 GPUs speed up training algorithms by orders of magnitude, reducing running times from weeks to days.Further, specialized hardware and algorithm optimizations can be used for efficient processing of deep learning models.In 2012, a team led by George E. Dahl won the "Merck Molecular Activity Challenge" using multi-task deep neural networks to predict the biomolecular target of one drug.