Welcome To SubTropolis: The Limestone Mine Turned Climate-Controlled Business Complex

After extracting all the useful stuff from a mine, you are often left with a lot of empty subterranean space without a clear purpose. This was the case with the Bethany Falls limestone mine, near Kansas City, Missouri, which left a sprawling series of caverns supported by 16′ (4.9 meter) diameter pillars courtesy of the used mining method. As detailed by [Benjamin Hunting] in a recent article on the Hagerty site, this made it a fascinating place for a  business complex development now called SubTropolis that among other things is used for car storage by Ford and long-term stamp storage by the US Post Office. (Check out their cool period photos!)

The reason for this is the extremely stable climate within these man-made caverns, with relative humidity hovering around a comfortable 40% and temperatures stable year-round at about 21 °C (70 °F), making it ideal for storing anything that doesn’t like being placed outdoors, while saving a lot on airconditioning costs. With Ford one of the biggest companies in SubTropolis, this means that many companies providing customization services for vehicles have also moved operations inside the complex.

With the only negative being a lack of daylight, it seems like the perfect place for many businesses and (evil) lairs, assuming electrical power and constant air circulation are provided.

Featured image: “Subtropolis” by [ErgoSum88]

A Telepresence System That’s Starting To Feel Like A Holodeck

[Dr. Roel Vertegaal] has led a team of collaborators from [Queen’s University] to build TeleHuman 2 — a telepresence setup that aims to project your actual-size likeness in 3D.

Developed primarily for business videoconferencing, the setup requires a bit of space on both ends of the call. A ring of stereoscopic z-cameras capture the subject from all angles which the corresponding projector on the other end displays. Those projectors are arranged in similar halo above a human-sized, retro-reflective cylindrical screen which can be walked around — viewing the image from any angle without a VR headset or glasses — in real-time!

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One-Pixel Attack Fools Neural Networks

Deep Neural Networks can be pretty good at identifying images — almost as good as they are at attracting Silicon Valley venture capital. But they can also be fairly brittle, and a slew of research projects over the last few years have been working on making the networks’ image classification less likely to be deliberately fooled.

One particular line of attack involves adding particularly-crafted noise to an image that flips some bits in the deep dark heart of the network, and makes it see something else where no human would notice the difference. We got tipped with a YouTube video of a one-pixel attack, embedded below, where changing a single pixel in the image would fool the network. Take that robot overlords!