1. Computation in Design and Architecture:

• Inquiry into Computational Design: Exploration of computational methods in design processes.
• Architecture Robotics: Application of robotics in architectural design and construction.
• Design for Internet of Things: Design principles and technologies for IoT devices and systems.
• Generative System Design: Systems that autonomously generate design outputs using computational techniques.

2. Core Computational Technologies:

• Machine Learning: Fundamental techniques and algorithms in machine learning.
• Computer Vision: Techniques for enabling computers to interpret and understand the visual world.
• Generative AI: Focuses on models that generate new data instances.
• Multimodal Foundation Model: Deals with models that can process and integrate multiple types of data (e.g., text, image, sound).

3. Physical and Interactive Computing:

• Physical Computing: Involves building interactive physical systems using software and hardware that can sense and respond to the analog world.
• Soft Robotics: Design and create robots from highly flexible materials.
• Multimodal Foundation Model: Although primarily a computational model, it can be integrated here for its application potential in interactive environments, combining data from various sensors and inputs.