Architectural Technology Commons^™

Giving Up Control: Hybrid Ai-Augmented Workflows For Image-Making, Joshua Vermillion

Tradition Innovations in Arts, Design, and Media Higher Education

This paper argues that if we are to come to creative terms with AI image-making then we must critically interrogate these new tools in the production of creative works. In doing so, designers can start to chart new creative workflows that integrate AI for image-making while augmenting and then evolving our current ways of designing. Workflows are shown that relate to how AI models can augment human creativity in hybrid (human and AI) creative endeavors while taking advantage of the affordances of these technologies.

Artificially Alternate Bauhaus: Gremlins Of Function, Body, And Pattern, Madeline Alves, Erin Zearfoss

Architecture Senior Theses

Human and machine intelligence has the potential to re-design objects and spaces of the past and generate an artificially alternate collection of reimagined Bauhaus images. Present A.I. technologies can operate as synthetic imaginations of historic Bauhaus principles and design ambitions to create a possible future. The past becomes altered through our understanding of its contributions to an alternate present.

Immersive Inoculation: Testing If Architecture Can Become A Form Of Emotional Supplementation, Julia Kazubowsi, Chloe De Marco

Architecture Thesis Prep

The environments, objects, and spaces we encounter rub off on us, even if we don't notice. Like a human interaction, every inanimate encounter we have have with surrounding objects and architecture has a positive or negative affect on us.

We recognize that ordinary things have a surprising power to create extraordinary feelings and reactions. This thesis propose a visual medium that bridges the gap between us and the inanimate. Where we meet in the middle is an architectural experience that is emotionally charged, introducing specific emotions to the body. Just as movies, books, and happy pills elicit a response from …

Assistive Intelligence: Replication And Mediation Of Modern, Madeline Alves, Kimberly Esquilin, Pramita Mital, Erin Zearfoss, Julia Kubowoski, Chloe Demarco

Architecture Thesis Prep

This project is an exploration of frames of reference that guide human authorship and how they influence machine output . “Reference frames are [used] to make predictions, create plans, and perform movements.” (Hawkins 131). We guided our exploration under the principle that if we control who authored the frames of reference that the AI receives, then that would influence the output of the machine. However, we began to question to what degree we need to control the machine in order to have a valuable output –is human-intelligent authorship necessary for machine intelligence to function productively, or is machine intelligence enough …

Cognitive Performance Application., Shade El-Hadik

Electronic Theses and Dissertations

This work shows that combining the techniques of neural networking and predictive analytics with the fundamental concepts of computing performance optimization is genuine in many ways. It has the potentials to: (1) reduce infrastructure upgrade costs (2) reduce human interactions, by enabling the system to learn, analyze, and make decisions on its own, and (3) generalize the solutions to other performance problems. This paper attempts to tackle a JVM performance optimization from a different dimension and in a way that can be scaled to other common utilized resources, such as file systems, static contents, search engines, web services...etc. It shows …

Rapidly Deployed And Assembled Tensegrity System: An Augmented Design Approach, Phillip Anzalone, Stephanie Bayard, Ralph S. Steenblik

Publications and Research

The Rapidly Deployable and Assembled Tensegrity (RDAT) project enables the efficient automated design and deployment of differential-geometry tensegrity structures through computation-driven design-to-installation workflow. RDAT employs the integration of parametric and solid-modeling methods with production by streamlining computer numerically controlled manufacturing through novel detailing and production techniques to develop an efficient manufacturing and assembly system. The RDAT project emerges from the Authors' research in academia and professional practice focusing on computationally produced full-scale performative building systems and their innovative uses in the building and construction industry.