Decades of research in environmental psychology and building science reveal that indoor conditions can profoundly affect human health and behavior. Lighting influences circadian rhythms and sleep patterns. Air quality impacts cognitive performance and respiratory health. Temperature and acoustics shape comfort and concentration.
According to the outlet SlashGear, the neighborhood encompasses five 1,000-square-foot houses just north of Sacramento. Each domicile is produced by a hulking concrete printer worth about $1.5 million, which took about 24 days to spit out the first house. In the future, 4Dify expects the whole process to take about 10 days, but that isn't what's astonishing about the Yuba County neighborhood - it's the price tag.
Earlier we did episode one of this with Grady Booch where we discussed the principled view of that what's changing and what remains unchanged, what is hyped and what is actually naturally coming with the AI changes. We also spoke about that what is the difference between the design and the architecture and what teams are focusing and what they might be missing.
Every architectural epoch has been defined by its instruments. The compass, the drawing board, the camera, and the computer have each altered how architects think and produce. Yet the current moment feels qualitatively different.
Which Algorithm Is This? If you step back, this maps almost perfectly to the Top K Frequent Elements problem.We usually solve it for integers in a list. Here, the "elements" are audience profiles age and body-type combinations. First, define what an audience profile looks like: case class Profile(age: Int, height: Int, weight: Int) What we want is a function like this:
The vascular system and the brain are examples of physical networks that differ from the networks typically studied in network science owing to the tangible nature of their nodes and links, which are made of material resources and constrain their layout. The importance of these material factors has been noted in many disciplines: as early as 1899, Ramón y Cajal suggested that we must consider the laws conserving the 'wire' volume to explain neuronal design8
For many architects, schematic design is defined by a familiar tension. It is the phase of open-ended exploration-where multiple ideas are tested, challenged, and refined for clients to define a project's direction. In essence, it's where the design magic happens. The challenge is rarely a lack of ideas, but the effort required to test and evaluate those ideas properly under time-, resource-, and budget constraints.
When I work on something, whether it's at Interfere or my personal projects, I like to experiment a lot. Design engineering is a lot about trial and error, and I often spend hours trying to find the "this feels right" moment. This is where AI helps. Instead of spending hours on a concept that I'm unsure of, I try that concept out in a matter of minutes, and throw it away if it doesn't feel right.
In the translation of three-dimensional reality onto a two-dimensional plane, axonometry stands as one of the graphic systems of representation that form the foundation of the language used by architecture and design professionals. Alongside plans, sections, and elevations, its exploded views often stand out for their ability to study the multiple layers that compose a project. Although axonometry is also employed in other disciplines such as
Minimal doesn't always mean usable. This comparison shows how Linear-style UI keeps contrast, affordances, and structure intact, unlike brutalism's extremes or neumorphism's low-clarity depth effects. Daniel Schwarz Feb 5, 2026 2 min read Linear-style UIs look simple, but the theming system has to do real work. Here's how to meet WCAG 2.2 contrast requirements across light, dark, and high-contrast modes whether you're using a UI library
I'll be talking about holistic engineering or the practice of factoring in your technical decisions, designs, strategies, all the non-technical factors that are actually forces that influence your organic socio-technical problem space. As much as you can see in this canyon how natural forces have influenced the shape of the earth, so you can see the color. You can see all the different layers.
The normative form for interacting with what we think of as "AI" is something like this: there's a chat you type a question you wait for a few seconds you start seeing an answer. you start reading it you read or scan some more tens of seconds longer, while the rest of the response appears you maybe study the response in more detail you respond the loop continues
What happens under the hood? How is the search engine able to take that simple query, look for images in the billions, trillions of images that are available online? How is it able to find this one or similar photos from all that? Usually, there is an embedding model that is doing this work behind the hood.