Smart Speakers “Accidentally” Listen Up To 19 Times A Day

In the spring of 2018, a couple in Portland, OR reported to a local news station that their Amazon Echo had recorded a conversation without their knowledge, and then sent that recording to someone in their contacts list. As it turned out, the commands Alexa followed came were issued by television dialogue. The whole thing took a sitcom-sized string of coincidences to happen, but it happened. Good thing the conversation was only about hardwood floors.

But of course these smart speakers are listening all the time, at least locally. How else are they going to know that someone uttered one of their wake words, or something close enough? It would sure help a lot if we could change the wake word to something like ‘rutabaga’ or ‘supercalifragilistic’, but they probably have ASICs that are made to listen for a few specific words. On the Echo for example, your only choices are “Alexa”, “Amazon”, “Echo”, or “Computer”.

So how often are smart speakers listening when they shouldn’t? A team of researchers at Boston’s Northeastern University are conducting an ongoing study to determine just how bad the problem really is. They’ve set up an experiment to generate unexpected activation triggers and study them inside and out.

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The Legacy Of One Of Science’s Brightest Stars: Freeman Dyson

Of the many well-known names in science, few have been as reluctant to stick to one particular field as Freeman John Dyson. Born in the UK in 1923, he showed a great interest in mathematics and related fields even as a child. By the time he was 15 he had won a scholarship at Trinity College, in Cambridge, where he studied mathematics. Though the war forced him to work at the Air Force’s Operational Research Section (ORS), afterwards he would return to Trinity to get his BA in mathematics.

His subsequent career saw him teaching at universities in the UK and US, before eventually ending up at Cornell University, where he joined the Institute for Advanced Study at the invitation of its head, J. Robert Oppenheimer. Here he would meet up with such people as Richard Feynman with whom he would work on quantum electrodynamics.

Beyond mathematics and physics, Dyson would also express great interest in space exploration — with Dyson spheres being well-known — and genetics, both in the context of the first formation of life and in genetic manipulation to improve plants to deal with issues today. He also worked on the famous Project Orion, which used nuclear bombs for propulsion.

In this article we’ll take a look at these and other parts of Mr. Dyson’s legacy, as well as the influence of his works today.

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Raising The Titanic’s Radio Room

For some reason, of all the ships that have sailed the oceans, it’s the unlucky ones that capture our imagination. Few ships have been as unlucky as the RMS Titanic, sinking as she did on the night of April 15, 1912 after raking across an iceberg on her maiden voyage, and no ship has grabbed as much popular attention as she has.

During her brief life, Titanic was not only the most elegant ship afloat but also the most technologically advanced. She boasted the latest in propulsion and navigation technology and an innovation that had only recently available: a Marconi wireless room, used both for ship-to-shore and ship-to-ship communications.

The radio room of the Titanic landed on the ocean floor with the bow section of the great vessel. The 2.5-mile slow-motion free fall destroyed the structure of the room, but the gear survived relatively intact. And now, more than a century later, there’s an effort afoot to salvage that gear, with an eye toward perhaps restoring it to working condition. It’s a controversial plan, of course, but it is technologically intriguing, and it’s worth taking a look at what’s down there and why we should even bother after all these years.

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Write Once, Run Everywhere: Cross-Platform Programming Done Right

One of the goals of programming languages back in the 1950s was to create a way to write assembly language concepts in an abstract, high-level manner. This would allow the same code to be used across the wildly different system architectures of that era and subsequent decades, requiring only a translator unit (compiler) that would transform the source code into the machine instructions for the target architecture.

Other languages, like BASIC, would use a runtime that provided an even more abstract view of the underlying hardware, yet at the cost of a lot of performance. Although the era of 8-bit home computers is long behind us, the topic of cross-platform development is still highly relevant today, whether one talks about desktop, embedded or server development. Or all of them at the same time.

Let’s take a look at the cross-platform landscape today, shall we?

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Project Rubicon: The NSA Secretly Sold Flawed Encryption For Decades

There have been a few moments in the past few years, when a conspiracy theory is suddenly demonstrated to be based in fact. Once upon a time, it was an absurd suggestion that the NSA had data taps in AT&T buildings across the country. Just like Snowden’s revelations confirmed those conspiracy theories, a news in February confirmed some theories about Crypto AG, a Swiss cryptography vendor.

