In this paper, we disentangle the changes that the rise of Artificial Intelligence Technologies (AITs) is inducing in the semiconductor industry. The prevailing von Neumann architecture at the core of the established “intensive” technological trajectory of chip production is currently...

This paper presents a methodology to identify agents who should be put into isolation to decelerate a diffusion process spreading through-out a network. We refer to this measure as to Diffusion Delay Centrality (DDC). We show that DDC assigns a high rank to agents acting as the gatekeepers of...

This study introduces a new adoption model for assessing the quality of experience (QoE) of radiologists using AI-based medical imaging technology. While AI has increasingly been used by radiologists for screening, diagnosis, and classification of medical images, previous investigations have...