Google rarely fails to impress with technology demos. Their latest — Monster Mash — is aimed at using artificial intelligence to allow the creation of simple 3D animations without a lot of training or trouble. We’ll warn you: we aren’t artists so we didn’t get the results the demos were showing, but then again, if you are even a little artistic, you’ll probably have better luck than we did. You might want to start watching the video, below.
There’s also a research paper if you are more interested in the technology. The idea is to make simple line drawings in 2D. Then you inflate the object to 3D. The final step is to trace out animation paths.
Many readers will be familiar with the final scene of Raiders Of The Lost Ark, in which the Ark of the Covenant, having been retrieved by Indiana Jones, is placed in a crate and wheeled off to be lost in the seemingly infinite depths of a dusty Government warehouse. Who knows what treasures lurk in such fabled taxpayer-funded repositories, and as if to prove their vast potential, [Arthur O’Dwyer] relates a tale of digital archaeology in which the entire source code of a game thought long-lost was regurgitated with the help of a civil servant.
The game in question is Castlequest, which he had played in the 1980s on the now-defunct GEnie online service. One of very few online references to it came via an entry in the copyright catalog of the US Copyright Office, where copyright holders can choose to register their works. Eventually after some detective work and a conversation with one of the game’s authors, he received copies of the entry. But instead of the expected summary, he was pleasantly surprised to find the full Fortran code of the game. The snag was that it came as a PDF scan of printed pages rather than as code itself, so there followed a tedious process of transcription before it could be published in a GitHub repository and eventually made compilable. The code remains copyrighted as an important part of its story, but should you be interested you can transport yourself back four decades and try your luck at text adventuring.
Maybe there’s more to be found in those dusty copyright warehouses, and searching for it has to be more pleasant than digging up landfills.
Last month we brought you word of tonyhax, a clever exploit for the original Sony PlayStation that leveraged a buffer overflow in several of the games from the Tony Hawk Pro Skater series to load arbitrary code from a specially prepared memory card. But now [Bradlin] has taken that idea a step further and developed a software exploit for Sony’s iconic console that doesn’t need to be triggered from a game.
The exploit is considerably more complex this time around, but [Bradlin] does an excellent job of breaking it down for those who want the gritty details. The short version is that missing boundary checks in the PlayStation’s built-in memory card handling routines mean a carefully formatted “block” on the memory card can get the console to execute a small 128 byte payload. That’s not a lot of room to work with, but it ends up being just enough to load up additional code stored elsewhere on the memory card and really kick things off.
Unlike tonyhax, which was designed specifically to allow the user to swap their retail Tony Hawk disc with a game burned to a CD-R, [Bradlin]’s FreePSXBoot is presented as more of a generic loader. As of right now, it doesn’t allow you to actually play burned games, although its inevitable that somebody will connect those last few dots soon.
If you want to check out the progress so far, all you need is wire a PlayStation memory card up to an Arduino, write the provided image to it, and stick it in the slot. [Bradlin] says the exploit doesn’t work 100% of the time (something else that will surely be addressed in future releases), but it shouldn’t take too many attempts before you’re greeted with the flashing screen that proves Sony’s 27 year old console has now truly been bested.
The rumor mill has recently been buzzing about Nintendo’s plans to introduce a new version of their extremely popular Switch console in time for the holidays. A faster CPU, more RAM, and an improved OLED display are all pretty much a given, as you’d expect for a mid-generation refresh. Those upgraded specifications will almost certainly come with an inflated price tag as well, but given the incredible demand for the current Switch, a $50 or even $100 bump is unlikely to dissuade many prospective buyers.
But according to a report from Bloomberg, the new Switch might have a bit more going on under the hood than you’d expect from the technologically conservative Nintendo. Their sources claim the new system will utilize an NVIDIA chipset capable of Deep Learning Super Sampling (DLSS), a feature which is currently only available on high-end GeForce RTX 20 and GeForce RTX 30 series GPUs. The technology, which has already been employed by several notable PC games over the last few years, uses machine learning to upscale rendered images in real-time. So rather than tasking the GPU with producing a native 4K image, the engine can render the game at a lower resolution and have DLSS make up the difference.
The current model Nintendo Switch
The implications of this technology, especially on computationally limited devices, is immense. For the Switch, which doubles as a battery powered handheld when removed from its dock, the use of DLSS could allow it to produce visuals similar to the far larger and more expensive Xbox and PlayStation systems it’s in competition with. If Nintendo and NVIDIA can prove DLSS to be viable on something as small as the Switch, we’ll likely see the technology come to future smartphones and tablets to make up for their relatively limited GPUs.
But why stop there? If artificial intelligence systems like DLSS can scale up a video game, it stands to reason the same techniques could be applied to other forms of content. Rather than saturating your Internet connection with a 16K video stream, will TVs of the future simply make the best of what they have using a machine learning algorithm trained on popular shows and movies?
High-level programming languages do a great job of making a programmer’s job easier, but these languages often leave a lot of efficiency on the table as a compromise. While a common thought is to move into a lower-level language like assembly to improve on a program’s speed or memory use, there’s often a lot that can be done at the high level before resorting to such extremes. This, of course, is true of the Arduino platform as well, as [NerdRalph] demonstrates by shrinking the size of the Arduino core itself.
[NerdRalph] had noticed that the “blink” example program actually includes over 1 kB of extraneous code, and that more complicated programs include even more cruft. To combat this issue, he created ArduinoShrink, which seeks to make included libraries more modular and self-contained. It modifies some of the default registers and counters to use less memory and improve speed, and is also designed to improve interrupt latency as well by changing when the Arduino would otherwise disable interrupts.
While there are some limits to ArduinoShrink, such as needing to know specifics about the pins at compile time, for anyone writing programs for Arduinos that are memory-intensive or need improvements in timing, this could be a powerful new tool. If you’d prefer to go in the opposite direction to avoid ever having to learn C or assembly, though, you can always stick with running Python on your embedded devices.
When conversation turns to the older Nokia mobile phones, it’s unlikely to be the long battery life or ability to conjure a signal out of thin air that tickles people’s memory, instead it’s the Snake game built into the stock firmware. Snake was an addictive yet extremely simple game in which a line of pixels — the snake in question — was navigated around the screen to eat the fruit without crashing into walls or itself. As the game progressed the snake grew in length, making it a surprisingly difficult challenge. If you hanker for Snake, as [VK5HSE ] writes, you can now play it in a PCB layout.
The software in question is PCB-RND, a cross-platform open-source PCB CAD tool, and the game is achieved through the magic of user scripting. Simply download the script, run it in your favourite circuit board, and away you go!
We can’t imagine a productive use for this piece of software, but it wouldn’t surprise us to see a snake slithering into a few boards we feature. It does provide a handy reminder though of the power in your PCB CAD tool’s scripting features, something it’s likely not many of us use to their full potential.
Here’s how FreeCAD works: the program’s design space is separated into different “workbenches”, each of which is intended for a particular set of operations, and a piece of work can be moved between them as needed. There is a sketching workbench, a part design workbench, and now a Rocket workbench has been added to the healthy ecosystem of FreeCAD add-ons. There’s even a series of video tutorials; ain’t open source grand?
This sort of development and utility is exactly the kind of thing our own Elliot Williams was describing when he made the point that one of open source’s greatest strengths is in the little things, like the FreeCAD ecosystem letting people scratch strange and specific itches, and the ability to share those solutions with others.
The software in question is 
