Stony Brook University Computer Science

Brain-inspired Computing Lab (BCL), led by Prof. Yoon Seok Yang, was selected to participate in the 2025 Preliminary Startup Package program organized by the Ministry of SMEs and Startups of Korea.

BCL’s selected project, “Next-Generation AI Neuromorphic Processor Semiconductor Design”, is about developing a new type of on-device AI chip for edge computing that works more like the human brain. Most of today’s AI systems use GPUs, which are powerful but consume a lot of electricity and cost a great deal to run. As AI models get bigger and more complex, this problem is becoming even more serious. BCL aims to create a processor based on neuromorphic computing, which mimics the way neurons and synapses in the brain work. This makes it possible to run AI much faster and with far less energy, which is especially important for edge devices like self-driving cars, robots, and smart devices that need to work in real time. 

In the project, BCL plans to design the chip itself, build a test version using an FPGA board, and make sure it can handle well-known datasets like ImageNet. BCL are also creating easy-to-use software tools so that developers can work with their chips just like they would with existing platforms such as TensorFlow or PyTorch. In the future, the goal is to make these chips available for many different applications and contribute to AI technology that is not only more powerful but also more energy-efficient and accessible.