Final Outputs / Fall 2024

 

Adapta Tower

Suriana Rosas-Mozo

By designing sliding modules that can be occupant-controlled or automated based on personal preferences and activity, the facade becomes more than a static structure. AI algorithms collectively allow the kinetic facade system to process high-dimensional data efficiently, learn from environmental feedback, and make data-driven decisions in real time. AI-driven modules respond in real time to activities like working, relaxing, or sleeping, while optimizing comfort through adjustments to sunlight. There two potential facade options: Option 1 - Environmentally Driven and Option 2 - Modular / Occupant Driven

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AgriTech Tower

Fatemeh Khajeh

Project envisions a multi-functional skyscraper dedicated to vertical farming, aiming to address urban food security, reduce environmental impact, and promote sustainable urban agriculture. Situated in a dense metropolitan area, the tower will provide fresh products year-round for local communities, integrating agricultural, residential, and Office spaces in a cohesive, eco-friendly structure. High-rise construction, intersecting it with soilless agriculture to uncover new typologies and critically assess the emerging relationship between architecture, urban environments, and agriculture.

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AI Integrated Vernacular

Jack Archer

Through a series of AI tools, traditional building typologies are analyzed and reimagined for vertical construction. Generative AI algorithms propose various design iterations, allowing the user to explore multiple
configurations while providing ample checkpoints for the user to insert themselves into the design process. Two final outputs include a Fujian-inspired tower in Shenzhen, China referencing a traditional Tulou (multifamily dwelling around a central courtyard) and a Maori-inspired tower in Auckland, New Zealand referencing a traditional Pa (village), Wharenui (large house), and Wharepuni (sleeping house).

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ElevateX

Aida Alvarado

Elevators with horizontal movement unlock new design limitations of conventional environments. These AI-driven algorithms are designed to assess and evaluate 3D space, identifying buildable areas by processing complex spatial data and considering factors such as distance from existing structures, and required separations. By mapping these areas within a 3D grid, the algorithm highlights optimal connections and pathways within and between structures. The shape generated by the algorithm defines the path the elevator will follow, adapting seamlessly to the site.

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GenTower

Jumana Abuelreish

The GenTower is designed to redefine urban living by challenging the notion of who highrise buildings are intended for. Artificial Intelligence (AI) is used through this project to identify the space needs of each user, how units can be configured throughout time, and visualizing the results. AI generates spacial data that ignores all architectural standards and precedents; unbiased data on how each type of user utilizes spaces differently; and Configers spaces that imagine how the changing units evolve over time.

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Guardians of the Coast

Jayraj Mistry

Miami waterfront developments are at high risk of survival due to increasing sea levels and intensifying hurricanes. Maximizing the usage of limited land availability, reimagining the dead parking podiums of
coastal high rises as wave mitigator, provides safe elevated grounds for future developments as well safeguards the low rise Miami. Thus, sustainable infrastructure multiplies the real estate value at prime locations. The chaotic seas creates multi-directional wave motions simultaneously, thus precise counter-wave generation and wave alignment can be achieved through AI.

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HydroTech Tower

Kristin LaSorsa

MidJourney and LookX.AI were used to generate building inspiration renders based on prompts aligned with building concept. LookX.AI was also used to render Rhino model, creating visuals that effectively communicate the Hydrotech Tower’s sustainable design. The building features include the rain canopy, stack effec zone, and cooling rooms. Heat directed from data centers is used for thermal desalination. Addtionally, chilled water circulates through core for cooling systems.

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Meta-Vegas

Jyot Mankad

Las Vegas has been a hub for entertainment since the 20th century but suffers from urban design issues with increasing population and increasing in-flow of tourists. A city scale building designed using discrete aggregation for rule based populated blocks and optimized for maximum shading using genetic algorithm. The first iteration is of 2 towers with differentiating densities of cluster. The first scheme has all function of residential, commercial, recreational in one tower and the second tower has a central core with the functions around it.

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Nexus Performance Hub

Akkil Ibrahim

This concept emphasizes the track transitioning between the exterior and interior, creating dynamic void spaces that serve as zones for performance, recovery, and interaction, blending movement with architectural form. The track harnesses traction from movement to generate energy and defines the form, splitting the structure and shaping the building’s identity. Secondary ribbon facade wraps
the track ensuring privacy. The indoor track transitions from central voids, creating zones.

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Quantum Tower

Mariana Penaloza

This tower incorporates the quantum computer featuring the microwave signal lines that control and read qubits by delivering precise signals for manipulation and measurement. The electromagnetic isolation responds to magnetic fluctuations that interfere with the qubits, so shielding is necessary to maintain the quality of the quantum processor. Another key feature, the quantum processing unit (QPU) contains interconnected quantum bits that perform calculations based on the laws of quantum mechanics.

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ReBio Tower

Anastasiya Kovylina

To address the issue of current biophilic design, regarding its viable application only in warm climates, the framework of communication with AI includes three levels: Level A - Design Autonomy where fixed parameters of the massing are provided; Level B - Exploratory Dialogue where the designer and AI engage in a dialogue to explore and refine concepts; and Level C - User-Led Design with Specified Inspiration where the designer provides AI precise influences, such as mathematical formulas or natural patterns, as the foundation for the design.

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Visions of the Future

Jillian Oligschlaeger

By leveraging Artificial Inteligence, common themes from the future visions of skyscrapers are extracted. The themes include a network of skybridges and flying technology, solid exterior walls and digital screens as "windows" inside, digital screens personalized to the individual, controlled ecosystems instead of exterior vegetation, the building as a system for hydropower, living in the sky and work on the surface. AI visualizes these specific themes discovered in the vision board, creating an array of the concepts.

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Zoned Intelligence

Kamila Igambergenova

This project incorporates an AI-driven architectural optimization process that includes the initial form generation, the optimization of sun analysis, wind analysis, and floor plates, and the new generated form. A python script was created for the zoning-based form generation and ladybug analysis. Based on the AI-driven analysis, three design schemes are proposed for New York City, Chicago, and Austin while the proposals meet the zoning requirements and optimize the overall building performance simultaneously.

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