Seeed Studio at Maker Faire Hannover 2026: Demos, Workshops, and a Call to Makers
It’s that time of year again — Maker Faire Hannover is back on August 15–16,
It’s that time of year again — Maker Faire Hannover is back on August 15–16,
CodeCraft is a hardware-focused AI coding assistant that helps you turn natural language ideas into runnable firmware and real device projects in minutes, with cloud compilation and one-click upload.
We are excited to announce that Codecraft, our visual programming software platform is now officially open source on GitHub. Codecraft, which is based on Scratch 3.0 (https://scratch.mit.edu/), is a powerful tool that allows STEAM educators and beginner learners to use block-based interfaces to program microcontrollers, such as the Arduino compatible boards (Grove Beginner Kit for Arduino), Wio Terminal, Micro:bit, Bittle, M.A.R.K(CyberEye), Grove Zero, and GLINT.
Seeed Studio’s Graphical Programming Platform for Edge Machine Learning Codecraft, is nominated as a finalist of the artificial intelligence (AI) solution category of the EdTech Awards 2022.
Yes! 2 months in one piece. A little body often harbors a great soul.
For this post, we’ll cover 6 breaking news that you might want to know about, 8 awesome projects from the community, 2 stories on how to deploy IIoT Solution to solve real-world issues, 6 technical write-ups, 2 successful manufacturing case, and 2 prototyping sponsorships and 2 giveaways. Some hottest topics like XIAO BLE, RP2040, OTA, embedded Machine Learning will be covered too.
Seeed Studio’s Codecraft – a Graphical Programming Platform for Embedded Machine Learning – was recently nominated as a finalist for BETT Awards 2022. In collaboration with Edge Impulse, Seeed relaunched Codecraft aiming to provide fair access to AI capabilities and to enable anyone to invent intelligent solutions for the real world around us.
Hi friends, We’ve just launched our campaign. Please support us on #kickstarter & claim your
As a little creative experiment, we here at TinkerGen decided to make a short documentary
Train your machine learning models in Google Colab and easily optimize them for hardware accelerated
Hajimete! Let DL pushing madness begin! Original article by Dmitry Maslov published on Hackster.io Robot-sumo, or
Over the past six weeks I have had the privilege to test an early release