As author Joseph Wood Krutch once said, “Technology made large populations possible; large populations now make technology indispensable.”
That’s a point not lost on Redshift readers, who gravitated this past year toward articles that illustrate just how key of a role technology will play in how humans design and make things—a world in which generative design, augmented reality, and BIM work hand-in-hand with technologically adept workers to create green, connected buildings that leave the lightest of footprints and serve the biggest needs. Yet while the future of making things struck a chord with readers, Frank Lloyd Wright’s appearance on this list serves as a reminder that innovative design never goes out of style.
Here are the top 10 most popular articles Redshift published in 2017:
Get the real story on how precision machinist Christian Welch and his company, Swissomation, turn out the tiniest parts for mobile phones and more.
For the second installment of SpaceX’s Hyperloop Pod Competition, student teams designed, built, and raced pods in a battle to deliver on Elon Musk’s need for speed.
Frank Lloyd Wright’s designs are iconic, but his legacy lives on through his radical design ethos: forward-thinking, sustainable, and modern.
BIM is already used in construction worldwide, but what will happen when it teams up with the cloud and IoT? Connected BIM is the next frontier.
The future is (almost) here with augmented reality in construction—helmets that act like X-ray specs and bring BIM models alive on-site.
From radical renovations to conserving rare dolphins, outdated airports are getting major facelifts globally—improving both design and usability.
Virtual reality, machine learning, smarter robots, and generative design: Here are five design and technology predictions that will impact the future.
Machine learning is not a harbinger of robot overlords. It’s a gateway to human-machine symbiosis that could yield unknown creative freedoms.
In celebration of Earth Day 2017, here are seven stories about climate-change solutions—because the people have to do something if governments won’t.
Meet Ken Goldberg, the UC Berkeley engineering professor whose machine-learning research is laying the groundwork for a new era of intelligent robots.