Lukáš Hudec and Maroš Kollár
Cognexa
SAT afternoon
It is everywhere, everyone wants and can use it. But how can we implement and train it for our purposes? Embark on a journey into the world of Image Generative AI! Delve into the principles behind this groundbreaking technology, learn how thousands of neurons can create (hopefully) astonishingly realistic images from noise. Through interactive sessions, participants will gain hands-on experience with code examples, and understanding the underlying mechanisms of image generation. This workshop will equip attendees with the foundational knowledge needed to dive deeper into the realm of Image Generative AI. Moreover, participants will discover where to find ready-to-use solutions and tools, streamlining the process of implementing Image Generative AI into their projects and for their use-cases.
Join us for an engaging and enlightening (and horrifying) experience, where technology meets creativity.
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Lukáš Hudec is a lead researcher and AI architect in Cognexa and researcher at FIIT STU. Computational imaging has always been his passion. After he realized that game design is not for him, he focused his research on computer vision instead. He has specialized in generative AI models and medical imaging, especially analysis of Pathology images.
Maroš Kollár is a PhD. student at FIIT STU and an AI engineer specializing in the development of computer vision and deep learning solutions for various domains. In his research, he focuses on the usage of generative models for histology data synthesis. In his free time, he likes to connect hardware components for simple Arduino projects.