AI: A DEEPER DIVE What’s the Brains Behind the Operation of AI? Machine Learning (ML) is a component of artificial TE CH NO LO GY
intelligence and focuses on developing algorithms capable of learning from and making decisions based on data. Due to the most recent emergences
Infusing Technology to Facilitate Design: AI + Automation
of AI, we tend to associate it as a “new practice.” However, John McCarthy, credited as the father of AI, in the 1950’s, defined artificial intelligence as “the science and engineering of making intelligent machines, especially intelligent computer programs.” In 1959, a pioneer in the ML field, Arthur Samuel, defined it as “the field of study that gives computers the ability to learn without being explicitly
Accessing Transformative Capabilities An immense buzz is circulating as the latest technological tools are being introduced to the architectural industry. Computational, analytical, data-driven design or automation; stable diffusion and generative AI these technologies are no longer distant possibilities. They are at our doorstep. Emerging tools can offer new opportunities to advance the design process, influencing how architects conceptualize, plan, and execute their designs. Across the industry, we are still exploring the latest technological breakthroughs. Many architects and
programmed.” A core component of ML technology is known as the artificial neural networks (ANNs). These are computational models that mimic the human brain’s structure by forming layers of interconnected nodes, or “neurons.” From their ability to learn complex patterns from data, tools such as predictive analytics, language processing and image recognition take form. The key to unlocking the potential of machine
firms are rooted in established working systems; however, within those successes lie lessons learned,
learning in architecture is understanding ANNs.
room for improvement, and the potential for further growth. We continuously search for improved design
In the same way that these networks can analyze
quality and production efficiency. Are we entrenched in our workflows out of familiarity, or will new tools
data to recognize patterns in images, they can be
lead us to further design excellence?
trained to identify specific design elements, optimize spatial layouts, and predict a building’s
With advancements in technology, we have access to transformative capabilities. With tools for AI and automation, architects can use technology to facilitate design - improving workflows, increasing efficiency, promoting sustainability, and authoring new innovations.
structural performance.