Cutting-Edge NeuroMorphic Computing in FET-Open Projects
Delve into the fascinating world of NeuroMorphic Computing through FET-Open projects, exploring interdisciplinary collaboration, innovative technologies, and groundbreaking research initiatives aimed at revolutionizing computation methods. Discover the evolution of phase-change switches and the development of neuromorphic devices using advanced materials and novel design strategies. Uncover the latest advancements in cognitive computing and transformative technologies shaping the future of information processing.
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NeuroMorphic Computing in FET-Open Salvatore SPINELLO REA Unit A5 FET Open
REA unit A5 - FET Open Mission, facts and figures Unit created in May 2014 (Research Executive Agency) 43 staff members Close cooperation with parent unit CNECT.C.3 Managing FET-Open, supporting early-stage joint science and technology research around radically new ideas Early detection of new areas Attracting innovation players
Interdisciplinarity in FET-Open 5 disciplines 4 disciplines 3 disciplines 2 or less disciplines -1 Civil, Electronic, Robotics & Automat Eng Mechanical & Aerospace Eng 11% Maths & Computer Sc Environment Sc & Eng. 11% 43% Medicine & Medical Eng SSH 35% Physical Sc Materials Eng Creating the architectural design for NeuroMorphic Computing requires an integrative, interdisciplinary approach between computer scientists, engineers, physicists, and materials scientists Chemical Sc Bio Sc & Biotech
PHASE-CHANGE SWITCH (project started the 01/01/2017) The development of neuromorphic devices also requires the use of strongly correlated, possibly complex, heterogeneous materials. Goal: engineering of new classes of switches exploiting the abrupt phase-change Metal- Insulator-Transition (MIT) in materials and at temperatures that make them interesting for electronic circuits and systems by their performance, energy efficiency and scalability The proposal focuses on smart design and exploitation of the unique properties of the phase-change (Beyond CMOS switches), by targeting with the same technology platform: (i) von-Neumann steep-slope logic devices and circuits, to extend CMOS with novel functionality and energy efficiency (ii)uniquely reconfigurable energy efficient radio-frequency circuit functions from 1 to 100GHz, (iii)unconventional scalable neuristors exploiting the hysteretic RC switching behaviour for neuromorphic computation, and (iv)disruptive classes of solid-state ionitronic devices for neuromorphic computation, exploiting non-volatile memory effects Coordinator ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (Switzerland) Participants AMO GMBH (Germany) IBM RESEARCH (Switzerland) MAX PLANCK (Germany) THALES SA (France) UNIVERSITY OF CAMBRIDGE (United Kingdom) EU contribution: 3 883 412
