Two Perspectives On James Clerk Maxwell And His Equations

We are unabashed fans of [The History Guy’s] YouTube channel, although his history videos aren’t always about technology, and even when they are, they don’t always dig into the depths that we’d like to see. That’s understandable since the channel is a general interest channel. However, for this piece on James Clerk Maxwell, he brought in [Arvin Ash] to handle the science side. While [The History Guy] talked about Maxwell’s life and contributions, [Arvin] has a complementary video covering the math behind the equations. You can see both videos below.

Of course, if you’ve done electronics for long, you probably know at least something about Maxwell’s equations. They unified electricity and magnetism and Einstein credited them with spurring one of his most famous theories.

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Tesla Eyes Ultracapacitor Future With Maxwell Acquisition

As reported by Bloomberg, Tesla has acquired the innovative energy storage company Maxwell Technologies for $218 Million. The move is a direct departure from Tesla’s current energy storage requirements; instead of relying on lithium battery technology, this acquisition could signal a change to capacitor technology.

The key selling point of capacitors, either of the super- or ultra- variety, is the much shorter charge and discharge rates. Where a supercapacitor can be used to weld metal by simply shorting the terminals (don’t do that, by the way), battery technology hasn’t yet caught up. You can only charge batteries at a specific rate, and you can only discharge them at a specific rate. The acquisition of an ultracapacitor manufacturer opens the possibility of these powerhouses finding their way into electric vehicles.

While there is a single problem with super- and ultra-capacitors — the sheer volume and the fact that a module of ultracaps will hold much less energy than a module of batteries of the same size — the best guess is that Tesla won’t be replacing all their batteries with caps in the short-term. Analysts think that future Teslas may feature a ‘co-battery’ of sorts, allowing for fast charging and discharging through a series of ultracapacitors, with the main energy storage in the car still being the lithium battery modules. This will be especially useful for regenerative braking, as slowing down a three thousand pound vehicle produces a lot of energy, and Tesla’s current battery technology can’t soak all of it up.

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Hackaday Links: April 21, 2024

Do humanoid robots dream of electric retirement? Who knows, but maybe we can ask Boston Dynamics’ Atlas HD, which was officially retired this week. The humanoid robot, notable for its warehouse Parkour and sweet dance moves, never went into production, at least not as far as we know. Atlas always seemed like it was intended to be an R&D platform, to see what was possible for a humanoid robot, and in that way it had a heck of a career. But it’s probably a good thing that fleets of Atlas robots aren’t wandering around shop floors or serving drinks, especially given the number of hydraulic blowouts the robot suffered. That also seems to be one of the lessons Boston Dynamics learned, since Atlas’ younger, nimbler replacement is said to be all-electric. From the thumbnail, the new kid already seems pretty scarred and battered, so here’s hoping we get to see some all-electric robot fails soon.

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Screenshot of eBay listings with Gigaset IoT devices being sold, now basically useless

A Giga-Sunset For Gigaset IoT Devices

In today’s “predictable things that happened before and definitely will happen again”, we have another company in the “smart device” business that has just shuttered their servers, leaving devices completely inert. This time, it’s Gigaset. The servers were shuttered on the 29th of March, and the official announcement (German, Google Translate) states that there’s no easy way out.

It appears that the devices were locked into Gigaset Cloud to perform their function, with no local-only option. This leaves all open source integrations in the dust, whatever documentation there was, is now taken down. As the announcement states, Gigaset Communications Gmbh has gotten acquired due to insolvency, and the buyer was not remotely interested in the Smart Home portion of the business. As the corporate traditions follow, we can’t expect open sourcing of the code or protocol specification or anything of the sort — the devices are bricks until someone takes care of them.

If you’re looking for smart devices on the cheap, you might want to add “Gigaset” to your monitored search term list — we’ll be waiting for your hack submissions as usual. After all, we’ve seen some success stories when it comes to abandoned smart home devices – like the recent Insteon story, where a group of device owners bought out and restarted the service after the company got abruptly shut down.

We thank [Louis] for sharing this with us!

