Nvidia Acquires ARM For $40 Billion

Nvidia announced on Sunday evening that it has reached an agreement to acquire Arm Limited from SoftBank for a cool $40 billion.

In this age of headlines that use the b-word in place of nine zeros it’s easy to lose track, so you may be wondering, didn’t SoftBank just buy Arm? That was all the way back in July of 2016 to the tune of $32 billion. SoftBank is a holding company, so that deal didn’t ruffle any feathers, but this week’s move by Nvidia might.

Arm Limited is the company behind the ARM architecture, but they don’t actually produce the chips themselves, instead licensing them to other companies who pay a fee to use the core design and build their own chip around it. Nvidia licenses the ARM core for some of their chips, and with this deal they will be in a position to set terms for how their competitors may license the ARM core. The deal still needs regulatory approval so time will tell if this becomes a kink in the acquisition plan.

There’s a good chance that you’re reading this article on a device that contains an ARM processor because of its dominance in the smartphone and tablet market. Although less common in the laptop market, and nearly unheard of in the desktop market, the tide may be changing as Apple announced early in the summer that their Mac line will be moving to ARM.

Chances are you know the Nvidia name for their role as purveyors of fine graphics cards. They got a major boost as the world ramped up Bitcoin and other cryptocurrency mining hardware which early on was mainly based on the heavy lifting of graphics processors. But the company also has their eye on the ongoing wave of hardware targeting AI applications like computer vision. Nvidia’s line of Jetson boards, marketed for “next-generation autonomous machines”, all feature ARM cores.

Assuming the deal goes through without a hitch, what will be the fallout? Your guess is as good ours. There is certainly a conflict of interest in a company who competes in the ARM market owning the Arm. But it’s impossible to say what efforts they will make to firewall those parts of the business. Some might predict a mass exodus from the ARM ecosystem in favor of an open standard like RISC-V, but that is unlikely in the near-term. Momentum is difficult to overcome — look at how long it took ARM to climb that mountain and it was primarily the advent of a new mobile ecosystem lacking an established dominant player that let ARM thrive.

Floating Spaceports For Future Rockets

While early prototypes for SpaceX’s Starship have been exploding fairly regularly at the company’s Texas test facility, the overall program has been moving forward at a terrific pace. The towering spacecraft, which CEO Elon Musk believes will be the key to building a sustainable human colony on Mars, has gone from CGI rendering to flight hardware in just a few short years. That’s fast even by conventional rocket terms, but then, there’s little about Starship that anyone would dare call conventional.

An early Starship prototype being assembled.

Nearly every component of the deep space vehicle is either a technological leap forward or a deviation from the norm. Its revolutionary full-flow staged combustion engines, the first of their kind to ever fly, are so complex that the rest of the aerospace industry gave up trying to build them decades ago. To support rapid reusability, Starship’s sleek fuselage abandons finicky carbon fiber for much hardier (and heavier) stainless steel; a material that hasn’t been used to build a rocket since the dawn of the Space Age.

Then there’s the sheer size of it: when Starship is mounted atop its matching Super Heavy booster, it will be taller and heavier than both the iconic Saturn V and NASA’s upcoming Space Launch System. At liftoff the booster’s 31 Raptor engines will produce an incredible 16,000,000 pounds of thrust, unleashing a fearsome pressure wave on the ground that would literally be fatal for anyone who got too close.

Which leads to an interesting question: where could you safely launch (and land) such a massive rocket? Even under ideal circumstances you would need to keep people several kilometers away from the pad, but what if the worst should happen? It’s one thing if a single-engine prototype goes up in flames, but should a fully fueled Starship stack explode on the pad, the resulting fireball would have the equivalent energy of several kilotons of TNT.

Thanks to the stream of consciousness that Elon often unloads on Twitter, we might have our answer. While responding to a comment about past efforts to launch orbital rockets from the ocean, he casually mentioned that Starship would likely operate from floating spaceports once it started flying regularly:

While history cautions us against looking too deeply into Elon’s social media comments, the potential advantages to launching Starship from the ocean are a bit too much to dismiss out of hand. Especially since it’s a proven technology: the Zenit rocket he references made more than 30 successful orbital launches from its unique floating pad.

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Budget-Friendly Bend Sensor Deforms With Precision

We’re pretty familiar with budget resistor-based bend sensors at this point, but this sensor is in a totally different class. Instead of relying on resistive elements, [Useok Jeong] and [Kyu-Jin Cho] devised a bend sensor that relies on geometric properties of the sensor itself. The result is a higher-fidelity measuring device made from a pretty widely available collection of stock parts.

We’ll admit, calling this device a bend sensor might be a bit of a stretch, so let’s dig into some of the operating principles. What we’re actually measuring is the accumulated angle, the sum of all the curvature deformations along the length of the sensing element. The sensor is made of 3 main pieces: an outer extension spring-based wire sheath; a flexible, tensioned inner wire core that’s fixed at one end; and a small displacement sensor that measures the length changes in the wire’s free end. The secret ingredient to making this setup work is a special property of the outer wire sheath or spring guide. Here, the spring guide actually resists being compressed while being bent.  Because the inner radius of the bend remains a constant length, the center wire core is forced to elongate. With the excess wire spooled up at the sensor base, we simply measure how much we collected, apply some math, and get a resulting angle! What’s more, the folks behind this trick also demonstrate that the length and angle relationship is linear with an R-square of 0.9969.

