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Marian Petruk

R&D Lead

Marian Petruk is an R&D lead with deep expertise in Generative AI, advanced deep learning, and computer vision. His recent work explores cutting-edge topics such as diffusion models, Gaussian splatting, and neural architecture search (NAS) for low-latency vision models. He also focuses on panoptic segmentation of agricultural land using multi-temporal satellite imagery for remote sensing. Marian has worked with generative adversarial networks (GANs) to synthesize high-resolution images and contributed to human-computer interaction research, applying machine learning to digital signal processing and biosignal analysis.

Marian’s recent stories

By Dmytro Dudchenko, Marian Petruk, Taras Rumezhak, Patryk Bałazy, Anna-Alina BondaretsMay 06, 2026
Generative AI•
NVIDIA•
R&D

What Is NVIDIA NemoClaw and What Role Does It Play In Agentic AI Systems?

How NemoClaw coordinates agent execution across edge devices and cloud systems in enterprise workflows.

By Marian Petruk, Volodymyr KarpivOct 15, 2021
IoT, XR, Robotics, AI & ML•
R&D

Porting Neural Network Models onto Mobile Devices

Learn how AI technologies transform your customer’s mobile experience

By Volodymyr Karpiv, Marian PetrukOct 14, 2021
IoT, XR, Robotics, AI & ML•
R&D

Deep Learning Model Compression and Optimization

Discover the importance of optimizing and compressing deep learning models for enhanced efficiency and performance

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