Ken Thompson and Dennis Ritchie at a PDP-11. Peter Hamer [CC BY-SA 2.0]Last week the computing world celebrated an important anniversary: the UNIX operating system turned 50 years old. What was originally developed in 1969 as a lighter weight timesharing system for a DEC minicomputer at Bell Labs has exerted a huge influence over every place that we encounter computing, from our personal and embedded devices to the unseen servers in the cloud. But in a story that has seen countless twists and turns over those five decades just what is UNIX these days?
The official answer to that question is simple. UNIX® is any operating system descended from that original Bell Labs software developed by Thompson, Ritchie et al in 1969 and bearing a licence from Bell Labs or its successor organisations in ownership of the UNIX® name. Thus, for example, HP-UX as shipped on Hewlett Packard’s enterprise machinery is one of several commercially available UNIXes, while the Ubuntu Linux distribution on which this is being written is not.
When You Could Write Off In The Mail For UNIX On A Tape
The real answer is considerably less clear, and depends upon how much you view UNIX as an ecosystem and how much instead depends upon heritage or specification compliance, and even the user experience. Names such as GNU, Linux, BSD, and MINIX enter the fray, and you could be forgiven for asking: would the real UNIX please stand up?
The best part about the term “Artificial Intelligence” is that nobody can really tell you what it exactly means. The main reason for this stems from the term “intelligence”, with definitions ranging from the ability to practice logical reasoning to the ability to perform cognitive tasks or dream up symphonies. When it comes to human intelligence, properties such as self-awareness, complex cognitive feats, and the ability to plan and motivate oneself are generally considered to be defining features. But frankly, what is and isn’t “intelligence” is open to debate.
What isn’t open to debate is that AI is a marketing goldmine. The vagueness has allowed for marketing departments around the world to go all AI-happy, declaring that their product is AI-enabled and insisting that their speech assistant responds ‘intelligently’ to one’s queries. One might begin to believe that we’re on the cusp of a fantastic future inhabited by androids and strong AIs attending to our every whim.
In this article we’ll be looking at the reality behind these claims and ponder humanity’s progress towards becoming a Type I civilization. But this is Hackaday, so we’re also going to dig into the guts of some AI chips, including the Kendryte K210 and see how the hardware of today fits into our Glorious Future. Continue reading “How Smart Are AI Chips, Really?”→
Circuit simulation and software workbooks like Matlab and Jupyter are great for being able to build things without a lot of overhead. But these all have some learning curve and often use clever tricks, abstractions, or library calls to obscure what’s really happening. Sometimes it is clearer to build math models in a spreadsheet.
You might think that spreadsheets aren’t built for doing frequency calculation and visualization but you’re wrong. That’s exactly what they’re made for — performing simple but repetative math and helping make sense of the results.
In this installment of the DSP Spreadsheet series, I’m going to talk about two simple yet fundamental things you’ll need to create mathematical models of signals: generating signals and mixing them. Since it is ubiquitous, I’ll use Google Sheets. Most of these examples will work on any spreadsheet, but at least everyone can share a Google Sheets document. Along the way, we’ll see a neat spreadsheet trick I should probably use more often.
The cult classic movie Office Space is a scathing critique of life for software engineers in a cubicle farm, and it did get a lot of things right even if it didn’t always mean to. One of those is the character of Tom Smykowski whose job is to “deal with the customers so the engineers don’t have to”. The movie treats Tom and his job as a punchline in a way, but his role is actually very important for most real businesses that rely on engineers or programmers for their core products.
Engineers can have difficulty relating to customers, and often don’t have the time (or even willingness) to handle the logistics of interacting with them in the first place. Customers may get frustrated understanding engineers or communicating their ideas clearly to them. A person like Tom Smykowski is often necessary to bridge the gap and smooth out the rough edges on both sides, but in the Linux world there are very few Toms to rely on. The customers, or users, have to deal directly with the engineers in many situations, and it’s not working out very well for either group. Linux has a marketing problem, and it needs a marketing solution if it ever wants to increase its market share in the PC realm. Continue reading “Linux’s Marketing Problem”→
Ecclesiastes 1:9 reads “What has been will be again, what has done will be done again; there is nothing new under the sun.” Or in other words, 5G is mostly marketing nonsense; like 4G, 3G, and 2G was before it. Let’s not forget LTE, 4G LTE, Advance 4G, and Edge.
