Thursday, November 21, 2019
On paper, new disciplines in computer science and electrical engineering such as deep learning, facial recognition, and advanced graphics processing, look easy to exploit for universities wishing to update their STEM curricula. After all, the business press is awash with gushing propaganda on vertical applications for neural networks and pattern-recognizers exploiting big data sets. A broad-based academic institution could pick domains in which they excel, such as medicine or industrial automation, and apply emerging chip and subsystem architectures to the writing of dedicated applications for those vertical domains. [Read more]