San Diego, CA, United States of America

Christopher G Lott

This inventor holds 81 USPTO granted patents and 38 published patent applications, plus 5 CIPO patents and 14 EPO patents, primarily in Artificial Intelligence (CPC class H04W). Top assignees: Qualcomm Incorporated, Qualcomm Innovation Center, Inc., Other. Active years: 2005-2026.

USPTO Granted Patents = 81 

% Patents Active = 64.2


 

Average Co-Inventor Count = 4.0

ph-index = 18

Forward Citations = 690(Granted Patents)

Forward Citations (Not Self Cited) = 637(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • San Deigo, CA (US) (2014)
  • San Diego, CA (US) (2005 - 2024)

Company Filing History:


Years Active: 2005-2026

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Areas of Expertise:
Machine Learning
Artificial Intelligence
Wireless Communication
Voice Command Recognition
Neural Networks
Antenna Selection
Power Control
Distributed Systems
Interference Cancellation
Data Processing
Dynamic Load Balancing
Communication Optimization
81 patents (USPTO):Explore Patents

Title: An Insight into the Innovative Contributions of Christopher G. Lott

Introduction: Christopher G. Lott, a prolific inventor based in San Diego, CA, boasts an impressive portfolio of 74 patents to his name. His work predominantly lies at the intersection of artificial intelligence and deep learning, where he has made significant strides in generative models and neural network optimization. His innovative approach continues to shape the future of technology.

Latest Patents: Among his recent patents, two stand out for their advanced methodologies. The first, titled "Speculative Decoding in Autoregressive Generative Artificial Intelligence Models," introduces techniques for generating responses to query inputs in generative AI models. This invention encompasses a novel method that involves receiving multiple sets of tokens generated based on an input prompt and utilizing a second generative model for the selection of a response.

The second notable patent, "Exploiting Activation Sparsity in Deep Neural Networks," presents a method to leverage activation sparsity. This includes retrieving a sparse activation tensor and generating a compressed version with fewer columns, thereby optimizing the neural network's performance. Through these advancements, Lott is contributing to the enhancement of AI capabilities.

Career Highlights: Christopher G. Lott's career has been significantly influenced by his tenure at Qualcomm Incorporated, where he applied his expertise in AI and machine learning. His contributions to the field have earned him recognition as a leading innovator in technological advancements. Lott's relentless pursuit of knowledge and innovation has driven him to explore various methodologies that push the boundaries of what is possible in artificial intelligence.

Collaborations: Throughout his career, Lott has had the opportunity to collaborate with esteemed professionals in the field, including Rashid Ahmed Akbar Attar and Donna Ghosh. These partnerships have facilitated the exchange of ideas and fostered a collaborative environment that has been beneficial for developing innovative solutions.

Conclusion: Christopher G. Lott exemplifies the spirit of innovation in technology through his substantial patent portfolio and collaborative efforts. His work in generative AI and deep learning demonstrates his commitment to advancing the field, and as technology continues to evolve, Lott's contributions will undoubtedly play a crucial role in shaping its future.

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