Markham, Canada

Jason Edward Podaima


Average Co-Inventor Count = 6.7

ph-index = 3

Forward Citations = 23(Granted Patents)


Location History:

  • Toronto, CA (2017 - 2018)
  • Markham, CA (2017 - 2019)
  • Richmond Hill, CA (2018 - 2022)

Company Filing History:


Years Active: 2017-2022

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12 patents (USPTO):Explore Patents

Title: Jason Edward Podaima: A Pioneer in Machine Learning Innovations

Introduction

Jason Edward Podaima is a remarkable inventor hailing from Markham, Canada. With an impressive portfolio comprising 12 patents, Podaima is making significant contributions to the field of machine learning and parallel computing. His inventive work is not only innovative but also vital for the advancement of technology in today's digital age.

Latest Patents

Among Podaima's latest patents is "Compression of High Dynamic Ratio Fields for Machine Learning." This innovative patent presents various methods and devices for implementing the decompression of compressed high dynamic ratio fields. The invention encompasses receiving two compressed data field sets, decompressing them, and utilizing a mapping process to aggregate the decompressed sets, thus generating a comprehensive compression block.

Another notable patent is centered around "Systems and Methods for Controlling Instantaneous Current Changes in Parallel Processors." This invention aims to control rapid current changes in parallel processors featuring arrays of computing elements, such as neural processors. The method intelligently monitors transitions between different activity levels in the array, facilitating selective control to minimize instantaneous current changes, which is crucial for efficient performance.

Career Highlights

Jason Edward Podaima currently is employed at Qualcomm Incorporated, where he continues to innovate and develop cutting-edge technologies. His extensive knowledge and pioneering spirit have significantly impacted the field of machine learning.

Collaborations

Throughout his career, Podaima has collaborated with several talented individuals, including coworkers Paul Christopher John Wiercienski and Meghal Varia. These collaborations have propelled various projects forward, fostering an environment of shared knowledge and innovation.

Conclusion

With a keen expertise and a notable catalog of inventions, Jason Edward Podaima stands out as an influential figure in the realm of machine learning and parallel processing technology. His work continues to pave the way for future advancements, enhancing the efficiency and capability of computational systems.

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