Gdansk, Poland

Michal Eugeniusz Gallus

This inventor holds 1 USPTO granted patent. Top assignees: Advanced Micro Devices Corporation, Ati Technologies Ulc. Active years: 2025.


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Michal Eugeniusz Gallus: Innovator in Machine Learning and Collision Detection

Introduction

Michal Eugeniusz Gallus is a notable inventor based in Gdansk, Poland. He has made significant contributions to the field of machine learning, particularly in the area of collision detection for virtual environments. His innovative approach combines advanced technology with practical applications, showcasing his expertise and creativity.

Latest Patents

Gallus holds a patent for a groundbreaking invention titled "Machine-learning based collision detection for objects in virtual environments." This apparatus includes a processor and a collision detection unit that is operatively coupled to the processor. The collision detection unit is designed to process parameters associated with a ray cast in a virtual environment containing an object. The machine learning model utilized in this invention approximates a mesh representing the object. Furthermore, the collision detection unit determines if the ray collides with the object based on the processed parameters. In response to this determination, the unit generates collision data associated with the ray and the object. This patent exemplifies Gallus's innovative thinking and technical prowess.

Career Highlights

Throughout his career, Michal Eugeniusz Gallus has worked with prominent companies in the technology sector. He has been associated with Advanced Micro Devices Corporation and ATI Technologies ULC, where he contributed to various projects that advanced the field of computing and graphics technology. His experience in these organizations has enriched his knowledge and skills, allowing him to develop cutting-edge inventions.

Collaborations

Gallus has collaborated with several talented individuals in his field. Notable coworkers include Allen H. Rush and Gabor Sines, who have also made significant contributions to technology and innovation. These collaborations have fostered an environment of creativity and shared knowledge, further enhancing the impact of their work.

Conclusion

In summary, Michal Eugeniusz Gallus is a distinguished inventor whose work in machine learning and collision detection has made a lasting impact on technology. His patent and career achievements reflect his dedication to innovation and excellence in his field.

Profile summary based on public USPTO records.
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