The field of Artificial Intelligence (AI) is built using neural networks that mimic the neural pathways in our own brains. Yet despite the powerful capabilities of current AI technology, its software can’t yet be classed as being independently intelligent. Further, the issue of hallucinations and black box phenomenons highlights the stark gap between the exciting results AI is able to deliver and our understanding of why computational models have reached a given outcome. This is also true with the human condition, when neurodegenerative conditions strike with unpredictable impacts on the behavior of patients. Understanding these anomalies will be central to advancing our fundamental understanding of intelligence as a concept. This work is of such rising importance that a new field of study is forming, with the ‘Physics of Intelligence’ bridging the gap between computer science, brain science and physics to better understand the universal mathematical principles that form intelligence. NTT Research announces gift to Harvard Center for Brain Science to support research in Physics of Intelligence (sociable.co)