Monday, June 8, 2020

Machine Streams V1.0 Webinars by DesignMorphine - July 18, 19, 25, 26



This 4-part, approximately 16 hours, Rhino + Grasshopper webinar series will be taught by DesignMorphine’s Zvonko Vugreshek. 

Having the machine take on more decisions than the user has been popular. It’s implemented through almost all segments of life nowadays. Whether you are designing for an art show or producing shop drawings for your local workshop, you are dealing with some form of optimization of choice along a couple of parameters. The optimal choice is often difficult because we must make complex decisions in a short amount of time. That is the key point in introducing machine learning to help people make better decisions and to reduce their potential errors. 

Examples from facade structuring and urban design will be shown and answered using various methods and models ranging from single objective optimization to neural network classifiers.

The webinar series will take place across four days on two weekends in July 2020. Each webinar will be approximately four hours long with a live Q&A. Webinars will take place in a Private Facebook group via Facebook Live and video uploads. Participants will be able to ask questions by commenting on the videos. Each webinar will be pre-recorded and uploaded at the time of the webinar to ensure optimal quality and to avoid issues of connectivity that can occur with live streaming. At the live stream times, Zvonko will be live streaming to summarize the videos and answer questions. All videos will remain available, including the live streams, for your viewing as much as you like, even after the live stream. This means you can also enjoy the videos if you are not available at the live stream time. Instead, you may view them at your convenience and availability. 

All webinars will be conducted in English and there is no previous experience with the topics required. You must have a valid non-business Facebook account to attend and watch the videos.


No comments:

Post a Comment