Goslar, Germany

Andreas Potschka

This inventor holds 1 USPTO granted patent and 5 published patent applications and 3 EPO patents. Top assignee: Abb Schweiz Ag. Active years: 2026.

USPTO Granted Patents = 1 

% Patents Active = 100.0

 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: The Innovations of Andreas Potschka

Introduction

Andreas Potschka is a notable inventor based in Goslar, Germany. He has made significant contributions to the field of machine learning, particularly in enhancing the reliability of model outputs. His innovative approach addresses the challenges associated with undesirable inferences in machine learning models.

Latest Patents

One of his key patents is titled "Removing undesirable inferences from a machine learning model." This patent outlines a method and system designed to eliminate unwanted inferences from machine learning outputs. The process involves a search component that receives a rejected explanation of model output, identifies data samples to unlearn, and passes these samples to a machine unlearning unit. This innovative method aims to improve the accuracy and trustworthiness of machine learning applications.

Career Highlights

Andreas Potschka is currently associated with Abb Schweiz AG, where he continues to develop and refine his ideas in the realm of artificial intelligence and machine learning. His work is characterized by a commitment to advancing technology and ensuring that machine learning models operate effectively and ethically.

Collaborations

Throughout his career, Andreas has collaborated with talented individuals such as Arzam Muzaffar Kotriwala and Marcel Dix. These partnerships have fostered a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Andreas Potschka's contributions to machine learning through his patent and collaborative efforts highlight his role as a forward-thinking inventor. His work not only addresses current challenges in the field but also paves the way for future advancements in technology.

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