Our program aims to design, synthesize and integrate physical building blocks (i.e. materials) with intrinsic cognitive functionality via cross-linked networks at the nanoscale, allowing more efficient and denser circuits than those of state-of-the-art solutions (e.g. neuromorphic chip TrueNorthTM). Joining expertise from materials science (physics and chemistry), computer science, artificial intelligence and mathematics, we will investigate and design the optimal implementation of such new material structures at the system level. From the algorithm side, we aim to realize cognitive functionality on established computer platforms, with specific focus on cognitive materials design, to develop systems that can search a large body of information in a cognitive manner.
|Last modified:||31 January 2018 3.50 p.m.|