By: Holger prang ( HCU – CityScience lab )
The workshop was an introduction to AI and machine learning. AI is not a solution but a mean of understanding which can be applied in different processes where Artificial intelligence depends on Input output function.
Phase 1
– Pix2Pix (demo) : How to treat the model then the algorithm can generate similar outputs, such as converting satellite maps to 2d maps also identifying façade components and coloring images , etc.
– Generative adversarial network: Increasingly realistic synthetic faces generated by variations on Generative Adversarial Networks (GANs). In order, the images are from papers by Goodfellow et al. (2014), Radford et al. (2015),Liu and Tuzel (2016), and Karras et al. (2017).
– Real-time Face Capture and Reenactment (2016) Imaginary celebrities that were dreamed up by a random number generator.
Phase 2 “ kunst”: Learning about Nips creative which is a collection of art ,music and design using machine learning , Also the chat box which a kind of apps which is a computer we can speak to it and interact with it as we speak to it and it reply to our conversations. For example replika which is an app of this kind and it help many people who feel lonely or lost someone ..etc
phase 3 “ stadt “ : Using computer science in turning sketches or a mass model into generated map or rendered model which is detailed and acceptable ,also according to computer science many jobs will be replaced by robots and it also considered very important in Psychology , research ,humanity and cultures
Phase 4 After that an opening discussion about how can computer science help to apply the needs of architects?
Phase 5 How the future of jobs would be like in the age of machine power ?
The workshop was an introduction to AI and machine learning. AI is not a solution but a mean of understanding which can be applied in different processes where Artificial intelligence depends on Input output function.
Phase 1
– Pix2Pix (demo) : How to treat the model then the algorithm can generate similar outputs, such as converting satellite maps to 2d maps also identifying façade components and coloring images , etc.
– Generative adversarial network: Increasingly realistic synthetic faces generated by variations on Generative Adversarial Networks (GANs). In order, the images are from papers by Goodfellow et al. (2014), Radford et al. (2015),Liu and Tuzel (2016), and Karras et al. (2017).
– Real-time Face Capture and Reenactment (2016) Imaginary celebrities that were dreamed up by a random number generator.
Phase 2 “ kunst”: Learning about Nips creative which is a collection of art ,music and design using machine learning , Also the chat box which a kind of apps which is a computer we can speak to it and interact with it as we speak to it and it reply to our conversations. For example replika which is an app of this kind and it help many people who feel lonely or lost someone ..etc
phase 3 “ stadt “ : Using computer science in turning sketches or a mass model into generated map or rendered model which is detailed and acceptable ,also according to computer science many jobs will be replaced by robots and it also considered very important in Psychology , research ,humanity and cultures
Phase 4 After that an opening discussion about how can computer science help to apply the needs of architects?
Phase 5 How the future of jobs would be like in the age of machine power ?
