The First Gui? Volscan Controls The Air

In the 1950s,  computers were, for the most part, ponderous machines. But one machine offered a glimpse of the future. The Volscan was probably the first real air traffic computer designed to handle high volumes of military aircraft operations. It used a light gun that looked more like a soldering gun than a computer input device. There isn’t much data about Volscan, but it appears to have been before its time, and had arguably the first GUI on a computer system ever.

The Air Force had a problem. The new — in the 1950s — jets needed long landing approaches and timely landings since they burned more fuel at lower altitudes. According to the Air Force, they could land 40 planes in an hour, but they needed to be able to do 120 planes an hour. The Whirlwind computer had proven that computers could process radar data — although Whirlwind was getting the data over phone lines from a distance. So the Air Force’s Cambridge Research Center started working on a computerized system to land planes called Volscan, later known as AN/GSN-3.

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Will A.I. Steal All The Code And Take All The Jobs?

New technology often brings with it a bit of controversy. When considering stem cell therapies, self-driving cars, genetically modified organisms, or nuclear power plants, fears and concerns come to mind as much as, if not more than, excitement and hope for a brighter tomorrow. New technologies force us to evolve perspectives and establish new policies in hopes that we can maximize the benefits and minimize the risks. Artificial Intelligence (AI) is certainly no exception. The stakes, including our very position as Earth’s apex intellect, seem exceedingly weighty. Mathematician Irving Good’s oft-quoted wisdom that the “first ultraintelligent machine is the last invention that man need make” describes a sword that cuts both ways. It is not entirely unreasonable to fear that the last invention we need to make might just be the last invention that we get to make.

Artificial Intelligence and Learning

Artificial intelligence is currently the hottest topic in technology. AI systems are being tasked to write prose, make art, chat, and generate code. Setting aside the horrifying notion of an AI programming or reprogramming itself, what does it mean for an AI to generate code? It should be obvious that an AI is not just a normal program whose code was written to spit out any and all other programs. Such a program would need to have all programs inside itself. Instead, an AI learns from being trained. How it is trained is raising some interesting questions.

Humans learn by reading, studying, and practicing. We learn by training our minds with collected input from the world around us. Similarly, AI and machine learning (ML) models learn through training. They must be provided with examples from which to learn. The examples that we provide to an AI are referred to as the data corpus of the training process. The robot Johnny 5 from “Short Circuit”, like any curious-minded student, needs input, more input, and more input.

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Laptop Motherboard? Let’s Boot And Tinker

Last time, I’ve shared my experience on why you might want to consider a laptop motherboard for a project of yours, and noted some things you might want to keep in mind if buying one for a project. Now, let’s go through the practical considerations!

Making It Boot

Usually, when you plug some RAM and a charger into a board, then press the power button, your board should boot up and eventually show the BIOS on the screen. However, there will be some caveats – it’s very firmware-dependent. Let me walk you through some confusing situations you might encounter.

If the board was unpowered for a while, first boot might take longer – or it might power on immediately after a charger has been plugged in, and then, possibly, power off. A bit of erratic behaviour is okay, since boards might need to do memory training, or recover after having lost some CMOS settings. Speaking of those, some boards will not boot without a CMOS battery attached, and some will go through the usual ‘settings lost’ sequence. Sometimes, the battery will be on a daughterboard, other times, especially with new boards, there will be no CR2032 in sight and the board will rely on the main battery to provide CMOS settings saving functions – in such case, if you don’t use the battery, expect the first boot to take longer, at least. Overall, however, pressing the power switch will cause the board to boot. Continue reading “Laptop Motherboard? Let’s Boot And Tinker”

The Future Of RISC-V And The VisionFive 2 Single Board Computer

We’ve been following the open, royalty-free RISC-V ISA for a while. At first we read the specs, and then we saw RISC-V cores in microcontrollers, but now there’s a new board that offers enough processing power at a low enough price point to really be interesting in a single board computer. The VisionFive 2 ran a successful Kickstarter back in September 2022, and I’ve finally received a unit with 8 GB of ram. And it works! The JH7110 won’t outperform a modern desktop, or even a Raspberry Pi 4, but it’s good enough to run a desktop environment, browse the web, and test software.

