Welcome to FreeCircuit Team(by Jiaqi)!

Welcome to FreeCircuit Team!

About Me

As a third-year Ph.D. candidate at HKUST, my research is at the intersection of AI chip design and computational architectures, with a focus on innovative applications in electronic and computer engineering.

About FreeCircuit

Our goal is to build up an automatic slicon-based intelligence.

The first step is to develop a simple AI System with our own-designed chips, the target AI model is LLM and Transformer.

The future steps is to democratize the AGI chips and make it available for everyone in the WORLD!

We don’t need OpenAI, but we indeed need FreeCricuit :)

Currently, our team’s target is to build an AI chip using photonic interconnect and HBM memory chips, which is promising to compete with NVIDIA and AMD. We are targeting to integrate different electronic and photonic chiplets into a single unified silicon interposer, which is in progress with the help of CityU’s team. This photonic-electronic hybrid AI chip is my ultimate goal for my PhD thesis.

By the way, the FreeCircuit team is an independent worldwide open-source student research group and works for the non-profit target. We do have some collaborations with other PhD students from the Mainland, Europe, and the US. We are now not affiliated with any research labs or organizations. Currently, we are a PG student research team, and we are not a company now. We are also not looking for profit because we want to learn from the idea of an OpenAI company, although it might not be a good example now :) Our team’s ultimate goal is to make AI chips as cheap as possible and give everyone on the earth equal rights to buy and use advanced artificial intelligence on our silicon chips. This is our vision and destiny in our team’s DNA.

Collaboration

I am always open to collaborative opportunities that push the boundaries of technology and contribute to our understanding and capabilities in this field.

My investigative pursuits are twofold:

  • Encompassing AI chip design assisted by large language models(LLM)
  • Architectures and compilers for accelerating large language models(LLM)

If you are intereste to discuss potential projects or research, feel free to reach out to me at jiaqi.liu@connect.ust.hk.