With the rise of machines to human-level performance in complex recognition tasks, a growing amount of work is directed towards comparing information processing in humans and machines. These works have the potential to deepen our understanding of the inner mechanisms of human perception and to improve machine learning. Exploring, understanding, and quantifying perception by studying human brain, mind, neuroscience, psychology is going to be the key. As a Biomedical Engineer, Electric Engineer, and Computer Scientist my passion is to build next-generation perceptual human-machine interfaces.