Just a normal everyday antenna array in a Seattle parking garage.
Technically, 5G means that providers could, if they wanted to, install some EHF antennas; the same kind we’ve been using forever to do point to point microwave internet in cities. These frequencies are too lazy to pass through a wall, so we’d have to install these antennas in a grid at ground level. The promised result is that we’ll all get slightly lower latency tiered internet connections that won’t live up to the hype at all. From a customer perspective, about the only thing it will do is let us hit the 8Gb ceiling twice as faster on our “unlimited” plans before they throttle us. It might be nice on a laptop, but it would be a historically ridiculous assumption that Verizon is going to let us tether devices to their shiny new network without charging us a million Yen for the privilege.
So, what’s the deal? From a practical standpoint we’ve already maxed out what a phone needs. For example, here’s a dirty secret of the phone world: you can’t tell the difference between 1080p and 720p video on a tiny screen. I know of more than one company where the 1080p on their app really means 640 or 720 displayed on the device and 1080p is recorded on the cloud somewhere for download. Not a single user has noticed or complained. Oh, maybe if you’re looking hard you can feel that one picture is sharper than the other, but past that what are you doing? Likewise, what’s the point of 60fps 8k video on a phone? Or even a laptop for that matter?
Are we really going to max out a mobile webpage? Since our device’s ability to present information exceeds our ability to process it, is there a theoretical maximum to the size of an app? Even if we had Gbit internet to every phone in the world, from a user standpoint it would be a marginal improvement at best. Unless you’re a professional mobile game player (is that a thing yet?) latency is meaningless to you. The buffer buffs the experience until it shines.
So why should we care about billion dollar corporations racing to have the best network for sending low resolution advertising gifs to our disctracto cubes? Because 5G is for robots.
In the late nineteenth century, there was only one Earthly frontier left to discover: the North Pole. Many men had died or gone insane trying to reach 90°N, which, unlike the solidly continental South Pole, hides within a shifting polar sea.
One of history’s most driven Pole-seekers, Robert Peary, shocked the world when he announced that his wife Josephine would accompany him on his expedition to Greenland. The world responded, saying that she, a Washington socialite with no specialized training, had absolutely no business going there. But if it weren’t for Jo’s contributions, Robert would probably have never made it to the Pole, or even out of Greenland. Sewing and cooking skills may not seem like much, but they are vital for surviving in the Arctic climate. She also hunted, and managed the group’s Inuit employees.
Josephine Peary was more than just the woman behind the man. An Arctic explorer in her own right, she spent three winters and eight summers on the harsh and unforgiving frontier. Back at home, her Arctic accounts painted a picture of a frozen and far-off world that most could only wonder about. Jo’s writing career brought in expedition money for her husband, which sometimes turned into bailout money.
Josephine Cecilia Diebitsch was born May 22nd, 1863 to German immigrant parents who encouraged her to explore the world. Her father, Hermann, was a linguist at the Smithsonian Institute. Because of his position, the Diebitsch family rubbed elbows with much of high society. Though Jo was raised to be a Victorian lady and upheld those values, she had progressive ideas about what women could do with themselves in addition to being wives and mothers. Continue reading “Josephine Peary, First Lady Of The Arctic”→
Persistence of Vision (POV) is a curious part of the human visual system. It’s the effect by which the perception of an image lingers after light has stopped entering the eye. It’s why a spinning propeller appears as a disc, and why a burning sparkler appears to leave a trail in the air. It’s also commonly used as a display technology, where a series of flashing LEDs can be used to create messages that appear to float in the air. POV displays are a popular microcontroller project, and today, we’ll explore the basic techniques and skills required in such builds.
![Ken Thompson and Dennis Ritchie at a PDP-11. Peter Hamer [CC BY-SA 2.0]](https://hackaday.com/wp-content/uploads/2019/10/1279px-Ken_Thompson_sitting_and_Dennis_Ritchie_at_PDP-11_2876612463.jpg)
