Midjourney Built What?!?

· Source: Matt Wolfe · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation, Internet of Things (IoT) & Connected Devices · Depth: Fundamental Awareness, quick

Summary

Midjourney, a company recognized for AI image generation, has developed the "Midjourney scanner," a novel device capable of scanning an entire human body in 60 seconds. This system utilizes nearly 9,000 transducers, each acting as a speaker and microphone, to emit ultrasonic waves and detect echoes with precision finer than a single atom. The collected data is processed by 21 servers, providing two petaflops of compute, to reconstruct a full 3D map of internal organs accurate to half a millimeter. Compared to an MRI, which can take up to two hours and cost thousands, the Midjourney scanner is 60 times faster, 10 times cheaper, and operates without radiation, making its running cost effectively zero. Midjourney plans to deploy these scanners in "Midjourney spas," with the first opening in San Francisco, aiming for 50,000 units globally to perform a billion scans monthly.

Key takeaway

For entrepreneurs or investors evaluating health tech opportunities, Midjourney's scanner demonstrates a disruptive model for personal diagnostics. You should consider how high-speed, non-invasive imaging, coupled with a consumer-spa deployment strategy, could redefine access to detailed health insights. This approach bypasses traditional healthcare infrastructure, potentially creating a new market for preventative and wellness-focused body scanning services.

Key insights

Midjourney's new ultrasonic body scanner offers rapid, affordable, and radiation-free internal imaging.

Principles

Method

The system employs 9,000 transducers to emit and receive ultrasonic waves, processing echoes with two petaflops of compute to reconstruct a half-millimeter accurate 3D organ map.

In practice

Topics

Best for: Investor, Product Manager, AI Product Manager, Entrepreneur, General Interest

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Editorial summary, takeaway, and curation by AIssential. Original article published by Matt Wolfe.