Matthias Frank

Title: Matthias Frank: Innovator in Machine Learning and Entity Linking

Introduction

Matthias Frank is a prominent inventor based in Heidelberg, Germany. He has made significant contributions to the field of machine learning and entity linking, holding a total of 8 patents. His work focuses on developing efficient methods and systems that enhance the capabilities of machine learning applications.

Latest Patents

Matthias Frank's latest patents include innovative technologies that utilize machine learning representations. One of his notable patents is titled "Entity linking and filtering using efficient search tree and machine learning representations." This patent describes methods, systems, and computer-readable storage media for a machine learning system that reduces the number of target items considered as potential matches to a query item using token embeddings and a search tree. Another significant patent is "Efficient search for combinations of matching entities given constraints." This invention outlines methods, systems, and computer-readable storage media for processing inference results generated by a machine learning model, enabling efficient searches over target entities based on specific constraints.

Career Highlights

Matthias Frank is currently employed at SAP SE, where he continues to push the boundaries of innovation in machine learning. His work at SAP SE has allowed him to collaborate with other talented professionals in the field, contributing to the advancement of technology.

Collaborations

Some of Matthias Frank's notable coworkers include Hoang-Vu Nguyen and Rajesh Vellore Arumugam. Their collaborative efforts have further enriched the research and development environment at SAP SE.

Conclusion

Matthias Frank is a distinguished inventor whose work in machine learning and entity linking has led to several impactful patents. His contributions continue to shape the future of technology in meaningful ways.