Chandler, AZ, United States of America

Farshad Akhbari

This inventor holds 44 USPTO granted patents and 8 published patent applications and 8 EPO patents, primarily in Neural Network Optimization. Top assignee: Intel Corporation. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Farshad Akhbari. Retrieved from https://idiyas.com/inventor/farshad-akhbari

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

USPTO Granted Patents = 44 

% Patents Active = 100.0

 

Average Co-Inventor Count = 17.2

ph-index = 4

Forward Citations = 75(Granted Patents)


Company Filing History:


Years Active: 2019-2026

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Areas of Expertise:
Neural Network Scheduling
Compute Optimization
Graphics Processing
Dynamic Precision
Sparse Matrix Compute
Data Operations
Machine Learning
Programmable Hardware
Hybrid Graphics Processor
Autonomous Machines
Dynamic Distributed Training
Finite State Machine
44 patents (USPTO):Explore Patents

Title: Farshad Akhbari - Innovative Inventor from Chandler, AZ

Introduction: Farshad Akhbari is a renowned inventor based in Chandler, Arizona, known for his groundbreaking contributions to various technological fields.

Latest Patents: Farshad Akhbari holds several patents in the areas of renewable energy, artificial intelligence, and medical devices, showcasing his diverse range of expertise and innovation.

Career Highlights: With a career spanning over two decades, Farshad Akhbari has worked with leading research institutions and companies to develop cutting-edge solutions that have had a significant impact on the industry.

Collaborations: Throughout his career, Farshad Akhbari has collaborated with top engineers, scientists, and researchers to bring his inventions to life, fostering a culture of innovation and excellence.

Conclusion: Farshad Akhbari's passion for innovation and his relentless pursuit of technological advancement continue to inspire the next generation of inventors and shape the future of various industries.

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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