Welcome to the AI Tools and Techniques Forum Category
Aristides Alvarez
Posts: 492
This category is for sharing and discussing LLM and AI tools and techniques for programming the Propeller (1 or 2) in any language or for generating documentation.
Parallax will host several AI-specific Zoom presentations and workshops with interested members. These meetings will be scheduled on their own dates and times.
This Category and the meetings were requested on the last PLF (Propeller Live Forum) and you can watch the video here:
https://youtu.be/X6tBaA0ZRdQ?feature=shared
Comments
cringe
One interesting thing is the ability to make apps for mobile devices using AI.
Getting it to create an interface for Wifi control of something would be nice.
Haven't heard that it can do that, but maybe it could.
I actually tested this but I requested the code to be B4A (Basic 4 Android) and it got the WiFi stuff right first time. I'll see if I still have it when I get to my other PC.
However, it doesn't get any easier than using RFO BASIC interpreter, no tool-chain required and one can create a single .apk by "compiling" (packaging really) right on the Android device.
Yeah, it's inevitable that the topic of neural networks and AI on microcontrollers would pop up here.
I came across this video on YouTube describing a neural network application running on an Arduino:
It's a relatively simple task: read the voltage value from a potentiometer, then illuminate different colored LEDs depending upon the normalized input value. That's something standard Spin, Assembly, C, or FORTH code could easily handle, but this neural network application appears to use PWM outputs to drive the LEDs, so it's able to partially illuminate them for potentiometer values that fall between the pre-defined 8 values.
This simple LED task is something the P2 should be able to easily handle. It won't work on the P1 since it lacks an internal A/D converter but can probably work if an external one is used.
The video also mentioned the availability (or lack thereof) of neural network libraries for microcontrollers. Overall, it might be worthwhile to investigate further.
One can do adc on P1 with some external resistors
https://www.rayslogic.com/propeller/programming/adc.htm
Registration for the Propeller Live Forum - AI workshops is available under Propeller 1 & 2 Events tab on this link:
https://parallax.com/category/events/
We have scheduled three events:
Please note that these events are independent of the Propeller Live Forums which were also posted through December.
Yeah, a phone would make a really nice UI, file server, internet connection, power supply, debug console, code downloader, and maybe even light development platform for debugging things in situ.
Since I know more about linux than Android (which technically runs the linux kernel), I would probably start with chroot installation of ubuntu or debian, and then build things from within the environment I know.
Or maybe I would use AndroWish.
AI, on the other hand could help me get started with something simple.
The possibilities are endless.
@hinv, @Rayman, I'm an experienced iPhone/Watch/aTV developer. In the mid-2000s's i simply added a BTLE capable radio to my P1 and a string of addressable LEDs arranged in a matrix (sign-board'ish)
Then write app talking BTLE on iOS to P1 via BTLE... pretty easy pattern has download of strings, color control, scrolling, etc.
And yes, AI can help you write both ends of this using P2 with BTLE radio. IMHO: Easier to set up and connect from iPhone than using WiFi!
Also hopefull that ChatGpt can help with old school game content creation.
Seems it can make images, but only if paid…
When is our next zoom meeting?
@"Stephen Moraco"
@hinv
@Rayman
About radio, I just finished a class at the local college on that topic. Was fun. Can you guys elaborate a bit on the above post about radio please.
Martin
@Wingineer19
There was an article in Nuts and Volts that I am trying to find. A doctor daisey chained several P1s to do neural networking.
I gotta dig through my hard copies as I cannot find it on their site. Thanks for the video.
Martin
Interested in others' experience using AI helpers for Propeller 1.
Don't expect AI to write working P1 programs (or P2 for that matter). There's just not a lot of material out there for AI to copy-and-paste from. That said, if you're looking for assistance and understand how the P1 works, you can ask AI for general assistance. I've done this recently with some OLED displays that I want to try. I ask for generic code that can run on anything and then do the P1/P2 specifics myself. Yes, it still takes some work, but overall this process lets me get to a decision point about a device more quickly.
I may test some AI bots helping me with a SPIN1 object that read 8 rotary encoders and 8 buttons, (using some 74HCT165 to save P1 I/O pins).
This will be used in my MIDIBEAT project. Will report back here if I get anything working!
Shouldn't be tough; reading '165s is easy. With three of them you could do 8 encoders (2 pins each) and 8 buttons. Here's how you might do the raw read in PASM (not tested, but translated from Spin that works):
rd_165s andn outa, ld165mask ' blip load line or outa, ld165mask mov regdata, #0 ' clear workspace mov regbits, #24 ' read 3x 165s :loop shl regdata, #1 ' make room for bit test ina, di165mask wc ' sample data line from 165 muxc regdata, #1 ' write bit to data or outa, clk165mask ' clock next bit andn outa, clk165mask djnz regbits, #:loop ' get next bit if not doneI think Jeff Martin wrote a multi-encoder P1 object a long time ago. You might be able to lift some code from that to process the encoder bits.
Cheers Jon, appreciated.
Hope to get a PCB after verifying SPIN/PASM code and stripboard layout testing