Complex Organic Chemistry In Sulfuric Acid And Life On Venus

Finding extraterrestrial life in any form would be truly one of the largest discoveries in humankind’s history, yet after decades of scouring the surface of Mars and investigating other bodies like asteroids, we still have found no evidence. While we generally assume that we’re looking for carbon-based lifeforms in a water-rich environment like Jupiter’s moon Europa, what if complex organic chemistry would be just as happy with sulfuric acid (H2SO4) as solvent rather than dihydrogen monoxide (H2O)? This is the premise behind a range of recent studies, with a newly published research article in Astrobiology by [Maxwell D. Seager] and colleagues lending credence to this idea.

Previous studies have shown that organic chemistry in concentrated sulfuric acid is possible, and that nucleic acid bases – including adenosine, cytosine, guanine, thymine and uracil which form DNA – are also stable in this environment, which is similar to that of the Venusian clouds at an altitude where air pressure is roughly one atmosphere. In this new article, twenty amino acids were exposed to the concentrations of sulfuric acid usually found on Venus, at 98% and 81%, with the rest being water. Of these, 11 were unchanged after 4 weeks, 9 were reactive on their side chains, much like they would have been in pure water. Only tryptophan ended up being unstable, but as the researchers note, not all amino acids are stable in water either.

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Two ICL PERQ 1 workstation computers, Department of Computer Science, North Machine Hall, James Clerk Maxwell Building, University of Edinburgh. (Credit: J. Gordon Hughes)

The Flex Computer System: UK’s Forgotten Capability Computer Architecture

During the 1970s many different computer architectures were being developed, many of them focused on making computer systems easier and more effective to use. The Flex Machine developed at the UK Ministry of Defence’s Royal Signals and Radar Establishment (RSRE) was one of them, falling in the category of Capability Architectures. These architectures required hardware with programmable microcode, which required either custom hardware, or computer systems like the Xerox Alto-inspired ICL PERQ (pictured). What’s interesting about Flex is that it didn’t just remain in the 1980s as a quaint footnote, but as detailed by [Martin C. Atkins] – who worked on the system – evolved into the Ten15 system, which later got renamed to TenDRA.

Capability architectures have a long history – including the Intel iAPX 432 and more recent implementations – but they all have in common is that they effectively implement an object-based memory architecture, rather than the low-level, flat memory space that we usually see with computer systems. These object-based capabilities, as they were termed, provides a level of memory protection and security that would be hard to implement otherwise. The book Capability-Based Computer Systems by [Henry M. Levy] forms a good introduction here.

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Hands-On: NVIDIA Jetson Orin Nano Developer Kit

NVIDIA’s Jetson line of single-board computers are doing something different in a vast sea of relatively similar Linux SBCs. Designed for edge computing applications, such as a robot that needs to perform high-speed computer vision while out in the field, they provide exceptional performance in a board that’s of comparable size and weight to other SBCs on the market. The only difference, as you might expect, is that they tend to cost a lot more: the current top of the line Jetson AGX Orin Developer Kit is $1999 USD

Luckily for hackers and makers like us, NVIDIA realized they needed an affordable gateway into their ecosystem, so they introduced the $99 Jetson Nano in 2019. The product proved so popular that just a year later the company refreshed it with a streamlined carrier board that dropped the cost of the kit down to an incredible $59. Looking to expand on that success even further, today NVIDIA announced a new upmarket entry into the Nano family that lies somewhere in the middle.

While the $499 price tag of the Jetson Orin Nano Developer Kit may be a bit steep for hobbyists, there’s no question that you get a lot for your money. Capable of performing 40 trillion operations per second (TOPS), NVIDIA estimates the Orin Nano is a staggering 80X as powerful as the previous Nano. It’s a level of performance that, admittedly, not every Hackaday reader needs on their workbench. But the allure of a palm-sized supercomputer is very real, and anyone with an interest in experimenting with machine learning would do well to weigh (literally, and figuratively) the Orin Nano against a desktop computer with a comparable NVIDIA graphics card.

We were provided with one of the very first Jetson Orin Nano Developer Kits before their official unveiling during NVIDIA GTC (GPU Technology Conference), and I’ve spent the last few days getting up close and personal with the hardware and software. After coming to terms with the fact that this tiny board is considerably more powerful than the computer I’m currently writing this on, I’m left excited to see what the community can accomplish with the incredible performance offered by this pint-sized system.

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