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For the Inventor, By the Inventor

Helsinki, Finland

Tero Tapani Karras

This inventor holds 85 USPTO granted patents and 25 published patent applications, primarily in Generative Neural Networks (CPC class G06T15-06). Top assignees: Nvidia Corporation, Nividia Corporation, Nvidia Corporaton. Active years: 2013-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Tero Tapani Karras. Retrieved from https://idiyas.com/inventor/tero-tapani-karras

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

Calculating rank
USPTO Granted Patents = 85 

% Patents Active = 98.8

Average Co-Inventor Count = 3.9

ph-index = 11

Forward Citations = 433(Granted Patents)

Forward Citations (Not Self Cited) = 324(Dec 10, 2025)


Inventors with similar research interests:

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Location History:

  • Espoo, FI (2014)
  • Helsinki, FI (2013 - 2024)
  • Uusimaa, FI (2020 - 2024)

Company Filing History:

goldMedal83 out of 6,228 
 
Nvidia Corporation
 patents
silverMedal1 out of 3 
 
Nividia Corporation
 patents
bronzeMedal1 out of 3 
 
Nvidia Corporaton
 patents

Years Active: 2013-2026

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Areas of Expertise:
Image Synthesis
Video Compression
Neural Networks
Generative Models
Content Synthesis
Denoising Diffusion
Inverse Rendering
Machine Learning
Tomography Reconstruction
Ray Tracing
Behavioral Modification
Cache Scheduling
85 patents (USPTO):Explore Patents
1. 12693980 - Method for efficient grouping of cache requests for datapath scheduling (2026-07-28),
2. 12675701 - Method for few-shot unsupervised image-to-image translation (2026-07-07),
3. 12567197 - Image synthesis using diffusion models created from single or multiple view images (2026-03-03),
4. 12566607 - Robust, efficient multiprocessor-coprocessor interface (2026-03-03),
5. 12536733 - Single-image inverse rendering (2026-01-27),
6. 12506886 - Video compression using neural networks (2025-12-23),
7. 12423781 - Techniques for content synthesis using denoising diffusion models (2025-09-23),
8. 12333638 - Generating images of object motion using one or more neural networks (2025-06-17),
9. 12321825 - Training neural networks with limited data using invertible augmentation operators (2025-06-03),
10. 12254410 - Machine learning technique for automatic modeling of multiple-valued outputs (2025-03-18),
11. 12198255 - Query-specific behavioral modification of tree traversal (2025-01-14),
12. 12198253 - Method for handling of out-of-order opaque and alpha ray/primitive intersections (2025-01-14),
13. 12153783 - User interfaces and methods for generating a new artifact based on existing artifacts (2024-11-26),
14. 12148088 - Method for continued bounding volume hierarchy traversal on intersection without shader intervention (2024-11-19),
15. 12142016 - Fused processing of a continuous mathematical operator (2024-11-12),

Title: The Innovative Mind of Tero Tapani Karras

Introduction: Tero Tapani Karras is a visionary inventor hailing from Helsinki, Finland. With a passion for pushing the boundaries of technology, he has made significant contributions to the field of innovations.

Latest Patents: Tero Tapani Karras holds several patents in the areas of artificial intelligence, machine learning, and computer vision. His recent patents focus on enhancing image processing algorithms for various applications.

Career Highlights: Throughout his career, Tero Tapani Karras has worked with leading tech companies to develop cutting-edge solutions. His expertise in software development and algorithm design has led to the creation of groundbreaking technologies.

Collaborations: Tero Tapani Karras has collaborated with top research institutions and universities to further his research in the field of artificial intelligence. His partnerships have resulted in the development of innovative products that have revolutionized the industry.

Conclusion: Tero Tapani Karras is a trailblazing inventor whose work continues to inspire and shape the future of technology. With a relentless drive for innovation, he remains at the forefront of technological advancements, making him a true pioneer in his field.

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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