June 17 Online tinyML SZ Meetup:  Delivering Machine Learning Concepts into K-12 Curriculum

Hey community, join us at the next tinyML Shenzhen meetups at 4:30 AM on June 17 (PT). We’ll have Chi-Hung Tseng, Director at CAVEDU Education, Assistant professor at National Taiwan University of Science and Technology, and NVIDIA Jetson AI Ambassador, as the lecturer to talk about Delivering Machine Learning Concepts into K-12 Curriculum.

In this topic, Chi-Hung Tseng will show his personal experiences teaching machine learning concepts in the K-12 curriculum with the Wio Terminal dev board. In a hands-on curriculum design, you will see how the student gains brand insight from the sensor data and make their project more attractive.

Details

🎤Talk theme: Delivering Machine Learning Concepts into K-12 Curriculum

⌚️Time:04:30 AM – 5:30 AM (PDT) // 07:30-08:30 PM (GMT +8),June 17, 2022

✅Language: Chinese

📖Note: If you are interested in TinyML and want to share more with the community, please click here to join our discord!

About the Speaker

Dr. Chi-Hung Tseng (David), director of CAVEDU Education. Devoting to technology education, David and his partners are intensively teaching fundamental knowledge and skills. As the assistant professor of NTUST and one of the NVIDIA Jetson AI ambassadors, David has hosted many deep-learning-related courses and workshops. David has also published many books for students of all ages, including robotics, IoT edge devices, and deep learning applications. Please check CAVEDU’s website for more information.

Wio Terminal: A Complete AI Platform to Get Started with TinyML

Wio Terminal is a complete AI platform to get started with TinyML and IoT – Built around the ATSAMD51P19 and ARM Cortex-M4F at 120MHz for high compatibility with various ML frameworks for microcontrollers. In addition to integrated WiFi & Bluetooth, it has an onboard 2.4” LCD Display, IMU, microphone, buzzer, microSD card slot, light sensor & infrared emitter to tackle any kind of application.

The Wio Terminal is also officially supported by Edge Impulse and TensorFlow Lite (two popular TinyML software platforms), which means that you can easily design and deploy ML applications with it! You can explore the endless possibilities with hardware, software, and learning resources on our Hello World of AI page.

Last but not least, we are calling for speakers for our more upcoming tinyML Shenzhen meetups and talks. If you want to be a speaker to share with the global community your journey of tinyML, please click here to apply.

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