# Raspberry Pi Pico Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/raspberry-pi-pico
> Markdown URL: https://aitinkerers.org/technologies/raspberry-pi-pico.md
> Technology record last updated: 2026-02-23T23:07:03Z
> Generated: 2026-09-21T06:43:19Z

The Raspberry Pi Pico is a low-cost, high-performance microcontroller board built around the powerful, dual-core RP2040 chip.

This is the Raspberry Pi Pico: a versatile, $4 microcontroller board driven by the UK-designed RP2040 chip. It runs a dual-core Arm Cortex-M0+ processor clocked up to 133 MHz, backed by 264kB of SRAM and 2MB of on-board Flash. You get 26 multi-function GPIO pins, plus eight Programmable I/O (PIO) state machines for custom peripheral support (think: VGA or SD card emulation). Programming is simple: use C/C++ or MicroPython, then deploy via drag-and-drop over USB. It’s the efficient, powerful solution for embedded projects, robotics, and IoT applications.

- Official technology site: https://www.raspberrypi.com/products/raspberry-pi-pico/
- Public AI Tinkerers demos and talks: 2
- Result page: 1 of 1

## Recent Public Talks and Demos

### [TinyEye: Image Classification on a $4 Microcontroller — Zero Floating-Point, Zero GPU](https://tokyo.aitinkerers.org/talks/rsvp_h4mfTwScVjU)

Live demo of CIFAR-10 image classification running entirely on a Raspberry Pi Pico ($4, 256KB RAM, ARM Cortex-M0+) using integer-only arithmetic. No floating-point unit. No GPU. No cloud. The core innovation is CIA (Constructive Integer Attention) — a new mathematical framework that replaces floating-point matrix operations in neural networks with pure integer computation derived from Egyptian fraction decomposition theory. In the demo, we also briefly show CIFAR-10 sample images to the Pico and show real-time classification results on screen. If possible, I also briefly show TinyLLM — a language model generating grammatical English sentences on the same $4 chip — to demonstrate this is a general-purpose inference architecture, not a single-task trick. Technical walkthrough covers: - The CIA architecture that eliminates floating-point entirely (not quantization — the model is natively integer) - Memory layout tricks to fit a working neural network in 256KB **This demo will be presented by two people: Yuichi Suzuki (CEO, BothSides Technology) and Yoshifumi Nagano (team member). Yuichi is recovering from upper arm surgery and being discharged from the hospital on February 19th. He can present and explain the technical details but needs a second person to physically handle the demo hardware. We would appreciate two presenter spots.

- Event context: AI Tinkerers Tokyo - Toranomon Meetup - February 19, 2026 — 2026-02-19 — Tokyo
- Public talk page: https://tokyo.aitinkerers.org/talks/rsvp_h4mfTwScVjU

### [Democratizing Robotics and AI with H.I.R.O. by Takamori Robot](https://seattle.aitinkerers.org/talks/rsvp_ucomtyh1uic)

H.I.R.O. is an affordable easy to build robotics kit for teaching students robotics, and for more advanced users can be quickly modified into an A.I development kit.

- Event context: October Meetup - Science Fair at Foundations — 2025-10-23 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_ucomtyh1uic

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- [CIA (Constructive Integer Attention)](https://aitinkerers.org/technologies/cia-constructive-integer-attention) ([Markdown](https://aitinkerers.org/technologies/cia-constructive-integer-attention.md)) — 1 public demo
- [CIFAR-10](https://aitinkerers.org/technologies/cifar-10) ([Markdown](https://aitinkerers.org/technologies/cifar-10.md)) — 1 public demo
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