Tiny AI: 8 kilobyte neural networks in shoes, bikes, cameras

AI is big these days. Massive. More parameters, more memory, more capability. But what if the future is in tiny AI. Neural networks as small at 8 kilobytes on tiny chips, embedded in everything?

Think smart shoes.

Smart doors.

Smart ... everything

In this episode of TechFirst, host John Koetsier discusses the future of smart devices with Yubei Chen, co-founder of AIzip.

The conversation explores how small-scale AI can revolutionize everyday objects like shoes, cameras, and baby monitors. They delve into how edge AI, which operates at the device level rather than in the cloud, can create efficient, reliable, and cost-effective smart solutions. Chen explains the potential and challenges of integrating AI into traditional devices, including the hardware and software requirements, and touches on the implications for product quality, safety, and cost.

This insightful discussion provides a look into the near future of ubiquitous, intelligent technology in our daily lives.

00:00 Introduction to Smart Matter

01:17 Examples of Smart Applications

03:40 Building Efficient AI Models

04:01 The Future of Edge AI

09:32 Hardware for Smart Devices

11:52 Potential Downsides and Challenges

18:14 Conclusion and Final Thoughts