Seeed Studio Codecraft Recognized Finalist by Edtech Awards 2022

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.

Hey community,

A piece of exciting news to share is that right after being recognized by the Bett Awards 2022, our 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. The EdTech Awards were established in 2010 in the US, and it’s one of the world’s largest recognition programs for education technology.

“We are delighted to know that our tinyML Graphical Programming Platform Codecraft has been recognized. Codecraft will definitely expand tech learning for people who want to embrace embedded Machine Learning. I’m extremely proud of our team’s steadfast commitment to lowering the technical barriers for people to get started with AI. With the empowerment of this emerging tech, we believe everyone can get the chance to deploy for real uses in the real world.” said Eric Pan, the Founder, and CEO of Seeed Studio.

Tiny Machine Learning (TinyML) is one of the fastest-growing fields in artificial intelligence. How to enable a bigger audience to be able to access to learn and even deploy TinyML to real-world industry applications is the foothold of Codecraft. Codecraft is a block-based graphical programming environment based on Scratch 3.0. It supports a great variety of programming languages like Arduino IDE, Python, C, JavaScript, and the like. And thanks to simple drag-and-drop coding in Codecraft, data acquisition, training, and model deployments are becoming easier and more vivid than ever. Using graphical programming methodology, people with no programming background are now empowered to run embedded Machine Learning on simple equipment to create tinyML application projects in practice to solve complex problems.

It also supports various open-source hardware platforms, including Arduinomicro:bitsWio Terminal, Grove, Bittle, and more. Based on these microcontrollers, it is also built on its own programming ecosystem with step-by-step courses and projects tutorials. It enables people to learn to code, think, and work collaboratively with others – all online and free.

Incorporating tinyML into real applications at a large scale requires the development of end-to-end pipelines appropriate for all. With Codecraft, Seeed is working with the education sector and relevant industry partners to combine computer science education software and a physical computing ecosystem. Working together, it will enable an easy and accessible learning experience for creating and deploying tinyML models. In this way, it can furthermore enable learners to apply innovative solutions to the challenges faced by the world.

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