Limiting Factor Submersible Is In A League Of Its Own

Space may be the final frontier, but there are still Earthly frontiers that a select few have visited — the deepest depths of the high seas. Victor Vescovo, a Texas businessman and former Naval officer, is one of those few. Last spring, Vescovo realized his dream of becoming the first person to scrape the bottoms of all five oceans.

Vescovo descended alone in Limiting Factor, a $37 million two-seater submersible he commissioned from Triton, a private manufacturer who made this feat of engineering come to life. Vescovo and the crew discovered over 40 new species of aquatic lifeforms throughout the course of their Five Deeps expedition. But the attention-getting takeaway came when Vescovo visited the absolute lowest point on Earth. In the Challenger Deep portion of the Marianas Trench, seven miles below sea level, he saw a plastic bag drift by in the abyss.

One normal-sounding quirk sets this sub apart from others: it’s made to be reusable. You read that right, most super-deep divers never manage to dive over and over again.

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Searching For Alien Life With The Sun As Gravitational Telescope

Astronomy is undoubtedly one of the most exciting subjects in physics. Especially the search for exoplanets has been a thriving field in the last decades. While the first exoplanet was only discovered in 1992, there are now 4,144 confirmed exoplanets (as of 2nd April 2020). Naturally, we Sci-Fi lovers are most interested in the 55 potentially habitable exoplanets. Unfortunately, taking an image of an Earth 2.0 with enough detail to identify potential features of life is impossible with conventional telescopes.

The solar gravitational lens mission, which has recently been selected for phase III funding by the NASA Innovative Advanced Concepts (NIAC) program, is aiming to change that by taking advantage of the Sun’s gravitational lensing effect. Continue reading “Searching For Alien Life With The Sun As Gravitational Telescope”

COBOL Isn’t The Issue: A Misinterpreted Crisis

Is history doomed to repeat itself? Or rather, is there really any doubt that it isn’t, considering recent events that made the news? I am of course talking about New Jersey’s call for COBOL programmers to fix their ancient unemployment system, collapsing under the application spikes caused by the COVID-19 lockdown. Soon after, other states joined in, and it becomes painfully apparent that we have learned absolutely nothing from Y2K: we still rely on the same old antiques running our infrastructure, and we still think people want to voluntarily write COBOL.

Or maybe they do? Following the calls for aid, things went strangely intense. IBM announced to offer free COBOL trainings and launched a forum where programmers can plug their skills and availability. The Open Mainframe Project’s COBOL programming course suddenly tops the list of trending GitHub projects, and Google Trends shows a massive peak for COBOL as well. COBOL is seemingly on its way to be one of the hottest languages of 2020, and it feels like it’s only a matter of time until we see some MicroCOBOL running on a Teensy.

However, the unemployment systems in question are unfortunately only a tiny selection of systems relying on decades old software, written in a language that went out of fashion a long time ago, which makes it difficult to find programmers in today’s times. Why is that?

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How Can Heavy Metal Fly?

Scientists found a surprising amount of lead in a glacier. They were studying atmospheric pollution by sampling ice cores taken from Alpine glaciers. The surprising part is that they found more lead in strata from the late 13th century than they had in those deposited at the height of the Industrial Revolution. Surely mediaeval times were supposed to be more about knights in shining armour than dark satanic mills, what on earth was going on? Why was the lead industry in overdrive in an age when a wooden water wheel represented high technology?

The answer lies in the lead smelting methods used a thousand miles away from that glacier, and in the martyrdom of a mediaeval saint.

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Google And Apple Reveal Their Coronavirus Contact Tracing Plans: We Kick The Tires

Google and Apple have joined forces to issue a common API that will run on their mobile phone operating systems, enabling applications to track people who you come “into contact” with in order to slow the spread of the COVID-19 pandemic. It’s an extremely tall order to do so in a way that is voluntary, respects personal privacy as much as possible, doesn’t rely on potentially vulnerable centralized services, and doesn’t produce so many false positives that the results are either ignored or create a mass panic. And perhaps much more importantly, it’s got to work.

Slowing the Spread

As I write this, the COVID-19 pandemic seems to be just turning the corner from uncontrolled exponential growth to something that’s potentially more manageable, but it’s not clear that we yet see an end in sight. So far, this has required hundreds of millions of people to go into essentially voluntary quarantine. But that’s a blunt tool. In an ideal world, you could stop the disease globally in a couple weeks if you could somehow test everyone and isolate those who have been exposed to the virus. In the real world, truly comprehensive testing is impossible, and figuring out whom to isolate is extraordinarily difficult due to two factors: COVID-19 has a long incubation period during which it is nonetheless transmissible, and some or even most people don’t know they have it. How can you stop what you can’t see, and even when you can detect it, it’s a week too late?

One promising approach is to isolate those people who’ve been in contact with known cases during the stealth contagion period. To do this is essentially to keep a diary of everyone you’ve been in contact with for the last week or two, and then if you eventually test positive for COVID-19, alert them all so that they can keep from infecting others even before they test positive: track and trace. Doctors can do this by interviewing patients who test positive (this is the “contact tracing” we’ve been hearing so much about), but memory is imperfect. Enter a technological solution. Continue reading “Google And Apple Reveal Their Coronavirus Contact Tracing Plans: We Kick The Tires”

The Smallest Large Display Is Projected Straight Onto Your Retina

For most of human history, the way to get custom shapes and colors onto one’s retinas was to draw it on a cave wall, or a piece of parchment, or on paper. Later on, we invented electronic displays and used them for everything from televisions to computers, even toying with displays that gave the illusion of a 3D shape existing in front of us. Yet what if one could just skip this surface and draw directly onto our retinas?

Admittedly, the thought of aiming lasers directly at the layer of cells at the back of our eyeballs — the delicate organs which allow us to see — likely does not give one the same response as you’d have when thinking of sitting in front of a 4K, 27″ gaming display to look at the same content. Yet effectively we’d have the same photons painting the same image on our retinas. And what if it could be an 8K display, cinema-sized. Or maybe have a HUD overlay instead, like in video games?

In many ways, this concept of virtual retinal displays as they are called is almost too much like science-fiction, and yet it’s been the subject of decades of research, with increasingly more sophisticated technologies making it closer to an every day reality. Will we be ditching our displays and TVs for this technology any time soon?

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So What Is Protein Folding, Anyway?

The current COVID-19 pandemic is rife with problems that hackers have attacked with gusto. From 3D printed face shields and homebrew face masks to replacements for full-fledged mechanical ventilators, the outpouring of ideas has been inspirational and heartwarming. At the same time there have been many efforts in a different area: research aimed at fighting the virus itself.

Getting to the root of the problem seems to have the most potential for ending this pandemic and getting ahead of future ones, and that’s the “know your enemy” problem that the distributed computing effort known as Folding@Home aims to address. Millions of people have signed up to donate cycles from spare PCs and GPUs, and in the process have created the largest supercomputer in history.

But what exactly are all these exaFLOPS being used for? Why is protein folding something to direct so much computational might toward? What’s the biochemistry behind this, and why do proteins need to fold in the first place? Here’s a brief look at protein folding: what it is, how it happens, and why it’s important.

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