Samuli Matias Laine

This inventor holds 96 USPTO granted patents and 23 published patent applications, primarily in Generative Neural Networks (CPC class G06T15-06). Top assignees: Nvidia Corporation, Nividia Corporation. Active years: 2011-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Samuli Matias Laine. Retrieved from https://idiyas.com/inventor/samuli-matias-laine

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

USPTO Granted Patents = 96 (Patent Applications = 23)

% Patents Active = 99.0

Average Co-Inventor Count = 3.9

ph-index = 13

Forward Citations = 571(Granted Patents)

Forward Citations (Not Self Cited) = 424(Dec 10, 2025)

Inventors with similar research interests:

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Location History:

Helsinki, FI (2013 - 2016)
Vantaa, FI (2011 - 2024)
Uusimaa, FI (2020 - 2024)

Company Filing History:

Years Active: 2011-2026

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Areas of Expertise:

Video Compression

Neural Networks

Generative Adversarial Networks

Machine Learning

Image Reconstruction

Data Augmentation

Ray Tracing

Content Synthesis

Denoising Diffusion Models

Cache Request Grouping

Gaze Estimation

Three-Dimensional Tomography

96 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12693980 - Method for efficient grouping of cache requests for datapath scheduling (2026-07-28),

2. 12566607 - Robust, efficient multiprocessor-coprocessor interface (2026-03-03),

3. 12506886 - Video compression using neural networks (2025-12-23),

4. 12482235 - Synthetic infrared image generation for machine learning of gaze estimation (2025-11-25),

5. 12423781 - Techniques for content synthesis using denoising diffusion models (2025-09-23),

6. 12321825 - Training neural networks with limited data using invertible augmentation operators (2025-06-03),

7. 12254410 - Machine learning technique for automatic modeling of multiple-valued outputs (2025-03-18),

8. 12198255 - Query-specific behavioral modification of tree traversal (2025-01-14),

9. 12198253 - Method for handling of out-of-order opaque and alpha ray/primitive intersections (2025-01-14),

10. 12153783 - User interfaces and methods for generating a new artifact based on existing artifacts (2024-11-26),

11. 12148088 - Method for continued bounding volume hierarchy traversal on intersection without shader intervention (2024-11-19),

12. 12142016 - Fused processing of a continuous mathematical operator (2024-11-12),

13. 12141941 - Generative neural networks with reduced aliasing (2024-11-12),

14. 12124378 - Method for efficient grouping of cache requests for datapath scheduling (2024-10-22),

15. 12067669 - Watertight ray triangle intersection (2024-08-20),

Title: Samuli Matias Laine: Innovator in Tree Traversal Technologies

Introduction

Samuli Matias Laine is a distinguished inventor based in Vantaa, Finland, with an impressive portfolio of 89 patents. His work primarily focuses on advancements in tree traversal algorithms and hardware implementations. His innovative contributions have significantly impacted the fields of computer graphics and data structures.

Latest Patents

Laine's latest patents showcase his expertise in query-specific behavioral modification of tree traversal. He describes methods and systems that change the traversal of an acceleration data structure in a dynamic manner, responding adaptively to specific queries. One notable implementation involves ray tracing, wherein the default traversal behavior of a bounding volume hierarchy can be altered based on test results generated during a query execution.

Another recent patent addresses a method for handling out-of-order opaque and alpha ray/primitive intersections. This involves a hardware-based traversal coprocessor that accelerates tree traversal operations to identify intersections between triangular primitives and rays in a virtual scene. The coprocessor ensures a deterministic outcome of intersected triangles regardless of processing order, optimizing performance in complex rendering scenarios.

Career Highlights

Throughout his career, Samuli Laine has contributed to renowned companies such as Nvidia Corporation and Nividia Corporation. His work in these organizations has positioned him as a key innovator in the development of advanced graphical technologies. His patents highlight not only his technical skills but also his contribution to improving efficiency in computational processes.

Collaborations

Collaboration has been vital to Laine’s success. He has worked alongside prominent colleagues such as Tero Tapani Karras and Timo Oskari Aila, pooling their expertise to push the boundaries of technology in their field. These partnerships have facilitated the rapid advancement of methods and systems in tree traversal and rendering technologies.

Conclusion

Samuli Matias Laine exemplifies the spirit of innovation through his substantial contributions to tree traversal technologies. His inventive spirit is reflected in his substantial patent portfolio and collaborative efforts with industry-leading companies and fellow innovators. As the field of computer graphics continues to evolve, Laine’s work is sure to play a pivotal role in shaping its future.

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]

23 patents pending: