Zapopan, Mexico

Julio Cesar Zamora Esquivel

This inventor holds 34 USPTO granted patents and 11 published patent applications, primarily in Generative AI Technologies. Top assignee: Intel Corporation. Active years: 2018-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Julio Cesar Zamora Esquivel. Retrieved from https://idiyas.com/inventor/julio-cesar-zamora-esquivel

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

Calculating rank
USPTO Granted Patents = 34 

% Patents Active = 58.8

Average Co-Inventor Count = 5.8

ph-index = 4

Forward Citations = 45(Granted Patents)


Location History:

  • Guadalajara, MX (2021)
  • Zapopan, MX (2018 - 2024)
  • Zapopan Jal, MX (2024)

Company Filing History:


Years Active: 2018-2025

Loading Chart...
Areas of Expertise:
Generative AI
Neural Networks
Autonomous Vehicles
User Authentication
Gesture Detection
Acoustic Sensing
Surface Detection
Vibration Patterns
Wearable Devices
Multi-modal Sensing
Audio Noise Reduction
Energy Harvesting
34 patents (USPTO):Explore Patents

Title: Julio Cesar Zamora Esquivel: Pioneering Innovations at Intel Corporation

Introduction:

Julio Cesar Zamora Esquivel, an accomplished inventor based in Zapopan, MX, has made significant contributions to the field of technology through his innovative mindset and technical expertise. Working at Intel Corporation, Zamora has leveraged his skills to develop groundbreaking inventions that have the potential to revolutionize various industries. With an impressive track record encompassing 31 patents, Zamora's work has left a lasting impact on the field of technological advancements.

Latest Patents:

Among Zamora's recent patents, two notable inventions stand out:

1. Systems and Methods for Multi-Modal User Device Authentication:

This patent introduces an electronic device equipped with multiple sensors, including a microphone and camera, which work in tandem with a confidence analyzer. By analyzing audio and image data, the device authenticates the authorized user and adjusts power states accordingly. This innovation provides a secure and efficient multi-modal authentication process.

2. Artificial Neural Network with Trainable Activation Functions and Fractional Derivative Values:

This patent focuses on a neural network model that can adjust both activation functions and weights, enabling the network to optimize performance based on specific conditions. The per-neuron basis adjustment of activation functions allows for a flexible and efficient neural network model.

Career Highlights:

While specific details about Julio Cesar Zamora Esquivel's career highlights are not available, it is evident that his contributions at Intel Corporation have been substantial. With 31 patents to his name, Zamora's work showcases his ability to apply innovative thinking and technical expertise to deliver cutting-edge solutions. His inventions demonstrate a comprehensive understanding of user device authentication and neural network optimization.

Collaborations:

Zamora has had the privilege of collaborating with talented individuals during his career. Two notable coworkers mentioned are Paulo Lopez Meyer and Hector A Cordourier Maruri. These collaborations have likely played a crucial role in the development and refinement of his inventions, further enhancing their impact on the industry.

Conclusion:

Julio Cesar Zamora Esquivel's contributions to the world of technological innovation are truly remarkable. Through his work at Intel Corporation, Zamora has achieved notable milestones, with his patents showcasing his expertise in a range of fields. His inventions, such as the multi-modal user device authentication system and the neural network model with adjustable activation functions, have the potential to reshape industries and solve complex problems. Zamora's legacy of groundbreaking inventions reinforces his status as a pioneering force in the world of innovation and patents.

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]
Loading…