The whole story reads like a cold-war era spy thriller, and like many of those novels, it all starts with World War II. As a result of a family investment, Boris Hagelin found himself at the helm of Aktiebolaget Cryptograph, later renamed to Crypto AG (1952), a Swedish company that built and sold cipher machines that competed with the famous Enigma machine. At the start of the war, Hagelin decided that Sweden was not the place to be, and moved to the United States. This was a fortuitous move, as it allowed Hagelin to market his company’s C-38 cipher machine to the US military. That device was designated the M-209 by the army, and became the standard in-the-field encryption machine.

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Parking Meters That Were A Bit Too Smart For Their Own Good

A common sight in automobile-congested cities such as New York are parking meters lining the curbs next to parking spots. They’re an autonomous way for the city to charge for the space taken by cars parked along the sidewalk near high-traffic commercial areas, incentivizing people to wrap up their business and move their vehicle out of a costly or time-limited parking space.

The parking meter is such a mundane device most people wouldn’t look at them twice, but on the inside it’s fascinating to see how they’re engineered, how that’s changed through the years, and how a software bug handicapped thousands of digital meters at the start of 2020.

The Origin Of The Parking Meter

One of Carl C. Magee’s earliest parking meter designs, filed for patent in 1932.

Parking meters were originally commissioned in the 1930s by the government of Oklahoma City, due to the rapidly increasing number of automobiles, and therefore demand for parking space. Up until then, the city used patrolling policemen to regulate parking space, but they couldn’t keep up with the pace of the increased traffic and the lack of available parking space made business drop around downtown shops.

The first widely-adopted parking meter was dubbed “Black Maria”, a machine patented in 1935 by Carl C. Magee and Gerald Hale and first installed in the city in July of that year. This was a completely automated mechanical device made to solve the problem of regulating the time a driver can park their car in a given spot. It would take a nickel as payment, inserted into the mechanism by rotating a handle which also served to wind a clock spring. This clock would then tick down the remaining time the user could remain parked there, which could range from 15 minutes to an hour depending on the location.

An early Black Maria design, circa 1933.

Within days store owners noticed a positive effect in their profits thanks to the increase in customers with the regulated parking. What’s more, the coins collected from the meters also generated revenue for the city, and so, parking meters started spreading throughout the city. And as decades went, the mechanics were improved upon. A window was added into which a patrolling officer could easily look to check if the right amount of money (or money at all) was inserted. Separate panels for the coins to be easily collected without risking damage to the rest of the internal clockwork were also added.

The evolution of parking meters eventually passed through meters that could take care of parking spaces on either side of it, halving the amount of necessary poles per sidewalk. Electronic models starting appearing in the 1990s and eventually connectivity added. With meters all hooked up to the same network, the symbiotic connection between the parking meter and your spot was severed. It didn’t matter where your car was parked anymore; you could simply take your printed ticket and put it on your dashboard to be legally parked. Further advancements led to numbers spots that can be paid from any kiosk in the city, or though a smartphone app. But those digital advancements don’t always translate into reliability…

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Learning Morse Code The Ludwig Koch Way

Most countries have dropped the requirement for learning Morse code to become a ham radio operator. Because of that, you might think Morse code is dead. But it isn’t. Some people like the nostalgia. Some like that you can build simple equipment to send and receive Morse code. Others like that Morse code is much more reliable than voice and some older digital modes. Regardless of the reason, many people want to learn Morse code and it is still a part of the ham radio scene. The code has a reputation of being hard to learn, but it turns out that is mostly because people haven’t been taught code in smart ways.

I don’t know if they still do, but some youth organizations used to promote some particularly bad ways to learn the code. The second worse way is to learn “dots and dashes” and many people did learn that way. The very worst way was using an image like the adjacent one to try to map the dots and dashes into letter shapes. This chart dates back to at least 1918 when a Girl Guides handbook printed it.

Even if you are a visual learner, this is a bad idea. The problem is, it is nearly impossible to hear sounds at 20 or 30 words per minute and map them to this visual representation. Another visual method is to use a binary tree where left branches are dots and right branches are dashes.

If you only need to master 5 words per minute to get a merit badge, you might get away with this. But for real use, 5 words a minute is very slow. For example, this sentence would take about 3 minutes to send at that speed. Just that one sentence.

So what are the better ways? Let’s take a look.

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