Dublin, Ireland

Jakub Marecek

This inventor holds 17 USPTO granted patents and 7 published patent applications and 1 EPO patent, primarily in Artificial Intelligence. Top assignee: International Business Machines Corporation. Active years: 2018-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jakub Marecek. Retrieved from https://idiyas.com/inventor/jakub-marecek

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

Calculating rank
USPTO Granted Patents = 17 

% Patents Active = 64.7

 

Average Co-Inventor Count = 3.9

ph-index = 3

Forward Citations = 27(Granted Patents)


Company Filing History:


Years Active: 2018-2024

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Areas of Expertise:
Deep Learning
Disruption Forecasting
Traffic Control
Data Mining
Adaptive Headlights
Cognitive Systems
Resource Consumption
Mixed-Criticality Optimization
Embedded Systems
PDE Models
17 patents (USPTO):Explore Patents

Title: The Innovative Mind of Jakub Marecek

Introduction: Jakub Marecek is a visionary inventor based in Dublin, Ireland, known for his groundbreaking contributions to various technological fields.

Latest Patents: Jakub Marecek holds several patents in the areas of artificial intelligence, renewable energy, and medical devices, showcasing his diverse range of expertise and innovative spirit.

Career Highlights: With a background in engineering and a passion for problem-solving, Jakub Marecek has successfully brought numerous inventions from concept to reality, revolutionizing industries along the way.

Collaborations: Throughout his career, Jakub Marecek has collaborated with leading research institutions, universities, and tech companies to further develop his inventions and bring them to the market, solidifying his reputation as a forward-thinking inventor.

Conclusion: Jakub Marecek's relentless pursuit of innovation and his commitment to pushing the boundaries of technology make him a true pioneer in the world of inventions, with his impact resonating across various sectors globally.

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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