One of the best parts about this sensor is how reproducible it seems from from a modest collection of stock parts. Spring guide (aka: extension spring) is available from McMaster-Carr and DR Templeman, and that flexible core might be readily substituted with some wire rope.

It’s not everyday that new topologies for bend sensors pop into the world, let alone linear ones. To learn more, the folks behind the project have kindly made their research paper open access for your afternoon reading enjoyment. (Bring scratch paper!) Finally, if you’re looking for other bend-related sensors, have a look at this multi-bend measurement setup.

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Autonomous Multi-Task Performing Robot

[Ruchir] has been pretty into robotics for a while now and has always been amused by the ever-popular obstacle avoiding robot, but wanted something that could do more. So, like any good hacker, he decided to build something himself.

He wanted to incorporate all the popular beginner robot capabilities into a single invention. His robot can follow a line, detect an obstacle, and retrieve an object without switching between modes. It can even follow another robot, which is pretty neat.

His robot has a lot of the hardware you would expect. It uses a Raspberry Pi for all the heavy image processing, has optical sensors for line following and obstacle avoidance, and includes a speaker for audio feedback. What’s especially cool is the impressive interface, called the Regbot GUI, that [Ruchir] is using with his robot. According to the Wiki page, the Regbot GUI appears to accompany an educational robotics platform developed by Professor Jens Christian Andersen of the Technical University of Denmark for teaching controls to engineering students. [Ruchir] was able to adapt the GUI to his particular bot no problem.

Using the Regbot GUI, [Ruchir] can monitor all the robot’s sensor data in real-time (accelerometer, gyroscope, distance sensor, servo, encoder, etc.), dynamically adjust its calibration settings if needed, or even provide a universal killswitch in case the unthinkable happens. We’d say it’s definitely worth a look before you embark on your next robotics project.

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Cybercube Makes A Great Computing Companion

Oh, sure, there have been a few cube-shaped PCs over the years, like the G4 and the NeXT cube. But can they really be called cubes when the display and the inputs were all external? We think not.

[ikeji] doesn’t think so either, and has created a cube PC that puts them all to shame. Every input and output is within the cube, including our favorite part — the 48-key ortholinear keyboard, which covers two sides of the cube and must be typed on vertically. (If you’ve ever had wrist pain from typing, you’ll understand why anyone would want to do that.) You can see a gif of [ikeji] typing on it after the break.

Inside the 3D printed cube is a Raspberry Pi 4 and a 5″ LCD. There’s also an Arduino Pro Micro for the keyboard matrix, which is really two 4×6 matrices — one for each half. There’s a 6cm fan to keep things cool, and one panel is devoted to a grille for heat output. Another panel is devoted to vertically mounting the microcontrollers and extending the USB ports.

Don’t type on me or my son ever again.

When we first looked at this project, we thought the tiny cube was a companion macro pad that could be stored inside the main cube. It’s really a test cube for trying everything out, which we think is a great idea and does not preclude its use as a macro pad one of these days. [ikeji] already has plenty of plans for the future, like cassette support, an internal printer, and a battery, among other things. We can’t wait to see the next iteration.

We love a good cyberdeck around here, and it’s interesting to see all the things people are using them for. Here’s a cyberduck that quacks in Python and CircuitPython.

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The Interactive Storytelling Radio

[8BitsAndAByte] are back and this time they’re using AI to create an interactive storyteller. With the help of a Raspberry Pi, they upcycled an old Cold War era radio they dug up and the results are pretty impressive.

The main controller board of the radio was intact, so it was easy to use all the preexisting hardware to control the speaker and to trigger a few of the Pi’s GPIO using the buttons and switches on the radio’s front panel. To add some artificial intelligence, they used Google’s AIY Voice Kit, allowing them to tap into Google’s seemingly endless artificial intelligence platform. This could be a “tables have turned moment,” but we’re probably being a bit too hopeful.

Anyway, they used a pretty interesting piece of software called Dialogflow that creates a somewhat natural conversational interaction akin to a chatbox. Dialogflow processes speech to text, as you would expect, but can also interpret contextual speech and provide contextual responses. Pretty neat…but maybe also a little creepy. Who knows? The jury is still out.

Anyway, if you’re like us and sometimes in need of a break from humans, then this project just might be for you.

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Hackaday Links: September 13, 2020

Like pretty much every other big conference, the Chaos Communication Conference is going virtual this year. What was supposed to be 37C3 has been rebranded as rC3, the remote Chaos Experience. It’s understandable, as a 17,000 person live event would have not only been illegal but a bit irresponsible in the current environment. The event appears to be a hybrid of small local events hosted in hackerspaces linked with streamed talks and a program of workshops and “online togetherness.” rC3 is slated to run in the week between Christmas and New Year, and it seems like a great way to wrap up 2020.

Speaking of remote conferences, don’t forget about our own Remoticon. While it won’t be quite the same as everyone getting together in sunny — historically, at least — Pasadena for a weekend of actual togetherness, it’s still going to be a great time. The event runs November 6 to 8; we’ve had a sneak peek at the list of proposed workshops and there’s some really cool stuff. Prepare to be dazzled, and make sure you keep up on the Remoticon announcements — you really don’t want to miss this.

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