Online workshop: Machine Learning for Adaptive Temporary Architecture

DRIVEN is an incubation program aiming to embed Advanced Computational Design Strategies in Early Stage Entrepreneurship for Circular Economy.The program is developed within the EU H2020 funded project Reflow.

Driven by Volumes

Machine learning can be a powerful tool  for creation of adaptive architecture models and developing interesting possibilities in design.

<h3>Online workshop</h3><h1>Machine Learning for Adaptive Temporary Architecture</h1><h3>Tutored by Mateusz Zwierzycki</h3><a href="http://drivenbyvolumes.io/machinelearning/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">drivenbyvolumes.io/machinelearning</a>CONTEXTThis workshop is part of the workshop series that Volumes is organizing within the framework of the Driven initiative.<a href="http://drivenbyvolumes.io/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Driven by Volumes</a> is an incubation program aiming to embed Advanced Computational Design Strategies in Early Stage Entrepreneurship for Circular Economy.The program is developed within the EU H2020 funded project <a href="https://reflowproject.eu/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Reflow</a>.WORKSHOP BRIEFDuring this workshop the participants will get a chance to learn about machine learning in the design context, with the applications ranging from clustering of elements to space planning applications for generating interior architecture responsive to user needs. For that purpose a parametric model will be developed, which will serve as a data source. Using unsupervised and supervised learning techniques, the participants will then perform a range of tasks addressing the model solution space.TOPICS AND CONTENTS<ul><li>Supervised learning with neural networks</li><li>Unsupervised learning with k-means clustering</li><li>Data pre- and post-processing</li><li>Data collection</li></ul>DETAILS AND REGISTRATIONPlease carefully check <a href="http://drivenbyvolumes.io/machinelearning/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">drivenbyvolumes.io/machinelearning</a> <a href="http://drivenbyvolumes.io/intro-computationaldesign/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer"></a>before buying your ticket.Basic understanding of Grasshopper is recommended (you can register to our <a href="http://drivenbyvolumes.io/intro-computationaldesign/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Computational Design for Beginners workshop</a>).OTHER PRACTICAL INFORMATION<ul><li>Main Language: English</li><li>Hosted on Zoom</li><li>Chat support provided on Slack</li><li>The workshop will be activated with a minimum of 10 participants. Otherwise organizers can make the decision to cancel the event; in this case the tickets will be fully refunded.</li></ul>JOIN OUR LEARNING COMMUNITYRegistration fees includes :<ul><li> Special access to the Driven team to discuss about your idea to incubate</li><li> One year access to the digital platform of Driven, to stay connected with the community</li><li> 30% discount of your incubation membership (valid until end of 2020, contact us for more details)</li></ul>MORE INFO ABOUT DRIVEN<ul><li>About the workshop &gt; <a href="http://drivenbyvolumes.io/machinelearning/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">drivenbyvolumes.io/machinelearning</a></li><li>About the workshop series and other upcoming workshops &gt; <a href="http://drivenbyvolumes.io/workshops" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">drivenbyvolumes.io/workshops</a></li><li>About the Incubation program &gt; <a href="http://drivenbyvolumes.io/incubation" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">drivenbyvolumes.io/incubation</a></li></ul>IMAGES CREDIT :<ul><li>Banner (above) : Mateusz Zwierzycki</li></ul>

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Online workshop: Machine Learning for Adaptive Temporary Architecture

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