Toronto, Canada

Daniel S Tarlow


 

Average Co-Inventor Count = 6.1

ph-index = 2

Forward Citations = 12(Granted Patents)


Location History:

  • Toronto, CA (US) (2012)
  • Toronto, CA (2011 - 2013)
  • Montreal, CA (2023)
  • Montréal, CA (2024)

Company Filing History:


Years Active: 2011-2025

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9 patents (USPTO):Explore Patents

Title: The Innovative Mind of Daniel S. Tarlow

Introduction

Daniel S. Tarlow is a prominent inventor based in Toronto, Canada. He has made significant contributions to the field of software development through his innovative patents. With a total of 9 patents to his name, Tarlow is recognized for his expertise in machine learning and code optimization.

Latest Patents

One of Tarlow's latest patents focuses on machine-learned models for generating code snippets with predicted placeholders. This invention aims to optimize software development by utilizing a method for machine-learned code segment prediction. The process begins with obtaining an incomplete segment of code, which is then processed using a machine-learned code prediction model. This model generates a sampled set of segment completion predictions that include code to complete the incomplete segment. Tarlow's method also involves determining an aggregated segment completion prediction and replacing a portion of it with an input field, particularly when the certainty of that portion is below a certain threshold.

Career Highlights

Tarlow's career is marked by his work at Google Inc., where he has been able to apply his innovative ideas in a collaborative environment. His contributions have significantly impacted the way software development is approached, particularly in the realm of machine learning.

Collaborations

Throughout his career, Tarlow has worked alongside notable colleagues such as Lawrence Wen-Kai Shih and Adam Sah. These collaborations have further enriched his work and have led to advancements in the technologies he has developed.

Conclusion

Daniel S. Tarlow is a visionary inventor whose work in machine learning and software development continues to influence the industry. His innovative patents and collaborative efforts highlight his commitment to advancing technology.

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