General Purpose Technologies (GPTs) that can be applied in many industries are an important driver of economic growth and national and regional competitiveness. In spite of this, the geography of their development and diffusion has not received significant attention in the literature. We address this with an analysis of Deep Learning (DL), a core technique in Artificial Intelligence (AI) increasingly being recognized as the latest GPT. We identify DL papers in a novel dataset from ArXiv, a popular preprints website, and use CrunchBase, a technology business directory to measure industrial capabilities related to it.
Recommended citation: Klinger, J., Mateos-Garcia, J.C. and Stathoulopoulos, K., 2018. Deep learning, deep change? Mapping the development of the Artificial Intelligence General Purpose Technology.