Field Guide To Shipping Containers

In the 1950s, trucking magnate Malcom McLean changed the world when he got frustrated enough with the speed of trucking and traffic to start a commercial shipping company in order to move goods up and down the eastern seaboard a little faster. Within ten years, containers were standardized, and the first international container ship set sail in 1966. The cargo? Whisky for the U.S. and guns for Europe. What was once a slow and unreliable method of moving all kinds of whatever in barrels, bags, and boxes became a streamlined operation — one that now moves millions of identical containers full of unfathomable miscellany each year.

When I started writing this, there was a container ship stuck in the Suez canal that had been blocking it for days. Just like that, a vital passage became completely clogged, halting the shipping schedule of everything from oil and weapons to ESP8266 boards and high-waist jeans. The incident really highlights the fragility of the whole intermodal system and makes us wonder if anything will change.

A rainbow of dry storage containers. Image via xChange

Setting the Standard

We are all used to seeing the standard shipping container that’s either a 10′, 20′, or 40′ long box made of steel or aluminum with doors on one end. These are by far the most common type, and are probably what come to mind whenever shipping containers are mentioned.

These are called dry storage containers, and per ISO container standards, they are all 8′ wide and 8′ 6″ tall. There are also ‘high cube’ containers that are a foot taller, but otherwise share the same dimensions. Many of these containers end up as some type of housing, either as stylish studios, post-disaster survivalist shelters, or construction site offices. As the pandemic wears on, they have become so much in demand that prices have surged in the last few months.

Although Malcom McLean did not invent container shipping, the strict containerization standards that followed in his wake prevent issues during stacking, shipping, and storing, and allow any container to be handled safely at any port in the world, or load onto any rail car with ease. Every bit of the container is standardized, from the dimensions to the way the container’s information is displayed on the end. At most, the difference between any two otherwise identical containers is the number, the paint job, and maybe a few millimeters in one dimension.

Standard as they may be, these containers don’t work for every type of cargo. There are quite a few more types of shipping containers out there that serve different needs. Let’s take a look at some of them, shall we?

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Death Of The Turing Test In An Age Of Successful AIs

IBM has come up with an automatic debating system called Project Debater that researches a topic, presents an argument, listens to a human rebuttal and formulates its own rebuttal. But does it pass the Turing test? Or does the Turing test matter anymore?

The Turing test was first introduced in 1950, often cited as year-one for AI research. It asks, “Can machines think?”. Today we’re more interested in machines that can intelligently make restaurant recommendations, drive our car along the tedious highway to and from work, or identify the surprising looking flower we just stumbled upon. These all fit the definition of AI as a machine that can perform a task normally requiring the intelligence of a human. Though as you’ll see below, Turing’s test wasn’t even for intelligence or even for thinking, but rather to determine a test subject’s sex.

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AI Upscaling And The Future Of Content Delivery

The rumor mill has recently been buzzing about Nintendo’s plans to introduce a new version of their extremely popular Switch console in time for the holidays. A faster CPU, more RAM, and an improved OLED display are all pretty much a given, as you’d expect for a mid-generation refresh. Those upgraded specifications will almost certainly come with an inflated price tag as well, but given the incredible demand for the current Switch, a $50 or even $100 bump is unlikely to dissuade many prospective buyers.

But according to a report from Bloomberg, the new Switch might have a bit more going on under the hood than you’d expect from the technologically conservative Nintendo. Their sources claim the new system will utilize an NVIDIA chipset capable of Deep Learning Super Sampling (DLSS), a feature which is currently only available on high-end GeForce RTX 20 and GeForce RTX 30 series GPUs. The technology, which has already been employed by several notable PC games over the last few years, uses machine learning to upscale rendered images in real-time. So rather than tasking the GPU with producing a native 4K image, the engine can render the game at a lower resolution and have DLSS make up the difference.

The current model Nintendo Switch

The implications of this technology, especially on computationally limited devices, is immense. For the Switch, which doubles as a battery powered handheld when removed from its dock, the use of DLSS could allow it to produce visuals similar to the far larger and more expensive Xbox and PlayStation systems it’s in competition with. If Nintendo and NVIDIA can prove DLSS to be viable on something as small as the Switch, we’ll likely see the technology come to future smartphones and tablets to make up for their relatively limited GPUs.

