Andras Wirth is like many early AI researchers: His deep learning ambitions only turned into reality because of a sea change in technology. A physicist, Wirth wanted to run Monte Carlo algorithms to make leaping advances in nuclear imaging, which was previously computationally impossible without massive supercomputers.
A decade ago, his breakthrough came when his lab began using GPUs and the first CUDA release on the computationally demanding algorithms. On Thursday at the GPU Technology Conference in Silicon Valley, Wirth, who leads nuclear imaging at Mediso Medical, spoke about his company’s groundbreaking work.
