LSTC, Hokkaido University, and five other parties are collaborating to develop a 2nm low-power AI inference chip for medical imaging.

LSTC, Hokkaido University, Fujifilm, GE Healthcare, and imec are collaborating to develop a low-power AI inference chip based on a 2nm process for medical imaging, used for photon counting CT high-speed reconstruction, ultrasound imaging real-time overlay, and real-time identification during surgical microscopes. The goal is to provide 5 times the image processing speed and 10 times the energy efficiency of existing GPUs. It will be migrated to a chip after development on IBM Spyre accelerators and will be used for clinical applications at the Hokkaido University Hospital.