But why stop there? If artificial intelligence systems like DLSS can scale up a video game, it stands to reason the same techniques could be applied to other forms of content. Rather than saturating your Internet connection with a 16K video stream, will TVs of the future simply make the best of what they have using a machine learning algorithm trained on popular shows and movies?

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A Few Of My Favorite Things: Pens

Pens! They just might be the cheapest, most important piece of technology ever overlooked by a large group of people on a daily basis. Pens are everywhere from your desk to your car to your junk drawer, though they tend to blink out of existence when you need one. Where would we be without them? Probably still drawing on cave walls with dandelions and beets.

Photo of a Pilot Metropolitan by Aaron Burden on Unsplash

Why do I think pens are so great? Well, they’re a relatively cheap tool depending on the pen you get, but whatever you spend, you’re getting a lot for your money. Pens are possibility, pure and simple, and they’re even conveniently packaged in a portable device.

Aesthetically speaking, I like pens because of how different they can be both inside and out. Some of them make thick lines, some make thin lines, and in the case of flexible nibs, some alternate between thick and thin lines depending on pressure. I use pens for a number of reasons, most notably for writing. Everything you read here that bears my name began life as pen marks on paper.

Pens are revolutionary because they can be used to make ideas permanent and/or illustrate any concept. It’s up to you to use the pen wisely. You can use other, better tools later, but pens are always a great first tool. If you’re not encumbered by an uncomfortable grip, ink that skips, or a scratchy, draggy contact point, your ideas will flow more freely. When you find the right pen for you, you aren’t hindered by your tool — you’re elevated by it. Continue reading “A Few Of My Favorite Things: Pens”

How The LIGO Observatory Detects Gravitational Waves

Gravity is one of the more obvious forces in the universe, generally regarded as easily noticeable by the way apples fall from trees. However, the underlying mechanisms behind gravity are inordinately complex, and the subject of much study to this day.

A major component of this study is around the concept of gravitational waves. First posited by Henri Poincaré in 1905, and later a major component of Einstein’s general theory of relativity, they’re a phenomena hunted for by generations of physicists ever since. For the team at the Laser Interferometer Gravitational-wave Observatory, or LIGO, finding direct evidence of gravitational waves is all in a day’s work.

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Hey Google, Is My Heart Still Beating?

University of Washington researchers studying the potential medical use of smart speakers such as Amazon’s Echo and Google’s Nest have recently released a paper detailing their experiments with non-contact acoustic heartbeat detection. Thanks to their sensitive microphone arrays, normally used to help localize voice commands from the user, the team proposes these affordable and increasingly popular smart home gadgets could lead a double life as unobtrusive life sign monitors. The paper goes so far as to say that even with multiple people in the room, their technique can be used to monitor the heart and respiratory rate of a specific target individual.

Those are some bold claims, but they aren’t without precedent. Previous studies performed at UW in 2019 demonstrated how smart speaker technology could be used to detect cardiac arrest and monitor infant breathing. This latest paper could be seen as the culmination of those earlier experiments: a single piece of software that could not just monitor the vitals of nearby patients, but actually detect a medical emergency. The lifesaving potential of such a program, especially for the very young and elderly, would be incredible.

So when will you be able to install a heart monitor skill on the cheap Echo Dot you picked up on Prime Day? Well, as is often the case with this kind of research, putting the technique to work in the real-world isn’t nearly as easy as in the laboratory. While the concept is promising and is more than worthy of further research, it may be some time before our lowly smart speakers are capable of Star Trek style life-sign detection.

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Science Officer…Scan For Elephants!

If you watch many espionage or terrorism movies set in the present day, there’s usually a scene where some government employee enhances a satellite image to show a clear picture of the main villain’s face. Do modern spy satellites have that kind of resolution? We don’t know, and if we did we couldn’t tell you anyway. But we do know that even with unclassified resolution, scientists are using satellite imagery and machine learning to count things like elephant populations.

When you think about it, it is a hard problem to count wildlife populations in their habitat. First, if you go in person you disturb the target animals. Even a drone is probably going to upset timid wildlife. Then there is the problem with trying to cover a large area and figuring out if the elephant you see today is the same one as one you saw yesterday. If you guess wrong you will either undercount or overcount.

The Oxford scientists counting elephants used the Worldview-3 satellite. It collects up to 680,000 square kilometers every day. You aren’t disturbing any of the observed creatures, and since each shot covers a huge swath of territory, your problem of double counting all but vanishes.

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