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For the Inventor, By the Inventor

Sunnyvale, CA, United States of America

Francesco Rossi

USPTO Granted Patents = 17 


Average Co-Inventor Count = 3.7

ph-index = 3

Forward Citations = 34(Granted Patents)


Company Filing History:

goldMedal17 out of 40,816 
 
Apple Inc.
 patents

Years Active: 2020-2025

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17 patents (USPTO):
1. 12189599 - Lookup table activation functions for neural networks (2025-01-07),
2. 12182619 - Annotation override determination for a neural network (2024-12-31),
3. 12175375 - Compiling models for dedicated hardware (2024-12-24),
4. 12020168 - Compiling models for dedicated hardware (2024-06-25),
5. 11907760 - Systems and methods of memory allocation for neural networks (2024-02-20),
6. 11699097 - Machine learning model with conditional execution of multiple processing tasks (2023-07-11),
7. 11520629 - Dynamic task allocation for neural networks (2022-12-06),
8. 11468338 - Compiling models for dedicated hardware (2022-10-11),
9. 11367163 - Enhanced image processing techniques for deep neural networks (2022-06-21),
10. 11289073 - Device text to speech (2022-03-29),
11. 11175898 - Compiling code for a machine learning model for execution on a specialized processor (2021-11-16),
12. 10909657 - Flexible resolution support for image and video style transfer (2021-02-02),
13. 10908962 - System and method to share GPU resources (2021-02-02),
14. 10789694 - Real-time adjustment of temporal consistency constraints for video style (2020-09-29),
15. 10664963 - Real-time selection of DNN style transfer networks from DNN sets (2020-05-26),

Title: Francesco Rossi: Innovator in Neural Network Technologies

Introduction

Francesco Rossi is a prominent inventor based in Sunnyvale, CA, known for his significant contributions to the field of neural networks. With a total of 17 patents to his name, Rossi has been at the forefront of developing innovative technologies that enhance the performance and efficiency of neural network models.

Latest Patents

Among his latest patents, Rossi has developed a framework for evaluating activation functions of neural networks using lookup tables. This technology allows for lookup table-based activation functions to achieve desired precision within hardware constraints. By providing multiple lookup tables for each activation function, each corresponding to a specific subrange of input values, the technology optimizes performance across the full range of input values.

Another notable patent focuses on dynamic task allocation for neural network models. This technology determines the operation performed at a node of a neural network and assigns an annotation to indicate whether the operation is better suited for a CPU or a GPU, based on the hardware capabilities of the target platform. Furthermore, it assesses whether the neural network model includes a second layer and assigns annotations for operations at nodes within that layer, ensuring optimal performance.

Career Highlights

Francesco Rossi is currently employed at Apple Inc., where he continues to push the boundaries of innovation in technology. His work has not only advanced the field of neural networks but has also contributed to the broader landscape of artificial intelligence.

Collaborations

Rossi collaborates with talented individuals such as Xiaojin Shi and Marco Zuliani, who share his passion for advancing technology and innovation. Together, they work on projects that aim to improve the efficiency and effectiveness of neural network applications.

Conclusion

Francesco Rossi's contributions to neural network technologies exemplify the spirit of innovation and creativity in the tech industry. His patents reflect a deep understanding of both theoretical and practical aspects of neural networks, making him a key figure in this evolving field.

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