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For the Inventor, By the Inventor

Belmont, CA, United States of America

Alex Fit-Florea

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This inventor holds 6 USPTO granted patents and 3 published patent applications. Top assignee: Nvidia Corporation. Active years: 2016-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Alex Fit-Florea. Retrieved from https://idiyas.com/inventor/alex-fit-florea

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

USPTO Granted Patents = 6 

% Patents Active = 100.0

Average Co-Inventor Count = 4.5

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • Belmont, CA (US) (2016 - 2021)
  • Los Altos Hills, CA (US) (2021)

Company Filing History:

goldMedal6 out of 6,195 
 
Nvidia Corporation
 patents

Years Active: 2016-2026

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6 patents (USPTO):Explore Patents
1. 12737278 - Detecting and optimizing program workload inefficiencies at runtime (2026-09-15),
2. 12443394 - Dynamic directional rounding (2025-10-14),
3. 12299577 - Tensor processing using low precision format (2025-05-13),
4. 10997492 - Automated methods for conversions to a lower precision data format (2021-05-04),
5. 10908878 - Dynamic directional rounding (2021-02-02),
6. 9448806 - Circuit and method for identifying exception cases in a floating-point unit and graphics processing unit employing the same (2016-09-20),

Title: Alex Fit-Florea: Innovator in Neural Network Technologies

Introduction

Alex Fit-Florea is a prominent inventor based in Belmont, CA, known for his contributions to the field of artificial intelligence and neural networks. With a total of 6 patents to his name, he has made significant strides in improving computational techniques that enhance the performance of neural networks.

Latest Patents

Among his latest innovations is the patent for Dynamic Directional Rounding. This method involves a computer-readable medium and system designed for rounding floating point values. The technique identifies the sign of an operand to determine the direction in which the floating point result is rounded, ensuring that rounding is performed in the direction of the gradient during neural network backpropagation. Another notable patent is for Tensor Processing Using Low Precision Format. This invention focuses on improving the training of artificial neural networks by utilizing a reduced precision data format, such as float16. It involves rescaling tensor values before matrix operations to prevent overflow and underflow, thereby preserving accuracy throughout the computations.

Career Highlights

Alex Fit-Florea is currently employed at Nvidia Corporation, a leading company in graphics processing and AI technologies. His work at Nvidia has allowed him to explore innovative solutions that push the boundaries of what is possible in machine learning and artificial intelligence.

Collaborations

Throughout his career, Alex has collaborated with talented individuals such as Boris Ginsburg and Amir Gholaminejad. These collaborations have fostered an environment of creativity and innovation, leading to groundbreaking advancements in their respective fields.

Conclusion

Alex Fit-Florea's contributions to neural network technologies exemplify the spirit of innovation in the tech industry. His patents reflect a deep understanding of computational techniques that are essential for the advancement of artificial intelligence.

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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