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The Asimov Institute is a non-profit AI research organization dedicated to exploring the intersection of deep learning and creativity. Our mission is to advance artificial creativity while ensuring responsible development of autonomous systems. We publish fundamental breakthroughs in neural network research, advise on societal and business impacts of AI, and develop practical tools for creative industries including architecture, graphic design, fashion, marketing, and music production.
Our core research area is the Neural Network Zoo, a comprehensive taxonomy of neural network architectures that serves as a reference for researchers and practitioners. We also lead the Inverse Surveillance AI project, which investigates methods to protect privacy and constrain AI systems from harmful surveillance applications. In 2021, we hosted the Inverse Surveillance AI Hackathon to foster innovative solutions in this domain.
Key benefits of engaging with the Asimov Institute include access to cutting-edge research on generative models, expertise in applying AI to creative workflows, and guidance on ethical AI deployment. Our tools enable automated novelty generation, producing new products, content, styles, and ideas that augment human creativity. Use cases range from generating architectural designs and fashion collections to creating music and marketing assets.
Our team comprises interdisciplinary experts including deep learning researchers, architects, designers, musicians, and installation artists. Notable members include Director & Researcher Stefan Leijnen, Deep Learning Researcher Fjodor van Veen, and Virtual Fashion Designer Amber Jae Slooten. We collaborate with industry partners to translate research into practical applications.
Technical details: Our work spans convolutional neural networks for image generation, recurrent networks for sequence creation, and transformer architectures for multimodal creativity. We emphasize reproducibility and open-source contributions. For inquiries, contact info@asimovinstitute.org.
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