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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 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

clock-icon-black  5 min read
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

clock-icon-black  6 min read
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