Scientists in China have built a new type of tensor processing unit (TPU) — a special type of computer chip — using carbon nanotubes instead of a traditional silicon semiconductor. They say the new chip could open the door to more energy-efficient artificial intelligence (AI).
AI models are hugely data-intensive and require massive amounts of computational power to run. This presents a significant obstacle to training and scaling up machine learning models, particularly as the demand for AI applications grows. This is why scientists are working on making new components — from processors to computing memory — that are designed to consume orders of magnitude less energy while running the necessary computations.
