nurvitadhi has had a successful career working for leading tech companies, where he has spearheaded projects that have pushed the boundaries of innovation.

Collaborations: Throughout his career, Eriko Nurvitadhi has collaborated with top researchers, engineers, and developers to bring his ideas to life, leading to the successful implementation of novel technologies in various industries.

Conclusion: Eriko Nurvitadhi's passion for innovation and his dedication to advancing technology have established him as a respected figure in the world of inventions. His work continues to inspire future generations of inventors and researchers in the ever-evolving tech landscape.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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