Risto Miikkulainen

This inventor holds 37 USPTO granted patents and 14 published patent applications, plus 5 CIPO patents, primarily in Deep Learning Optimization. Top assignees: Cognizant Technology Solutions U.S. Corporation, Evolv Technology Solutions, Inc., Cognizant Technology Solutions U.S. Corportion. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Risto Miikkulainen. Retrieved from https://idiyas.com/inventor/risto-miikkulainen

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

USPTO Granted Patents = 37 (Patent Applications = 14)

% Patents Active = 97.3

CIPO Patents = 5 (Patent Applications = 6)

Average Co-Inventor Count = 2.3

ph-index = 5

Forward Citations = 69(Granted Patents)

Company Filing History:

26 out of 50

Cognizant Technology Solutions U.S. Corporation

patents

9 out of 16

Evolv Technology Solutions, Inc.

patents

1 out of 2

Cognizant Technology Solutions U.S. Corportion

patents

where one patent can have more than one assignee

Years Active: 2019-2026

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Areas of Expertise:

Deep Neural Networks

Evolutionary Optimization

Generative Adversarial Networks

Data Augmentation

Machine Learning

Multiobjective Coevolution

Webinterface Generation

Predictive Uncertainty

Loss Function Optimization

Modular Reparameterization

Novelty Search

Task Augmentation

37 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12572810 - System and method for generating improved prescriptors (2026-03-10),

2. 12566942 - System and method for generating parametric activation functions (2026-03-03),

3. 12406188 - System and method for evolved data augmentation and selection (2025-09-02),

4. 12292944 - Loss function optimization using Taylor series expansion (2025-05-06),

5. 12282845 - Multiobjective coevolution of deep neural network architectures (2025-04-21),

6. 12217148 - Presentation module for webinterface production and deployment system (2025-02-04),

7. 12099934 - Framework for interactive exploration, evaluation, and improvement of AI-generated solutions (2024-09-24),

8. 12050978 - Webinterface generation and testing using artificial neural networks (2024-07-30),

9. 12033079 - System and method for pseudo-task augmentation in deep multitask learning (2024-07-09),

10. 12026624 - System and method for loss function metalearning for faster, more accurate training, and smaller datasets (2024-07-02),

11. 11995559 - Enhancing evolutionary optimization in uncertain environments by allocating evaluations via multi-armed bandit algorithms (2024-05-28),

12. 11803730 - Webinterface presentation using artificial neural networks (2023-10-31),

13. 11783195 - Process and system including an optimization engine with evolutionary surrogate-assisted prescriptions (2023-10-10),

14. 11681901 - Quantifying the predictive uncertainty of neural networks via residual estimation with I/O kernel (2023-06-20),

15. 11669716 - System and method for implementing modular universal reparameterization for deep multi-task learning across diverse domains (2023-06-06),

Title: Risto Miikkulainen: Innovator in AI and Web Interface Technologies

Introduction: Risto Miikkulainen is a prominent inventor based in Stanford, California, known for his significant contributions to the fields of artificial intelligence and web interface technologies. With an impressive portfolio of 32 patents, Risto has dedicated his career to creating innovative solutions that enhance user interaction and make machine learning more accessible and trustworthy.

Latest Patents: Among Risto's recent innovations are two noteworthy patents. The first, "Presentation Module for Webinterface Production and Deployment System," focuses on a web interface production and deployment system. This technology employs a presentation module that applies a selected candidate individual to a presentation database, facilitating the determination of frontend element values aligned with identified dimension values. This allows for a user-friendly presentation funnel that showcases the determined frontend element values.

The second patent, "Framework for Interactive Exploration, Evaluation, and Improvement of AI-Generated Solutions," introduces user-driven exploration functionality in machine learning systems. This innovative feature, known as the Scratchpad, enables users to interactively modify suggestions from the Prescriptor model and evaluate the changes with the Predictor model. This collaboration between human experts and AI enhances the solution design process, promoting trust and transparency in the derived outcomes.

Career Highlights: Risto has worked with several reputable companies, including Cognizant Technology Solutions U.S. Corporation and Evolv Technology Solutions, Inc. His experience across these organizations has allowed him to refine his expertise in developing cutting-edge technologies that bridge the gap between artificial intelligence and user experience.

Collaborations: Throughout his career, Risto has collaborated with notable peers such as Elliot Meyerson and Hormoz Shahrzad. These partnerships have contributed to the innovative atmosphere surrounding his projects, further enhancing the impact of his technological advancements.

Conclusion: Risto Miikkulainen stands out as a visionary inventor whose work has significantly influenced the realms of artificial intelligence and web interfaces. His 32 patents demonstrate a strong commitment to innovation and collaboration, setting a benchmark for future advancements in these dynamic fields.

Profile summary based on public USPTO records.