Weston, MA, United States of America

Lev Lipkin


 

Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 21(Granted Patents)


Company Filing History:


Years Active: 2010-2020

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3 patents (USPTO):Explore Patents

Title: Lev Lipkin: Innovator in Machine Learning and Computational Design

Introduction

Lev Lipkin is a notable inventor based in Weston, MA (US), recognized for his contributions to machine learning and computational design. He holds a total of 3 patents, showcasing his innovative approach to technology and problem-solving.

Latest Patents

One of Lev Lipkin's latest patents is titled "Variations in experiment graphs for machine learning - Executing a graph." This method involves identifying a graph with nodes that have input ports connected to alternative inputs. It further includes identifying permutations of inputs and executing the graph for each permutation, ultimately providing users with metrics for each execution. Another significant patent is "Computational design method and interface," which offers a method, system, and user interface for defining objects in parametric modeling applications. This patent allows for the organization of geometric parametric objects into a family definition, enhancing computational logic that is automatically executed during regeneration operations.

Career Highlights

Lev Lipkin has worked with prominent companies such as Autodesk, Inc. and Microsoft Technology Licensing, LLC. His experience in these organizations has contributed to his expertise in developing innovative solutions in technology.

Collaborations

Throughout his career, Lev has collaborated with talented individuals, including Nicolas Mangon and Matthew David Jezyk. These partnerships have likely enriched his work and led to further advancements in his projects.

Conclusion

Lev Lipkin's contributions to machine learning and computational design through his patents and collaborations highlight his role as an influential inventor in the technology sector. His innovative methods continue to shape the future of these fields.

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