And that’s sort of a big deal, because the RISC-V architecture is starting to show up in lots of places. The challenge has been getting real hardware that’s powerful enough to run Linux and compile software on, that doesn’t cost an arm and a leg. If ARM is an alternative architecture, then RISC-V is still an experimental one, and that is an issue when trying to use the VF2. That’s a theme we’ll repeat a few times, but the thing to remember here is that getting more devices in the wild is the first step to fixing things. Continue reading “The Future Of RISC-V And The VisionFive 2 Single Board Computer”

Daniel Valuch Chats About CERN’s High Caliber Hacking

For those of us who like to crawl over complex systems, spending hours or even days getting hardware and software to work in concert, working at places like NASA or CERN seems like a dream job. Imagine having the opportunity to turn a wrench on the Space Shuttle or the Large Hadron Collider (LHC) — not only do you get to spend some quality time with some of the most advanced machines ever produced, you can be secure in the knowledge that your work will further humanity’s scientific understanding of the universe around us.

Or at least, that’s what we assume it must feel like as outsiders. But what about somebody who’s actually lived it? What does an actual employee, somebody who’s had to wake up in the middle of the night because some obscure system has gone haywire and stalled a machine that cost taxpayers $4.75 billion to build, think about working at the European Organization for Nuclear Research? Continue reading “Daniel Valuch Chats About CERN’s High Caliber Hacking”

How Hard Could It Be To Get Millions Of Phone Bills Right?

It may be a foreign concept to anyone who has never paid a dime for a phone call over and above the monthly service charge, but phone calls were once very, VERY expensive — especially long-distance calls, which the phone company ungenerously defined as anything more than a few towns away. Woe betide the 70s teen trying to talk to out-of-town friends or carry on a romance with anyone but the guy or girl next door when that monthly phone bill came around; did anyone else try to intercept it from the mailbox before the parents could see it?

While it seems somewhat quaint now, being charged for phone calls was not only a big deal to the customers, but to the phone company itself. The Bell System, which would quickly become a multi-billion dollar enterprise, was built on the ability to accurately meter the use of their service and charge customers accordingly. Like any engineered system, it grew and changed over time, and it had to adapt to the technologies and economic forces at the time.

One of the most interesting phases of its development was the development of Automatic Message Accounting (AMA), which in a very real way paved the way for the wide-open, worldwide, too-cheap-to-meter phone service we enjoy today.

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FOSDEM 2023: An Open-Source Conference, Literally

Every year, on the first weekend of February, a certain Brussels university campus livens up. There, you will find enthusiasts of open-source software and hardware alike, arriving from different corners of the world to meet up, talk, and listen. The reason they all meet there is the conference called FOSDEM, a long-standing open-source software conference which has been happening in Belgium since 2000. I’d like to tell you about FOSDEM because, when it comes to conferences, FOSDEM is one of a kind.

FOSDEM is organized in alignment with open-source principles, which is to say, it reminds me of an open-source project itself. The conference is volunteer-driven, with a core of staff responsible for crucial tasks – yet, everyone can and is encouraged to contribute. Just like a large open-source effort, it’s supported by university and company contributions, but there’s no admission fees for participants – for a conference, this means you don’t have to buy a ticket to attend. Last but definitely not least, what makes FOSDEM shine is the community that it creates.

FOSDEM’s focus is open software – yet, for hackers of the hardware world, you will find a strong hardware component to participate in, since a great number of FOSDEM visitors are either interested in hardware, or even develop hardware-related things day-to-day. It’s not just that our hardware can’t live without software, and vice-versa – here, you will meet plenty of pure software, a decent amount of pure hardware, and a lot of places where the two worlds are hard to distinguish. All in all, FOSDEM is no doubt part of hacker culture in Europe, and today, I will tell you about my experience of FOSDEM 2023. Continue reading “FOSDEM 2023: An Open-Source Conference, Literally”