Trieste, Italy

Marko Vitez

This inventor holds 6 USPTO granted patents and 4 published patent applications. Top assignee: Micron Technology Incorporated. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Marko Vitez. Retrieved from https://idiyas.com/inventor/marko-vitez

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 6 

% Patents Active = 66.7

Average Co-Inventor Count = 4.7

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2024-2026

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6 patents (USPTO):Explore Patents

Title: The Innovations of Marko Vitez: Advancements in Deep Learning Accelerators

Introduction: Marko Vitez is an accomplished inventor based in Trieste, Italy, known for his significant contributions to the field of deep learning technology. With two patents to his name, he has focused on optimizing hardware characteristics and enhancing the performance of artificial neural networks.

Latest Patents: Marko's latest patents reveal his innovative approaches to deep learning. One patent covers the "Discovery of hardware characteristics of deep learning accelerators for optimization via compiler". This invention describes systems, devices, and methods related to a Deep Learning Accelerator, capable of executing instructions with matrix operands and employing random access memory. It details how a computing device, through a compiler, can interact with an integrated circuit device to probe its hardware characteristics, particularly in performing complex matrix computations. The compiler optimizes the compilation result based on these characteristics, enabling efficient execution of artificial neural networks.

His second patent, "Deep neural networks compiler for a trace-based accelerator", represents a method for compiling neural network code into executable instructions aimed at a computational acceleration system. This system incorporates memory and acceleration circuits to boost processing capabilities. The method focuses on generating a list of neural network layer model objects, fusing functions and layers, and selecting various operational modes to minimize memory usage and enhance computational efficiency.

Career Highlights: Marko Vitez is currently associated with Micron Technology Incorporated, a leading firm in memory and storage solutions. His work reflects a commitment to pushing the boundaries of deep learning technologies and enhancing computational performance.

Collaborations: Throughout his career, Marko has worked alongside industry professionals like Andre Xian Ming Chang and Aliasger Tayeb Zaidy. This collaborative effort demonstrates the collective drive towards advancing technology in the rapidly evolving field of artificial intelligence.

Conclusion: Marko Vitez is a prominent figure in the realm of deep learning innovation. His expertise and inventions position him as a valuable asset to Micron Technology Incorporated and the broader scientific community. Through his patents, he continues to shape the future of computing and artificial intelligence, paving the way for new possibilities in the technology landscape.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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