I'm in a similar boat. Does anyone know any US PCB assemblers similar to PCBWay or JLCPCB? (e.g. small volume) I couldn't find any when i looked about a year ago
OSHPark is US-based and they have excellent service.
Readit Newsshraiwi commented on High tariffs become 'real' with our first $36K bill blog.adafruit.com/2025/05... · Posted by u/ptorrone
Hi HN,
I've been increasingly frustrated by the limitations of standard number inputs, especially when dealing with large values or numbers with units. Most applications simply provide a basic number box, which falls short in many scenarios.
To address this, I've created SiMin, a lightweight format for writing and parsing big numbers using SI prefixes with an emphasis on readability.
I'd love to hear your thoughts on this!
shraiwi commented on SIMD-accelerated computer vision on a $2 microcontroller shraiwi.github.io/read.ht... · Posted by u/shraiwi
> As I've been really interested in computer vision lately, I decided on writing a SIMD-accelerated implementation of the FAST feature detector for the ESP32-S3 [...]
> In the end, I was able to improve the throughput of the FAST feature detector by about 220%, from 5.1MP/s to 11.2MP/s in my testing. This is well within the acceptable range of performance for realtime computer vision tasks, enabling the ESP32-S3 to easily process a 30fps VGA stream.
What are some use cases for FAST?
Features from accelerated segment test: https://en.wikipedia.org/wiki/Features_from_accelerated_segm...
Is there TPU-like functionality in anything in this price range of chips yet?
Neon is an optional SIMD instruction set extension for ARMv7 and ARMv8; so Pi Zero and larger have SIMD extensions
Orrin Nano have 40 TOPS, which is sufficient for Copilot+ AFAIU. "A PCIe Coral TPU Finally Works on Raspberry Pi 5" https://news.ycombinator.com/item?id=38310063
From https://phys.org/news/2024-06-infrared-visible-device-2d-mat... :
> Using this method, they were able to up-convert infrared light of wavelength around 1550 nm to 622 nm visible light. The output light wave can be detected using traditional silicon-based cameras.
> "This process is coherent—the properties of the input beam are preserved at the output. This means that if one imprints a particular pattern in the input infrared frequency, it automatically gets transferred to the new output frequency," explains Varun Raghunathan, Associate Professor in the Department of Electrical Communication Engineering (ECE) and corresponding author of the study published in Laser & Photonics Reviews.
"Show HN: PicoVGA Library – VGA/TV Display on Raspberry Pi Pico" https://news.ycombinator.com/item?id=35117847#35120403https://news.ycombinator.com/item?id=40275530
"Designing a SIMD Algorithm from Scratch" https://news.ycombinator.com/item?id=38450374
Thanks for reading!
> What are some use cases for FAST?
The FAST feature detector is an algorithm for finding regions of an image that are visually distinctive, which can be used as a first step in motion tracking and SLAM (simultaneous localization and mapping) algorithms typically seen in XR, robotics, etc.
> Is there TPU-like functionality in anything in this price range of chips yet?
I think that in the case of the ESP32-S3, its SIMD instructions are designed to accelerate the inference of quantized AI models (see: https://github.com/espressif/esp-dl), and also some signal processing like FFTs. I guess you could call the SIMD instructions TPU-like, in the sense that the chip has specific instructions that facilitates ML inference (EE.VRELU.Sx performs the ReLU operation). Using these instructions will still take away CPU time where TPUs are typically their own processing core, operating asynchronously. I’d say this is closer to ARM NEON.