Andras Horvath

Title: Andras Horvath: Innovator in AI and Machine Learning

Introduction

Andras Horvath is a prominent inventor based in Budapest, Hungary. He has made significant contributions to the fields of artificial intelligence and machine learning, holding a total of 5 patents. His work focuses on enhancing real-time models through innovative techniques that leverage both complex and lightweight AI/ML methods.

Latest Patents

Horvath's latest patents include groundbreaking systems and methods for domain-specific enhancement of real-time models through edge-based learning. These techniques utilize a heterogeneous AI/ML architecture, allowing for the combination of complex AI/ML techniques with more lightweight approaches. This integration aims to improve the accuracy of complex models while reducing processing power and time requirements. Another notable patent is for efficient egomotion estimation using patch-based projected correlation. This method enhances computational efficiency by detecting consecutive images and estimating motion through overlapping image patches, resulting in a robust estimation of rotation angles and translation vectors.

Career Highlights

Throughout his career, Horvath has worked with various organizations, including Energiagazdalkodási Intézet and HRL Laboratories, LLC. His experience in these companies has allowed him to develop and refine his innovative approaches to AI and machine learning.

Collaborations

Horvath has collaborated with notable professionals in his field, including Laszlo Szucs and Emod Sigmond. These partnerships have contributed to the advancement of his research and the successful implementation of his patented technologies.

Conclusion

Andras Horvath is a distinguished inventor whose work in AI and machine learning continues to push the boundaries of technology. His innovative patents and collaborations reflect his commitment to enhancing real-time models and improving computational efficiency.