In recent times, data has become one of the most precious resources in both business and science. For projects such as iToBoS, which aims to utilize deep learning in the global fight against melanoma, the veracity, validity and volume of data is essential.
A large volume, however, brings with it its own set of challenges. As the amount and availability of data increased drastically, the effective processing of said data became a considerable challenge for the employed technologies. One of the greatest tools in our hands, which revolutionized data processing and consequently deep learning, are graphical processing units (GPUs).
Keep reading at Accelerating research with GPU computing.