Please contact the symposium organizers with questions.

The human nervous system is a massively distributed, parallel, and interconnected system, with superior functionality and performance in data processing and adaptive learning compared to digital computers. Neuromorphic computing aims to replicate some of the functionality and architecture of the human brain within artificial machines. Accurate and faithful emulation of neuromorphic functionality requires unconventional materials and devices beyond the standard von Neumann digital architecture. Moreover, the computational primitives of biological neural networks on device and circuit level can be considered a first step towards efficient neuromorphic computing systems that are able to analyze, interpret, perceive and act upon a dynamic, real-world environment. Thus, a new era of smart sensor and actuation applications is emerging with systems that perceive and interact with the world and efficiently couple with biological environments. This approach requires materials, devices and systems that would be able to interface biology in a smart and dynamic way.

The purpose of this symposium is to bring together an interdisciplinary and diverse group of researchers on neuromorphic computing as well as smart sensing, actuation and bio-interfacing, enhancing transdisciplinary interactions and bridging gaps between materials science, computing and neuroscience. The symposium focuses on elements with simultaneous memory and processing capabilities towards "in-memory" computing and local adaptive bio-interfaces and computing paradigms, and highlights fundamental materials properties, discovery of novel inorganic and organic materials, novel devices harnessing physical emergent phenomena, new computing paradigms enabled by unconventional materials, and theory and simulation on materials, devices, and architectures.

Topics will include:

• Bioelectronics, smart sensors, and bio-inspired information processing
• Inorganic and organic materials for neuromorphic devices
• Nonvolatile memory with hybrid memory and computation capabilities
• Devices and circuits for neuromorphic computing
• Adaptive bio-interfacing and neural interface devices
• Memristive materials and devices at the interface with biology
• Neuromorphic and memristive sensors and actuators
• Stochastic memory devices and neural networks
• Theory and simulation of materials and devices in memory-based computing

Invited Speakers:

• Fabien Alibart (University of Lille, France)
• Stefano Ambrogio (IBM T.J. Watson Research Center, USA)
• Fabio Biscarini (University of Modena, Italy)
• Monica Burriel (Université Grenoble Alpes, France)
• Regina Dittman (Forschungszentrum Jülich GmbH, Germany)
• Simone Fabiano (Linköping University, Sweden)
• Paschalis Gkoupidenis (Max Planck Institute for Polymer Research, Germany)
• Catherine Graves (Hewlett Packard Laboratories, USA)
• Julie Grollier (Centre National de la Recherche Scientifique, France)
• Daniele Ielmini (Polytechnic University of Milan, Italy)
• Seyoung Kim (Pohang University of Science and Technology, South Korea)
• Hans Kleemann (Technical University of Dresden, Germany)
• Duygu Kuzum (University of California, San Diego, USA)
• Wei D Lu (University of Michigan, USA)
• Matthew Marinella (Sandia National Laboratories, USA)
• Mariela Menghini (IMDEA Materials Institute, Spain)
• Priyadarshini Panda (Yale University, USA)
• Themis Prodromakis (Imperial College London, United Kingdom)
• Jennifer Rupp (Massachusetts Institute of Technology, USA)
• Alberto Salleo (Stanford University, USA)
• Sean Shaheen (University of Colorado Boulder, USA)
• Dmitri Strukov (University of California, Santa Barbara, USA)
• A. Alec Talin (Sandia National Laboratories, USA)
• Benjamin Tee (National University of Singapore, Singapore)
• Kazuya Terabe (National Institute for Materials Science, Japan)
• Wilfred van der Wiel (University of Twente, Netherlands)
• Huaqiang Wu (Tsinghua University, China)
• Joshua Yang (University of Southern California, USA)
• Yuchao Yang (Peking University, China)
• Bilge Yildiz (Massachusetts Institute of Technology, USA)

Symposium Organizers