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Related lectures (6)
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Net Art: Recovery, Digital Saturation, and Art Conquest
Delves into the evolution of Net art, exploring recovery, instability, and digital saturation in the art world.
Artificial Intelligence: Foundations and Machine Learning
Covers the foundations of artificial intelligence, machine learning, the data revolution, and research examples in AI and machine learning.
Data Art: Creating Artworks from Scientific Data
Explores creating art from scientific data, showcasing the fusion of creativity and scientific rigor.
Machine Learning for Physicists/Chemists: Image Classification
Covers the fundamentals of machine learning for physicists and chemists, focusing on image classification tasks using artificial intelligence.
Generative Adversarial Networks: Data Synthesis Techniques
Discusses Generative Adversarial Networks and their applications in synthesizing data and generating images.
A data management ecosystem for data driven science
Explores the Blue Brain Nexus ecosystem and data challenges in Neuroscience.
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