Symposium NM07—Progress in Neuromorphic Computing Materials, Devices and Systems
This symposium will broadly cover current and emerging materials, devices, and systems for neuromorphic computing. The aim is the cross-fertilization between the material science community and the community of researchers working on the design and fabrication of circuits and systems. The main topics will cover materials and fabrication strategies towards hardware-adaptive computing architectures, co-design between materials/devices and circuit/system/algorithm, the interplay of different methodologies such as circuit engineering using conventional passive and active circuit elements, with employing new physical concepts and bio-inspired novel paradigms.
A key focus will be on neuromorphic approaches for complex applications such as autonomous control, pattern recognition, decision making, information processing in complex environments with high efficiency and throughput requirements. The symposium will focus on the rapid flourishing of novel materials and systems integrating memory and data processing capabilities, their organization into devices and processes toward large-scale productions.
Systems for neuromorphic computing include: phase change and valence change materials, ferroelectric tunnel junctions, magnetic devices, MemFlash devices, polymer nanocomposites, nanoparticle and nanowire networks, materials for configurable analog processors. Contribution in the field of non-Boolean computing such as oscillatory computing, reservoir computing, stochastic computing and bio-inspired approaches, are welcome.